- Ph.D. in computer vision, machine learning, computer science, clinical machine learning or a related discipline, or equivalent practical experience (e.g., a Master’s degree plus 2 years of relevant industry experience)
- Experience developing models for diverse computer vision tasks (e.g. segmentation, recognition, classification, domain adaptation) including using modern deep learning frameworks (PyTorch, JAX, Keras, etc)
- Extensive hands-on experience working with biomedical imaging modalities
- Experience with modern representation learning approaches such as self-supervised learning, transfer learning, multi-modal modeling, few-shot learning, and more
- Strong programming skills in Python, including processing TB-scale image datasets using Linux/Bash
- Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
- Passion for making a difference in the world
- Experience building infrastructure for clinical image dataset preprocessing
- Experience with real-world challenges of clinical data analysis, including working with clinical datasets such as EHR/PACS or clinical trial data and interactions with clinicians
- Demonstrated ability to write software in a team, through industry experience or substantial involvement with open source projects
- Some understanding of human physiology or disease biology (especially cancer, metabolism, or neurodegeneration)
- Publication record of meaningful contributions to high-quality work in relevant computer vision, clinical ML, or biomedical venues
- Familiarity with cloud computing services (e.g., AWS or GCP)
- Proficiency in C++/OpenCV/CUDA, or other compiled, statically-typed languages and related computer vision/graphics libraries
Our target starting salary for successful US-based applicants for this role is $160,000 - $205,000. To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, the level at which they are actually hired, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.
In addition, insitro also provides our employees:
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
The Opportunity
The heart of insitro’s strategy is the combination and application of machine learning to disease biology at scale, and novel analyses from clinical datasets that address key shortcomings in the target discovery and drug development process. To accomplish that, we are putting together an incredible team of highly talented drug discovery scientists who want to make a difference by bringing meaningful and accessible medicines to patients with significant unmet needs. In this role, you will help build our pipeline of drug candidates by working to support drug discovery projects.
Key Responsibilities:
- Provide structural and chemical insight of protein ligand interactions to drive towards clinical candidates
- Build tools and infrastructure to improve drug design cycles
- Work at the interface of drug discovery and ML modeling to advance projects
- Support efforts in data integration and curation in drug discovery
- Explore new approaches to apply machine learning in drug discovery
You will be joining a growing biotech startup that has long-term stability due to significant funding, but yet is very much in formation. A lot can change in this early and exciting phase, providing many opportunities for significant impact. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!
About You
- PhD in Chemistry or Computational Science (cheminformatics, computational chemistry, computer science or other scientific area with a computational emphasis)
- Proven track record of advancing projects through modeling work
- High level of creativity and productivity towards solving design problems
- Proficiency with scientific modeling software, programming/scripting, and informatics tools
- Working knowledge of drug discovery principles and techniques across project life cycle
- Excellent written and verbal communication skills across multi-functional teams
- Intellectual curiosity to push the boundaries of drug discovery
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
The Opportunity
Software engineering plays a key role in insitro's approach to rethinking drug development. The Compute Core software engineering team designs and oversees the computing platform that powers our biological data factory's robots, instruments, and machine learning efforts. This platform functions as the backbone of all computing at insitro, and hence it must be reliable, accessible, secure, scalable, and cost-effective.
As a member of the Compute Core team, you will work closely with a cross-functional team of scientists, bioengineers, and data scientists to identify areas where novel data engineering solutions enhance our ability to search for new therapeutics. You will design software and develop data architectures on high-throughput platforms that enable our scientists to be maximally productive.
In this role, you will frequently collaborate with other machine learning and software engineering teams to optimize the performance of scientific workflows and devise automated pipelines for their execution. Your daily responsibilities will include designing and deploying cloud infrastructure, such as managed databases, application servers, and batch computing environments. You will also be involved in writing and/or deploying software solutions to facilitate accessing and using these resources. This includes crafting systems to improve the observability, security, and cost-efficiency of all computing endeavors.
In short, as a member of the Compute Core team, you will constantly be presented with novel challenges, and you will have the opportunity to make an impact on every computing effort ongoing at insitro!
The Requirements
- 4+ years of experience building and maintaining software solutions on public cloud platforms
- Experience writing software in one or more languages (Python preferred)
- Experience architecting reliable computing infrastructure including scalable services, performance monitoring and alerting, and redundant systems
- Expertise working within a Linux environment (writing shell scripts and basic system administration)
- Experience with container-based platforms like Docker and Kubernetes
- Proficiency with infrastructure management tools such as Terraform or SaltStack
- Skill with version control tools and other engineering best practices
- Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
The Wish List
- Experience automating software development processes including data transfers and build systems
- Experience with managing medium to large-sized data sets (100TB+) in cloud storage systems
- Knowledge of observability and profiling tools to optimize production workflows
- Experience with high-performance computing or batch computing systems such as AWS Batch and SLURM
- Experience with biological, microscopy, and/or chemical datasets
- Experience defining and implementing infrastructure following compliance guidelines (HIPAA, GDPR, ISO 27001, etc.)
- A deep desire to make a difference in the world!
Compensation & Benefits at insitro
Our target starting salary for successful US-based applicants for this role is $180,000 - $230,000. To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, the level at which they are actually hired, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.
In addition, insitro also provides our employees:
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
insitro is changing the way that drugs are discovered and developed for patients. We are building a platform that generates novel insights from applying machine learning to a combination of high-quality cellular data, generated in-house, and externally sourced human cohort data.
We are seeking a highly motivated individual with a strong financial acumen and demonstrated interest in building a career in strategic finance, evidenced by a broad range of financial modeling experience for the Life Sciences industry. This role requires outstanding data analysis, an ability to structure complex problems, and to drive scenario analysis to support internal and external facing finance or corporate development initiatives. You will build critical analyses and materials that further our relationship with pivotal external collaborators (i.e. investors & pharmaceutical partners) and that support external negotiations and future capital formation events.
This role is highly collaborative and will operate across the Finance Team and the Corporate Development and Strategy Team. You will also have the opportunity to work on a wide range of high impact corporate strategy projects for, and in partnership with, insitro’s Executive Team.
This is an excellent opportunity for someone passionate about using their skills at the intersection of science, finance and business strategy to advance therapeutic discovery and help make a difference to patients!
Strategic Finance (Valuation, Forecasting, Cash Management)
- Own, update and enhance the company valuation model that is used as a basis for our long-term planning and investor communications
- Partner with FP&A to analyze liquidity, cash concentration and cash forecasting
- Partner with Senior Finance Leadership to evolve our capital allocation strategy and project level planning
- Partner with CFO / CBO to map out a range of growth, forecast, and valuation scenarios and enable scenario planning at the Leadership, Executive and Board level
- Support IR and sell side analyst interactions regarding company value trajectory and value inflection points
- Support future capital formation events
- Collaborate closely with scientific teams to craft financial analyses guiding material spend decisions
- Collaborate on treasury strategy and portfolio management decisions, to increase returns while managing risk effectively
Corporate Development & Strategy (Scenario and Decision Analysis, Special Projects)
- Support collaborations and business development activities through financial analyses, modeling, and materials development. Distill what matters most to generate recommendations, scenario analysis and key risks for deal structuring & external negotiations
- Assist with ad-hoc reporting and analysis to advise business decision-making
- Provide leverage to the team by leading the creation of high quality presentations for a range of key audiences, including potential partners, executives and the Board of Directors
- Support overall corporate strategy and assist senior leadership with high-impact special projects
You will be joining an exciting biotech startup that has long-term stability due to significant funding, while maintaining a culture of innovation. You will work as part of a close-knit team, learn career enhancing skills, and help shape insitro’s culture, strategic direction, and overall impact!
Academics, Work Experience & Characteristics
- Bachelor's degree in Science, Business, Finance or related field
- Minimum of 3 years' work experience, inclusive of investment banking, management consulting in a corporate finance or equivalent division, or equities sell-side, with a clear focus on the pharma or biotech sector with a deeply quantitative lens
- Direct career experience in DCF asset valuation in biotech or pharma, SOTP company valuation, and 3-statement financial modeling
- Exceptional financial modeling skills, reporting metrics and presentation in Excel, Thinkcell, G-Sheets and G-Slides
- Excellent communication (verbal and written) and strong interpersonal skills
- Understanding of capital markets - both public and private
- Deep understanding of financial business drivers in biotech
- Exceptional problem-solving skills, a highly analytical and inquisitive working style coupled with a keen attention to detail
- Ability to work independently with general direction and guidance
- Ability to prioritize and multitask in a dynamic environment
- Self-motivated
- “Get Things Done”: A self-starter, with a strong bias to action, who can intuitively prioritize and advance multiple projects under the resource, information and time constraints of an early stage startup
- “Engage with Respect”: Prioritize a compassionate understanding of the needs and perspectives of insitro teams & leaders in every interaction and analysis
- “Own the Outcome”: Proactively take ownership of solving problems
- Passion for making a difference in the world!
- Experience with Anaplan or comparable FP&A system
- Experience with Oracle Cloud or comparable ERP
- Experience building Monte Carlo simulations
- Exposure to machine learning approaches, as applied to biology discovery or in related fields
- Exposure to, or keen understanding and interest in, working in a venture capital backed startup environment
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
The Opportunity
insitro is changing the way that drugs are discovered and developed for patients by applying a machine learning-driven approach that leverages insights derived from a combination of external human cohort data and high-quality cellular data generated in-house. To enable and execute on this vision, we require access to large and/or deep datasets with high-content phenotypic measurements relevant to human health. We need to be nimble, thoughtful, and creative in prioritizing, accessing, and/or creating these datasets, as well as in how to best leverage the data and our platform to maximally benefit patients.
The Senior Manager of Corporate Development and Data Strategy will be responsible for collaborating with internal scientific and technical teams to prioritize external engagements that enable access to a generation of high-content clinical and molecular data critical for the development of insitro’s platform. Reporting to the Senior Director of Corporate Development and Head of Data Strategy, you will contribute to insitro’s larger scientific and corporate strategy by supporting the identification, structuring, and execution of diverse collaboration structures focused on expanding our footprint across human genetic and clinical data. This is an excellent opportunity for someone passionate about therapeutic discovery and making an impact to patients!
Your key responsibilities will include the following:
- Working cross-functionally to scope, negotiate and execute innovative transactions centered on human data, machine learning, and their joint application to improve clinical outcomes
- Landscaping available data sources and modalities to align with the needs and capabilities of insitro's ML and TA teams
- Creatively structure collaborations and identify “win-win” opportunities with potential partners
- Communicate effectively and collaborate cross-functionally to coordinate input into partnering strategy and execution
- Supporting additional corporate development activities, including asset diligence and biopharma collaborations, as necessary
You will be joining an exciting biotech startup that has long-term stability due to significant funding, while maintaining a culture of innovation. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and impact on patient outcomes. Join us, and help make a difference to patients!
About You
- Advanced degree (PhD or MD) in computational biology, genetics/genomics, biomedical / clinical informatics, machine learning (with focus on clinical data), or equivalent experience in the diagnostics, data, or biopharma industry
- 2+ years of professional experience, with one or more of:
- Business development and/or client-facing function at a provider of genetic, genomic, proteomic, transcriptomic and/or tissue data generation technology for translational science or clinical development
- Strategy consulting with project experience oriented towards use of human data for discovery, health tech / data platforms, and/or providers of R&D or translational science technologies (e.g., sequencing, imaging, etc.)
- Investment banking focused on discovery stage biotech and/or R&D or translational science technology companies
- Strong understanding of high-content human data modalities (e.g., genetics/genomics, histopathological imaging, spatial biology) and data generation technologies
- Familiarity with computational methods that are relevant to biomedical informatics, clinical informatics, statistical genetics, and/or medical genetics
- A bias to action and ability to operate effectively under ambiguous, rapidly changing circumstances
- Passion for building something different and desire to make a difference in the world
Nice to Have
- Exposure to the research and development stages of the pharmaceutical value chain, including target discovery, target validation, and clinical trials
- Experience working under the resource and time constraints of an early stage startup
Compensation & Benefits at insitro
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
The Opportunity
Global drug development productivity is declining exponentially, with an overall failure to develop effective treatments for many increasingly prevalent complex diseases affecting millions of patients per year. We seek to tackle this by combining innovative machine learning techniques with pioneering technologies that measure multiple cellular aspects, aiming to drastically improve and accelerate how drugs are discovered and developed.
We are looking for highly motivated interns to join the data science & machine learning (DSML) team looking to work at the intersection of machine learning and life sciences for our Summer 2024 cohort.
You will partner directly with a DSML team mentor in developing and/or applying ML methods to process and analyze large scale datasets from multiple modalities over the course of the summer (11 weeks). The DSML diverse team that works across the company spanning imaging, omics, statistical genetics, small molecule discovery, clinical research, and research software engineering.
Example of areas & topics you will be working on:
- Computational Biology:
- Perform single cell transcriptomics data analysis, including cell type annotation and modeling of differentiation trajectories using RNA velocity;
- Use bioinformatic methods to perform downstream analysis in order to extract insights about disease mechanisms, such genes and pathways that are relevant to the therapeutic areas;
- Methods for Omics & Imaging data modalities:
- Develop, productionize, and deploy cutting-edge ML approaches to analyze and integrate large-scale multi-modal phenotypic datasets, including multi-omic; modalities (single-cell (sc) transcriptomics, sc-ATAC-seq), and imaging (e.g. brightfield, histopathology).
- Develop ML methods to process and analyze images from multiple microscopy modalities and integrate our in-vitro imaging data to extract insights about disease mechanisms.
- Research Engineering:
- Explore several recent papers on self-supervised learning for images and demonstrate whether they provide practical benefits when applied to insitro’s internal biological datasets, compared to our current algorithms;
- Help us integrate new large language models into our analysis tools to help our analysts get more out of our experimental data, faster.
- Statistical and Translational Genetics:
- Develop workflows to enable post-GWAS (Genome-Wide Association Scan) analysis of results, e.g. fine-mapping
- Translational genetics deep dives: enabling higher throughput annotation and exploration of candidate genes from our discovery efforts
- Pipelines to better derive and leverage metadata from sequenced cell lines and to incorporate this into image-based ML feature extraction
- Design of statistical methods to improve rare variant burden tests, and methods to improve power in longitudinal phenotypes
- Clinical Machine Learning
- Develop ML models for imputing disease-relevant phenotypes from high-content clinical imaging or time series data (e.g., histopathology, MRI/PET-CT, EEG, EKG)
- Develop ML methods for disentangling axes of variation in complex phenotypes
- Use LLMs to extract disease-relevant information from medical records
- Small Molecule Machine Learning:
- Build rich embedding models using DNA-Encode Library (DEL) data, and use these representations for downstream drug discovery tasks such as hit-discovery.
- Explore generative models of small molecules in various data modalities such as 2D and 3D representations for hit-to-lead drug discovery efforts.
- Develop new geometric deep learning methods to better characterize nuanced molecular properties and relationships.
What you will learn through this experience:
- In the course of the internship you will learn diverse machine learning techniques and rigorously analyze complex dataset and design metrics to ensure robustness of our methods.
- You can expect to develop and prototype solutions to enable ML based decisions in our automated workflows.
- You will work closely with machine learning engineers and scientists, biologists, chemists, microscopy experts, and automation engineers.
- You will be mentored by one of our senior researchers, who has significant experience in machine learning and computational biology.
- You will also attend our machine learning team meetings and will be exposed to a diverse set of novel technologies and machine learning concepts that tackle various biological questions.
In return, we will support you by:
- Placing a high degree of trust in your ideas and execution
- Bringing you up to speed in the domain of drug development
- Strive to provide a low-stress work environment
- Making ourselves available for collaboration
- Caring about you as a whole person - not a resource
- Being a well funded startup with conservative runway
About You
- Working towards a BS, MS, or Ph.D. in engineering, computational biology, systems biology, computer science, mathematics, statistics, life science, chemistry, physics, or a related field
- Proficiency in one or more general-purpose programming languages. We primarily use Python
- Interest in using and developing brand new statistical and machine learning methods inspired by real problems
- Curiosity about human physiology or disease biology
- Committed to writing high-quality, well-commented code and documentation
- Ability to communicate effectively and collaborate with people of diverse group of backgrounds and job functions
- Passion for making a difference in the world
Nice to Have
- First-hand experience with biological data, preferably using computational approaches
- Passion for learning how to work with diverse functional genomic assays (RNA/DNase/ATAC/ChIP-seq, etc)
- Interest in learning how to analyze single-cell RNA-seq data
- Solid understanding of computational chemistry, including virtual screening (classic QSAR modeling, structure based drug-discovery), library design, etc
- Demonstrated ability to use and develop cutting edge statistical and machine learning methods inspired by real problems
- Experience with Machine and Deep Learning frameworks (e.g., scikit-learn, PyTorch, etc.)
- Demonstrated ability to write high-quality, production-ready code (readable, well-tested, with well-designed APIs)
- Experience in Linux environment, database languages (e.g., SQL, No-SQL) and version control practices and tools such as Git or Mercurial
- Publications of high-quality work in relevant computational biology, bioinformatics, systems biology, life sciences, or biomedical venues, including journals and conferences
- Passionate about solving problems, asking questions and learning independently
- Familiarity with the SciPy/PyData ecosystem (numpy, pandas, scipy, dask etc.)
- Familiarity with cloud computing services (AWS or GCP)
- Familiarity with statistical analysis software, e.g. R
In addition, insitro also provides our interns:
- Excellent medical, dental, and vision coverage; insitro pays 100% of premiums for employees
- Excellent mental health and well-being support
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
The Opportunity
insitro is pioneering a new approach to drug discovery and development, enabled by the use of machine learning to interrogate large amounts of both cellular and clinical data to increase the probability of clinical success. At a time when several of insitro’s therapeutic discovery programs are heading towards the clinic, we are seeking an innovative, data-driven Chief Medical Officer, who will drive our development strategy, and ensure that we maximize our machine learning capabilities both to increase the success of our clinical programs and to accelerate them. This effort will involve a careful design of innovative, adaptive clinical trials, using machine learned biomarkers on high-content clinical and real-world data to select the right patients, to optimize dosing regimens (including combinations), and to craft quantitative, clinically significant endpoints.
Your work will therefore begin well before our programs enter the clinic, as you partner with our discovery, translational medicine and operations teams to help lay the foundation for these novel clinical trial designs. In addition to your scientific role, you will also be a partner in hiring the team, and in setting the culture of the company to ensure teamwork across people of very diverse subject areas.
Your primary duties will be:
Lead all aspects of Clinical Development:
- Build and lead a team of clinical development professionals, including clinical scientists, medical directors, and clinical trial managers
- Drive the development and execution of clinical trial protocols, investigator brochures, and clinical development plans
- Supervise and evaluate ongoing clinical trials, making data-driven decisions to optimize trial progress or appropriate termination
- In partnership with leading external providers, develop a groundbreaking global trial operations platform
Drive strategy on clinical trial design and innovation:
- Own the development and implementation of innovative clinical trial designs that leverage AI and data analytics to optimize patient recruitment, improve trial efficiency, and increase the probability of success
- Collaborate with cross-functional teams, including machine learning scientists, bioinformaticians, and statisticians, to craft and implement ground breaking clinical trials that incorporate adaptive and Bayesian methodologies
- Design and incorporate novel biomarkers and surrogate endpoints to accelerate decision-making in clinical development
Collaborate on broader company strategy:
- Provide medical leadership and strategic input across all stages of drug development, from target identification to post-marketing activities
- Work with other company leaders to guide our corporate and therapeutic area strategy, bringing in perspectives on patient unmet need, tractability of clinical development and availability of regulatory pathways
Regulatory affairs:
- Oversee medical affairs, pharmacovigilance, and regulatory affairs to maintain the highest standards of patient safety and compliance
- Ensure compliance with global regulatory standards and guidelines, working closely with regulatory affairs to support successful submissions and approvals
Broader communication:
- Foster collaborations with external partners, key opinion leaders, and academic institutions to enhance our scientific and clinical capabilities
- Effectively communicate the company's clinical strategy and progress to stakeholders, including the board of directors, investors, and regulatory agencies
About You
Scientific experience
- Medical Doctor (MD) or equivalent degree with board certification in a relevant therapeutic area (oncology, metabolic disease, immunology, or neuroscience) 20+ years of proven experience in clinical development within the pharmaceutical or biotechnology industry, with a track record of successful IND and NDA submissions. Leading role in the design and execution of multiple clinical trials, ideally across more than one therapeutic area, with at least one regulatory approval
- Experience with the use of complex biomarkers in clinical development, as well as innovative clinical trial designs
- In-depth knowledge of regulatory requirements, including FDA and EMA guidelines, and a track record of successful interactions with regulatory agencies
- Curiosity about cutting-edge computational and data science methods Appreciation for human genetics and its use in target identification or validation
Leadership/personality traits
- Data-driven, quantitative approach, and a track record of collecting and using data in clinical development
- Track record in building and leading a high-performance team, with extensive experience at the executive level
- Ability to interact optimally across disciplinary boundaries, including people from a diverse set of backgrounds
- A can-do demeanor consistent with a startup environment, including the ability to move quickly, work hard, and do what it takes to be successful
- Excellent interpersonal skills, including the ability to convey complex medical and scientific concepts to diverse audiences
- Demonstrated critical thinking and a transformative approach to medical leadership in the context of AI-driven drug development
Nice to have
- Significant strategic role in at least one NCE that has acquired full regulatory approval (BLA or NDA)
- Experience working across multiple therapeutic modalities
- Experience working across multiple therapeutic areas
- Experience in both large biopharma and small startups
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
The Opportunity
At insitro, we are trying to greatly increase the success rate of drug development by combining human biology, lab automation, and machine learning, at scale.
Central to insitro's thesis is our ability to integrate rich datasets across modalities. From live cell imaging to single-cell RNA sequencing to DNA encoded libraries, insitro generates a diverse and ever growing torrent of data. Our software teams develop the foundation of lab orchestration software and data pipelines that transform that torrent into the actionable datasets driving our target and drug discovery efforts.
We are looking for highly motivated interns looking to work at this intersection of software engineering and the life sciences for our Summer 2024 cohort. You will partner directly with an engineering mentor and lead a project from inception to prototype over the course of the summer (11 weeks).
What you’ll do day to day:
- Ship stuff that makes our scientists say “this is amazing, thank you so much!”
- Collaborate with folks from our machine learning, automation, and biology groups
- Directly shape our roadmap for empowering scientists
- All the normal SWE stuff: write code, write and review design docs, talk to collaborators, and do code reviews
- Ultimately you’ll move the needle in a meaningful way for insitro and the field of medicine
Examples of projects you will be working on:
- Design a new domain specific data exploration tool and onboard our wetlab scientists.
- Design and implement a data extraction and transformation pipeline for a new microscope.
- Integrate a new physical instrument into our robotic automation stack.
- Add a feature to our internal ML experimentation system to improve performance profiling of multi-GPU training jobs.
In return, we will support you by:
- Placing a high degree of trust in your ideas and execution
- Bringing you up to speed in the domain of drug development
- Strive to provide a low-stress work environment
- Making ourselves available for collaboration
- Caring about you as a whole person - not a resource
- Being a well funded startup with conservative runway
About you
- Working towards a BS, MS, or Ph.D. in an engineering, mathematics or a life sciences discipline
- You’re eager to ship work that makes a difference to scientists and ultimately patients
- Experience in one or more general-purpose programming languages. We primarily use Python
- Ability to write high-quality code as demonstrated by prior experience, Github account or personal webpage
- Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
Nice to Have
- Experience with biological data (e.g. DNA sequences, RNAseq, proteomics, microscopy)
- Experience in Linux environment, database languages (e.g., SQL, No-SQL) and version control practices and tools such a Git or Mercurial.
- Familiarity with the SciPy/PyData ecosystem (numpy, pandas, scipy, dask etc.)
- Familiarity with web services and application frameworks (Django, Flask)
- Familiarity with cloud computing services (AWS or GCP)
- Familiarity with data pipelines, workflow engines, distributed computing technologies (Spark, Hadoop, etc)
In addition, insitro also provides our interns:
- Excellent medical, dental, and vision coverage; insitro pays 100% of premiums for employees
- Excellent mental health and well-being support
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
The Opportunity
insitro is a drug discovery and development company using machine learning and data generation at scale to transform the way that drugs are discovered and delivered to patients. A strong environment of efficient and effective business systems are vital for our day to day procurement operations to help deliver on this mission, as well as ensure we’re able to report financial information accurately and timely.
Reporting to the Associate Director, Financial Reporting & Technical Accounting, the Senior Business Systems Analyst at insitro will be a strategic partner working with our Finance and Procurement Teams, cross-functional collaborators, and outside vendors to maintain and improve our finance systems to support our rapidly growing Finance operations. This role will serve as our business systems and ERP subject matter expert primarily supporting Oracle Cloud and other financial applications. This role is responsible for optimizing and leading our Finance system roadmap. As a technical authority, you will translate business requirements into solutions and see them through to completion using your own expertise, support from the Finance, Procurement, and Information Technology Teams, as well as leading and partnering with outside vendors.
Your key responsibilities will include:
- Partner with Finance team on system enhancement projects to optimize and automate current financial accounting and procurement processes (e.g., implementing supplier punch-outs, automate cash reconciliation process)
- Manage end-to-end process of system enhancement projects from gathering and documenting business requirements, partner with managed service providers and internal resources to develop and implement solutions, performing and documenting testing, and following up on any issues
- Design reports and dashboards to address business needs and streamline financial accounting processes and procurement operations
- Provide technical end user support for lower level production issues, from root cause through resolution, or any other maintenance activities
- Effectively manage high priority tickets (either individually or working with outside vendor) and longer projects, while not impacting the speed of business
- Analyze current processes and systems to make improvement recommendations based on application best practices
- Support current and future integrations between Oracle Cloud and other financial and business applications
- Implement a ticketing process to streamline and document approvals on Finance processes
- Supervise finance systems environment maintenance and refresh schedules, as well as test and document applications patches prior to production
- Review and maintain segregation of duties, user roles, and user access in Oracle Cloud and other finance systems (as applicable)
- Document user guides, end-to-end system workflows, process narratives, and / or policies to support training on new system enhancements and maintain process documentation
- Prepare and support ITGC and SOX documentation as applicable
- Participate in special projects and perform other job-related duties as assigned
You will be joining a vibrant biotech startup that has long-term stability, due to significant funding, and is in a high growth phase. A lot can change in this early and exciting phase, providing many opportunities for significant impact. You will work closely with a very dedicated team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!
About You
- 5+ years of increasing responsibility in a similar role
- Bachelor’s in Accounting, Finance, Business Administration, IT, Computer Science, or similar related field
- Oracle ERP functionality expertise (all flows) required. ERPCloud expertise highly preferred
- Experience using Oracle reporting tools (OTBI, SmartView, FRS)
- Proficient knowledge of ERP, Accounting close process, Procurement, SCM, Payroll
- Experience gathering business requirements and translating them into technical design documents
- Effective written and verbal communication skills
- Effective project management skills to prioritize work to meet deadlines
- Solid understanding of SOX and audit practices
- Ability to work independently with general direction and guidance
- Ability to prioritize and multitask in a constantly evolving environment
- Self-motivated with a strong sense of ownership
- Passion for making a difference in the world
Nice to Have
- Life Sciences experience
- Experience with PowerBI / Tableau
- Experience with Anaplan, UKG, and Jira or comparable systems and programs
Compensation & Benefits at insitro
Our target starting salary for successful US-based applicants for this role is $145,000 - $165,000. To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.
In addition, insitro also provides our employees:
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
- Ph.D. in computer vision, machine learning, computer science or a related discipline, or equivalent practical experience (e.g., a Master’s degree plus 2 years of relevant industry experience)
- Effective in team-based software design and development
- Demonstrated ability to use and develop cutting edge methods for analyzing imaging data
- Extensive hands on experience working with microscopy data or similar biomedical or biophysical imaging modalities
- Experience developing models for diverse computer vision tasks (e.g. segmentation, recognition, classification, domain adaptation) including using modern deep learning frameworks (PyTorch, TensorFlow, Keras, etc)
- Strong programming skills in Python, including processing TB-scale image datasets
- Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
- Passion for making a difference in the world
- Demonstrated ability to write software in a team, industry experience or substantial involvement with open source projects.
- Experience modeling with video or imaging time-series datasets
- Experience building infrastructure for image preprocessing
- Experience with microscopy data acquisition
- Some understanding of image formation models (Fourier optics)
- Familiarity with cloud computing services (e.g., AWS or GCP)
- Experience with database languages (e.g., SQL)
- Publication record of meaningful contributions to high-quality work in relevant computer vision, clinical ML, or biomedical venues
- Proficiency in C++/OpenCV/CUDA, or other compiled, statically-typed languages and related computer vision/graphics libraries
Our target starting salary for successful US-based applicants for this role is $185,000 - $225,000. To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, the level at which they are actually hired, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.
In addition, insitro also provides our employees:
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
- Lead and grow a team of outstanding machine learning imaging scientists
- Guide your team to develop and deploy ML to analyze data from diverse imaging modalities, ranging from fixed and live cell microscopy to histopathology to MRI
- Onboard and build on state of the art computer vision methods, while also bringing in an understanding of the unique needs of biomedical imaging modalities
- Lead yearly and quarterly planning, set impactful goals, and align with with cross-functional stakeholders
- Engineer robust, reusable platform components in partnership with the software engineering team
- Work with biologists and automation engineers to design experiments that generate datasets that are fit for purpose for machine learning, including ones generated explicitly for training ML models
- Work with the corporate development and strategy teams to acquire relevant external data sets
- Collaborate with colleagues working on complementary data modalities (‘omics, clinical annotations, etc) to help produce a holistic, multimodal view on human disease stat
- Ph.D. in machine learning, computer vision, computer science, or a related discipline, or equivalent practical experience
- 5+ years experience working in industry and managing projects and deliverables
- Experience and demonstrated ability to build and lead teams of engineers and scientists, including recruiting and mentoring team members
- Demonstrated ability to architect and build reusable code infrastructure and work with engineering teams
- Demonstrated ability to use and develop cutting edge computer vision methods inspired by real problems
- Demonstrated ability to work with and analyze medical imaging data (e.g., histopathology), cell imaging data, or ideally both
- Experience in modern representation learning topics such as self-supervised learning, transfer learning, multi-modal modeling, few-shot learning, robustness and interpretability, uncertainty estimation, and more
- Experience using modern deep learning frameworks (PyTorch, Jax, etc)
- Proficiency in Python
- Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
- Passion for making a difference in the world
- Publication record in high profile venues in machine learning, computer vision, or life sciences
- High profile venues in machine learning, computer vision, or life sciences
- Familiarity with cloud computing services (e.g., AWS or GCP)
- Exposure to basic concepts in biology or medicine
- Proficiency in scientific engineering and modern engineering practice
Compensation & Benefits at insitro
Our target starting salary for successful US-based applicants for this role is $235,000 - $300,000. To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, the level at which they are actually hired, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.
In addition, insitro also provides our employees:
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
The Opportunity
insitro is a drug discovery and development company using machine learning and data generation at scale to transform the way that drugs are discovered and delivered to patients. Information Security provides a critical foundation for our work due to our unique approach of combining high throughput biology, machine learning and software engineering for drug discovery.
Your mission will be to interface with colleagues across the entire organization to provide remarkable IT service so that insitro can can achieve this goal. You will apply your knowledge, experience, and communication skills to enhance and maintain IT services and systems crucial to our mission to help patients.
This role requires someone who is friendly, technically proficient, can multi-task, enjoys being part of a team, and thrives solving issues in a timely manner. Occasional evening and weekend work will be required. Please note that this position will be onsite in our South San Francisco office.
This is an excellent opportunity for someone passionate about therapeutic discovery and making an impact to patients!
Job Description:
- Collaborate cross-functionally by working closely with other colleagues from labs to software development in order to ensure seamless integration of IT solutions that meet their specific needs.
- Provide a high level of technical expertise by serving as a point of escalation for complex technical issues, guiding junior team members through troubleshooting and resolution
- Investigate the root causes of critical issues, providing insights to prevent future occurrences and improve overall system stability
- Work closely with other departments, such as software development and labs, to ensure seamless integration of IT solutions that meet their specific needs.
- Install, configure, secure, optimize and troubleshoot IT systems in a diverse environment
- Maintain accurate records of hardware and software assets, ensuring proper licensing, maintenance, and replacement as needed.
- Manage vendor relationships and evaluate performance for IT equipment, software, and services
- Coordinate technology upgrades by recommending, planning and executing changes while ensuring compatibility with existing systems to minimize disruption.
- Contribute to business continuity by aligning IT systems with overall resilience strategies
- Design and deliver new training and documentation that help elevate the skills of your colleagues across the organization so they can more effectively solve problems and do more with technology.
- Participate in on-call rotations for addressing critical IT issues
- Proactively work to improve IT experiences by identifying and implementing process improvements and automation
- Champion IT best practices by staying informed about industry trends and recommending relevant technologies
- Provide guidance and mentorship to others on the team
About You
- You are highly motivated by, curious and passionate about information technology
- You establish trusting relationships with a high level of confidentiality across functions and levels
- You effectively communicate highly technical information to both technical and nontechnical staff
- You demonstrate a growth mindset and are open to continuous learning and self-improvement in the ever-evolving field of information technology
- You are proactive in staying up to date with technology trends and industry best practices
- You have a problem-solving mindset and are driven to find creative solutions to complex IT challenges
- You have a confident presence and are driven to get things done
- You enjoy building things and making a contribution to developing a IT program
- You have 5+ years of increasing responsibility in a similar role
Nice to Have
- Experience with working in a regulated biological, chemical lab settings
- Experience with enterprise system management and monitoring tools
- Relevant IT certifications
- Experience with automation and scripting languages (e.g. Python, Bash)
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
The Opportunity
The ability to extract biologically and clinically meaningful signals from high content imaging data is at the heart of insitro’s efforts to rethink drug development. At insitro, we develop and apply advanced cellular disease modeling techniques, sequencing and image acquisition automation that generates petabytes of high dimensional data. Machine learning methods allow us to construct disease-relevant phenotypes and to identify causal factors for those phenotypes, which help reveal new therapeutic interventions. As a Microscopy Systems Engineer, you will collaborate with our world-class teams in machine learning, data science, software engineering, lab automation, cell biology, and therapeutic areas to prototype, develop, and maintain innovative microscopy systems engineered to meet and exceed the needs of our biological science teams.
Key Responsibilities:
- Develop conventional and computational imaging modalities to identify therapeutic targets and developing drugs that have high efficacy and low toxicity as part of our drug-discovery platform
- Work with automation and machine learning engineers to generate microscopy datasets at scale that are fit for purpose for machine learning, including ones generated explicitly for training of machine learning models
- On-board scalable advanced microscopy technologies to uncover insights from sample types including fixed and live representations of complex (2D and 3D) human cell culture systems
- Develop and maintain software tools for orchestrating microscopy acquisitions using modern software practices (source control management, code review), often in collaboration with software engineers
You will be joining an exciting biotech startup that has long-term stability due to significant funding, but that is still very much in formation. You will have ample opportunities for growth and impact. You will work closely with a diverse and dedicated team, learn a range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!
About You
- M.S. or Ph.D. in optical engineering, computer science, biomedical engineering, physics, or related field, or equivalent relevant experience
- Hands-on experience working with imaging systems, and a solid understanding of microscope components and configurations
- Experience with at least one high-level programming language and the software development process (including source control management and code review)
- Ability to communicate effectively and collaborate with people of a diverse group of backgrounds and job functions
- Passion for providing better medicine to patients in need!
Nice To Have
- Experience with the co-development of hardware and software for computational imaging and/or photography
- Significant experience developing software using python, C#, and/or C++ programming languages
- Experience with a CAD software package (Solidworks, NX, Inventor, Fusion360, OnShape, etc.) and component fabrication
- Understanding of machine learning approaches and techniques, especially for imaging
Compensation & Benefits at insitro
Our target starting salary for successful US-based applicants for this role is $140,000 - $155,000. To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
The Opportunity
The heart of insitro’s strategy is the development of novel, innovative methods in machine learning and high-throughput biology that address key bottlenecks in the drug development pipeline. To accomplish this, we are putting together a team of life scientists with expertise in cellular and biochemical assays.
In this role, the successful candidate will be responsible for the development and execution of mid/high throughput biochemical/cellular assays and mechanistic experimentation to advance early stage drug discovery projects. The candidate will work closely with a team of multidisciplinary scientists to enable key assays/models and studies to advance a diverse portfolio of small molecules targeting neurological and metabolic disorders. We value a highly collaborative working style centered on effective communication and rigorous scientific exploration. If you are a highly motivated teammate with a strong desire to impact patients in diseases related to metabolic disorders, we invite you to consider joining our team!
You will be joining a biotech startup that has long-term stability due to significant funding, but yet is very much in formation. A lot can change in this early and exciting phase, providing opportunities for significant impact. You will work closely with a very dedicated team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!
Primary responsibilities:
- Develop, optimize, and perform cellular assays to support the Metabolic Diseases therapeutic area
- Culture immortalized, primary (e.g. hepatocytes and adipocytes) and iPSC-derived cells
- Use molecular biology and functional genomics techniques such as CRISPR and siRNA to evaluate disease biology
- Conduct imaging-based assays to support the metabolic disease therapeutic area
- Maintain accurate documentation of experiments in electronic lab notebook (ELN)
- Collaborate with colleagues on multi-disciplinary project teams to provide scientific/technical contributions and deliver project goals
About You
- BS/MS in Biochemistry, Cell Biology, Pharmacology or a relevant scientific subject area, with a minimum of two (2) years of drug discovery experience in a biotech/pharmaceutical setting
- Experience in the development and execution of cellular assays using a wide range of experimental methods and detection technologies including advanced microscopy, ELISA, immunofluorescence
- Hands on experience in culturing liver cells and iPSC differentiation, a plus
- Proven ability to work in cross-functional teams to advance drug discovery, with excellent organization and communication skills
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
The Opportunity
The heart of insitro’s strategy is the combination of novel, cutting edge methods in machine learning, biology at scale and drug discovery capabilities that address key bottlenecks in the drug development pipeline. To accomplish that, we are putting together an incredible team of highly talented drug discovery scientists who want to make a difference by bringing meaningful and accessible medicines to patients with significant unmet needs. In this role, you will help build the Oligonucleotide platform capabilities at insitro including siRNA, mRNA, ASOs, conjugation and formulation.
Key Responsibilities:
- Guide oligonucleotide efforts (including tools and therapeutics) in projects as project team member
- Build insitro’s oligonucleotide capabilities through CRO or industry collaborations
- Work cross-functionally to drive oligonucleotide projects through different stage gates towards clinical development candidates
- Deeply engage cross-functionally to evaluate new targets towards drug discovery efforts.
You will be joining a growing biotech startup that has long-term stability due to significant funding, but yet is very much in formation. A lot can change in this early and exciting phase, providing many opportunities for significant impact. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!
About You
- PhD in organic, peptide or oligonucleotide chemistry, molecular biology or a related discipline with 5+ years of direct experience in oligonucleotide design, synthesis, conjugation and formulation
- Deep understanding of the oligonucleotide drug discovery process
- Demonstrated track record of leadership advancing oligonucleotide projects through different stages of drug discovery and early-stage development
- Proven leadership capabilities in cross-functional teams
- First hand experience in setting up and using CROs for oligonucleotide drug discovery
- Track record of innovation and impact on projects through peer-reviewed publication and/or patent applications
- Excellent written and verbal communication skills across multi-functional teams
- Intellectual curiosity to push the boundaries of drug discovery
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
The Opportunity
The heart of insitro’s strategy is the development of novel, innovative methods in machine learning and high-throughput biology that address key bottlenecks in the drug development pipeline. Genetic epilepsies and neurodevelopmental diseases in particular are an area of great potential to derive therapeutic benefit for patients using insitro’s platform. The Associate Scientist III/Scientist I, Neuroscience will partner with scientific and project teammates to develop and execute biochemical/cellular assays and in vitro mechanistic experimentation to support the advancement of our pipeline. The candidate will work closely with a team of multidisciplinary scientists, in vitro assay developers, in vivo pharmacologists, and translational biologists to support the progression of our drug development pipeline. We value a highly collaborative working style centered on effective communication to drive results at a fearless pace. If you are a highly motivated individual and teammate with a strong desire to impact patients in diseases related to neuroscience, we invite you to consider joining our team.
You will be joining a biotech startup with long-term stability due to significant funding, but yet is very much in formation. A lot can change in this early and exciting phase, providing many opportunities for significant impact. You will work closely with a versatile team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!
Primary Responsibilities
- Develop, optimize, and perform cellular and biochemical assays to support mechanistic understanding in our drug discovery programs as well as target identification and validation efforts within the Neuroscience therapeutic area.
- Collaborate with colleagues within the Neuroscience therapeutic area on cross-functional teams encompassing in vitro assay development scientists, cell biologists and in vivo pharmacologists.
- Culture primary rodent and iPSC-derived neuronal subtypes cell-types related to neurodevelopmental and neurodegenerative disease models.
- Maintain accurate documentation of experiments in electronic lab notebook (ELN) and follow all laboratory training and safety requirements
- Evaluate and implement new enabling technologies and methodologies related to assay development and target validation packages to support drug discovery programs within the Neuroscience therapeutic area
- Collaborate with colleagues on multi-disciplinary project teams to provide scientific/technical contributions and deliver project goals
About You
- A PhD with one (1) year of experience or BS/MS in Biochemistry, Cell Biology, Pharmacology or a relevant scientific field, with a minimum of five (5) years of drug discovery experience in a biotech/pharmaceutical setting
- Experience with the development and execution of cellular assays at mid and high throughput scale, using a wide range of experimental methods and detection technologies including advanced microscopy, immunoassays (IF, ELISA, Biochemical), functional assays (Electrophysiology, MEA, Calcium Imaging).
- Experience in high throughput imaging and assay development from image based systems.
- Familiarity with coordination and shared documentation (Gsuite, Slack, Smartsheets).
- Demonstrated ability to work in cross-functional teams to advance drug discovery, with excellent organization and communication skills
Nice to Have
- Experience and knowledge of neurological and psychiatric disorders and in vitro models with an emphasis on epileptic, neurodegenerative, and cognitive disorders
- Hands on experience with in vivo animal models, including animal dissections, tissue sectioning, surgeries, and other in vivo techniques.
- Experience with molecular biology and functional genomics techniques such as CRISPR and siRNA, and antisense oligonucleotides (ASOs) .
- Experience with analysis scripts in python, R and collaborative platforms such as jupyter notebooks.
- Hands-on experience with high throughput automated cell culture and dosing equipment (Echo, Plate washers, Certus, Hamilton, etc), interaction with automation engineers a plus.
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
The Opportunity
The heart of insitro’s strategy is the combination of novel, cutting edge methods in machine learning, biology at scale and small molecule discovery that address key bottlenecks in the drug development pipeline. To accomplish that, we are putting together an incredible team of highly talented translational scientists who want to make a difference to this important problem. The Scientist II, Translational Medicine (Biomarkers) will be responsible for supporting biomarker identification development to advance insitro’s non-clinical and clinical development pipeline. Specifically, the candidate will work in a cross-functional, multi-disciplinary environment to understand the biology of therapeutic targets/disease indications to identify and develop relevant biomarkers to inform non-clinical and clinical research strategy, study/trial design, and data analysis/interpretation in the context of neurological disease and disorders. A successful candidate will be flexible, collaborative, innovative, and rigorous and will thrive in a dynamic, exciting, and high-impact environment.
In broader context, you will be joining a growing biotech startup that has long-term stability due to significant funding, but yet is very much in formation. A lot can change in this early and exciting phase, providing many opportunities for significant impact. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!
Primary Responsibilities
- Evaluation therapeutic targets and associated biology
- Evaluation of disease indications and associated biology and any established biomarkers
- Evaluation and prioritization of different endpoints/biomarkers that translate from in vivo studies to clinical trials.
- Monitoring of ongoing internal and external clinical trials, with an emphasis on biomarker utilization, analysis, and interpretation
About You
- MD, MD/PhD, or PhD with 4+ years of experience in clinical and/or biomarker development
- Experience with providing a clinical input during non-clinical development and early clinical development to ensure success of regulatory submissions and seamless transition to clinical development
- Experience as a clinical subject matter expert in a neurological disease or similar
- Experience in the design, implementation, execution, monitoring, and data analysis and interpretation for clinical trials
- Experience performing diligence on therapeutic target biology and/or clinical indications
Nice to Have
- Direct experience with genetic epilepsies, neurodevelopmental disorders, and neurodegenerative diseases
- Direct experience with regulatory submissions (e.g. pre-IND, IND) particularly with respect to the clinical sections
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
The Opportunity
The heart of insitro’s strategy is the combination of novel, cutting edge methods in machine learning, human biology at scale and molecular discovery that address key bottlenecks in the drug development pipeline. We are searching for an outstanding physician scientist with expertise in the utilization of human imaging, soluble biomarker, germline and somatic genetic data sets to help guide our oncology drug discovery strategy. In this role you will be responsible for aligning and advancing our internal and partnered programs with a relentless focus on unequivocally improved patient clinical outcomes. You will work with cross-functional teams and serve as a bridge between ML enabled laboratory models, internal and collaborative drug discovery teams, and human data at scale to inform our oncology drug discovery and development strategy. You will inform the strategy for using clinical data at scale combined with advanced ML to inform our understanding of disease progression, treatment resistance, and for identifying clinically relevant patient subpopulations. You will be an integral part of the rapidly expanding Oncology Therapeutic Area and work closely with the executive team to develop an advanced machine learning-enabled drug discovery strategy.
Your primary duties will be to
- Play a key strategic role in integration of the patient perspective to inform disease modeling and drug discovery efforts, including understanding the standard of care, areas of unmet need, and identifying viable target-patient profiles.
- Partner with colleagues in data science & machine learning (DSML) and in corporate development to identify critical data assets and/or commission the generation of data for discovery efforts in oncology.
- Collaborate closely with data science & machine learning (DSML) colleagues to define machine learning (ML) models for clinical data to inform our understanding of patient trajectory and patient subpopulations and to identify novel endpoints for clinical trials.
- Assist drug discovery teams to prepare IND-enabling data packages in alignment with clinical development objectives.
- Longer-term, partner with market planning and commercial development colleagues on market research and target-patient profiles for new programs.
- Contribute as a clinical area expert dedicated to translational approaches and early clinical development.
- Participate in efforts to model and design ML-enabled clinical trials for internal and/or partnered programs.
- Participate in strategic overview of presentations, publications, and internal/ external communications along with accountable project and program leadership.
You will be joining as the founding team of a biotech startup that has long-term stability due to significant funding, but yet is very much in formation. A lot can change in this early and exciting phase, providing many opportunities for significant impact. You will work closely with a very versatile team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!
About You
- MD or MD/PhD in a technical field (oncology, immuno-oncology, cell & molecular biology, etc.) or equivalent, with 8+ years of postdoctoral experience.
- Experience working with cancer patients, patient data, patient trajectories/disease progression and clinical trial design.
- Experience with biomarker data sets such as; clinical imaging, proteomics, metabolomics, and transcriptomics.
- Familiarity with pioneering oncology translational models (patient-derived organoids, patient derived xenografts, primary metastatic etc)
- Experience working as part of a high-performance team, including goal setting and contributing to a culture of effective, high-quality methods development and reducing those methods to a practical implementation.
- Excellent teamwork, communication, time management and organization skills
- Strong verbal and written communication skills across all levels both within an organization and with external partners.
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
- Set the direction for insitro’s therapeutic strategy in oncology
- Recruit and lead a high performance team
- Work with other company leaders to identify and prioritize target indications and biologic mechanisms in this TA, and participate in assessing and prioritizing indications and programs in other TAs
- Partner with our corporate development team to identify, acquire or construct relevant human cohort data sets that can help inform our understanding of the disease
- Work cross-functionally to design machine learning models and experimental work that will help deconvolute oncogenic processes, stratify patients and identify drug targets
- Lead efforts to follow up on these targets with the goal of producing viable therapeutic interventions
- Lead external collaborations with partners and with other organizations and individuals in efforts related to the oncology area
- MD, PhD or MD/PhD in technical field (biology, immunology, genetics) or equivalent practical experience
- 20+ years of post-training experience in a role involving translational science or drug research and development, with at least 15 years of relevant industry experience that spans both research and early clinical development in oncology
- A track record of using unbiased, data-driven approaches for scientific and/or drug discovery, with an openness to the use of human clinical data as a primary discovery approach;
- A record of execution and innovation, exemplified by generating ideas, launching projects and advancing therapeutic candidates into the clinic;
- Extensive experience with a broad spectrum of state-of-the-art cellular and biochemical assays;
- Experience working on mechanisms associated with the tumor microenvironment is a strong plus
- Significant exposure to human genetics and an understanding of its importance in identifying valid therapeutic targets
- Demonstrated track record in building partnerships or collaborations with data scientists or computational biologists
- Track record of building and leading a high-performance team, including goal setting
- Ability to operate within a fast-moving, startup environment
- Highly collaborative, team-oriented, and an effective communicator
- Passion for making a difference in the world
Compensation & Benefits at insitro
Our target starting salary for successful US-based applicants for this role is $260,000 - $340,000. To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, the level at which they are actually hired, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.
In addition, insitro also provides our employees:
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
The Opportunity
insitro’s approach to rethinking drug development applies innovative data science and machine learning, at scale, throughout the discovery process. As a Research Engineer, you will help implement, validate, and deploy our largest and most complex methods and models. We work on a variety of problem domains and datasets, including multi-petabyte collections of high-content biological imaging, genomics, and biomolecular structures. To support insitro’s work at this scale, our team is passionate about the craft of scientific software engineering, ensuring that our tools, infrastructure, and models are scalable, correct, maintainable, and robust. You will work closely with our data scientists, software engineers, biologists, and laboratory scientists to find opportunities and implement projects that will aid our drug discovery efforts. Typical projects might include onboarding methods from research papers, reducing the cost of training existing models, crafting a framework for benchmarking competing methods, or working alongside scientists to deploy methods at scale. While not required, some knowledge of biological or chemical data is valuable in understanding the unique requirements and applications of ML to biology and drug discovery.
About You
- Ph.D. in computer science, statistics, mathematics, physics, engineering, plus two years additional experience, or equivalent experience (for example, BS plus 7 years experience)
- Research experience with modern data science techniques; machine learning experience is required, but expertise in other techniques may also be helpful, such as Bayesian inference or probabilistic programming
- Fluency in one or more general-purpose programming languages (strong preference for experience in scientific Python)
- Experience working with teams throughout the full lifecycle of designing, implementing, deploying, and maintaining robust scientific software
- Strong desire to deliver work that aids in pioneering drug discovery!
Nice to Have
- Experience building, shipping, and benchmarking large-scale ML systems, foundation models, or large language models (LLMs)
- Experience with data modalities relevant to drug discovery, such as microscopy, genetics, or natural language, including patient records, and scientific literature.
- Experience working on ML experimentation tooling and platforms
- Experience working with high-performance computing resources, such as GPU clusters
- Past experience working on multi-functional teams
- Previous open-source contributions or publications demonstrating impact in relevant projects
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
The Opportunity
Insitro’s mission is to bring better drugs faster to the patients who can benefit most, through machine learning and data at scale. A key part of that mission is to rapidly identify safe and effective molecules that modulate novel targets that emerge from our biology discovery engine. Towards that goal, we have been building a cutting-edge, machine-learning-enabled capability to design and optimize small molecule therapeutics. Our work is enabled by proprietary experimental capabilities, including: generation of extensive binding, selectivity and affinity data via our second generation DNA-encoded library (DEL) platform; rapid synthesis to assay; ML-enabled measurement and analysis of high-content cellular phenotypes driven by small molecule perturbations; and the enablement of active learning via internal lab capabilities and extensive automation. In this role, you will collaborate with our world-class teams in drug discovery, software engineering, lab automation, and cell biology to build a unique approach for rapidly designing and optimizing small molecule therapeutics that have high efficacy, low toxicity and excellent pharmaceutical properties.
In this role, you will:
- Work collaborative with our Drug Discovery leaders on the strategy for deployment of advanced ML to accelerate and optimize small molecule drug discovery
- Lead and grow a team of outstanding machine learning scientists
- Guide your team to develop and deploy ML methods to analyze data from diverse small molecule data sets, including DEL binding data, pharmacological properties, and high-content functional readouts
- Onboard and develop ML-based molecular design methods, spanning from large data regimes (e.g., from DELs) to low-data regimes (few-shot or zero-shot), and including both predictive models and generative models
- Lead yearly and quarterly planning, set impactful goals, and align with cross-functional stakeholders
- Engineer robust, reusable platform components in partnership with the software engineering team
- Work with our chemistry and automation teams to design experiments that generate datasets that are fit for purpose for machine learning, including ones generated explicitly for training ML models
- Collaborate with the corporate development and strategy teams to assess potential external partners for molecular design collaboration and to acquire external data sets
You will be joining an exciting tech bio startup that has long-term stability due to significant funding, but that is still very much in formation. You will have ample opportunities for growth and impact. You will work closely with a diverse and talented team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!
About You
- Ph.D. in computer science, chemistry, biochemistry, or a related discipline, or equivalent practical experience (e.g., a Masters degree plus 2 years in relevant industry experience)
- At least 5 years of industry experience in the field, including at least 2 in a line management or technical leadership role
- Peer reviewed publications in high-quality conferences or journals
- Demonstrated in-depth knowledge in the foundations and practice of modern machine learning, including deep learning, and their application to diverse molecular design tasks ● Considerable experience working with machine learning methods for small molecule chemistry across diverse tasks
- Demonstrated ability to lead a team of scientists and engineers to plan, execute and deliver a full machine learning solution for challenging, real-world problems: sourcing and qualifying training data; designing and implementing machine learning models; testing & benchmarking; shipping stable, robust, high-performance code.
- Extensive experience developing models using modern deep learning frameworks (PyTorch, TensorFlow, Keras, etc)
- Demonstrated ability in software engineering, including expertise in one or more general-purpose programming languages (such as Python, Java, Scala, C/C++, or Go) and experience with cloud computing (preferably AWS)
- Proven ability to mentor, coach, and lead junior scientists
- Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
- Passion for providing better medicine to patients in need
Nice to have
- Experience working on real world drug discovery campaigns
- Familiarity with non-ML methods for molecular design, such as traditional cheminformatics and molecular dynamics
- Exposure to ML methods in a low-data regime (few-shot or zero-shot learning)
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
The Opportunity
Machine learning lies at the core of insitro’s approach to rethinking drug development. Our team is responsible for the small molecule machine learning platform at insitro, and our responsibilities include design of high-throughput data generating experiments, design and execution of ML driven solutions for accelerating key problems in the drug discovery space, and creation of APIs and tooling for making the entire process reproducible and faster over time.
We are rapidly developing our small molecule hit-finding capabilities through cutting-edge machine learning technology. One of the key technologies we develop and leverage at insitro is DNA encoded libraries (DELs). Using DELs, we rapidly generate drug hits for validated targets coming out of our platform. Our combination of automated screening technology and machine learning enables us to extract promising hits from typically noisy DEL datasets and iterate far more rapidly than traditional high throughput screening approaches.
In this role, you will develop new models for molecule optimization utilizing data from multiple modalities, including DNA encoded libraries. To be effective, these models require powerful molecule representations that exploit relevant chemical principles and synthesize data from disparate sources. To achieve this, you’ll partner directly with chemists, machine learning scientists, hardware and software engineers, and clinicians to drive our drug discovery programs.
What you’ll do day to day:
- Deep dive into our DNA encoded libraries to define molecular models that incorporates the correct inductive biases to leverage the huge combinatorial datasets of DELs
- Collaborate cross-functionally with folks from our machine learning, automation, chemistry, and especially computational chemistry groups to develop new machine learning tools for hit discovery and lead optimization
- Directly shape the roadmap for our ChemML platform
- Shape our team’s culture with your ideas and experience
- All the normal ML stuff: document your method development, implement and share your methods in code, write and review design docs, talk to collaborators, and do code reviews
- Ultimately you’ll move the needle in a meaningful way for insitro and the field of medicine!
Examples of projects you will be working on:
- Design new model architectures that leverage knowledge about the chemical building blocks used to synthesize our DNA encoded libraries
- Leverage novel generative methods to generate new molecules in 2D and 3D space
- Better understand and develop machine learning methods for making out-of-distribution predictions for molecular datasets
- Collaborate with our software engineering teams to streamline dataset generation for model training
- Collaborate with our clinical scientists to deploy your models to accelerate a specific therapeutic area pipeline
In return, we will support you by:
- Placing a high degree of trust in your ideas and execution
- Bringing you up to speed on our DNA encoded library technology
- Making ourselves available for collaboration
- Caring about you as a whole person - not a resource
- Being a well funded startup with conservative runway
About you:
- You have 5+ years of experience as a machine learning scientist, with 2+ years of experience with chemistry datasets
- You’re eager to ship work that makes a difference to scientists and ultimately patients
- You feel comfortable reasoning about the tradeoffs between quality and speed when building in a startup environment
- You have experience with at least one high-end ML development environment such as Tensorflow or Pytorch
- You have experience with at least one cheminformatics toolkit such as OpenEye, RDKit, or Schrodinger
- You’ve demonstrated your ability to develop novel machine learning methods that go beyond putting together existing code, and to apply problem-solving skills to complex issues in the chemistry domain
- Bonus
- Experience with protein-ligand binding datasets
- Experience with DNA encoded library datasets
- Experience with our software stack: AWS, python, SQLAlchemy, PostgreSQL, Docker, workflow engines such as redun, pytorch
Compensation & Benefits at insitro:
Our target starting salary for successful US-based applicants for this role is $170,000 - $225,000. To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.
In addition, insitro also provides our employees:
- 401(k) plan with employer matching for contributions
- Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
- Open, flexible vacation policy
- Paid parental leave
- Quarterly budget for books and online courses for self-development
- Support to occasionally attend professional conferences that are meaningful to your career growth and development
- New hire stipend for home office setup
- Monthly cell phone & internet stipend
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits