Cradle helps teams to engineer proteins with fewer, more successful experiments. We use generative machine learning models, accessible through user-friendly software interfaces, to help engineer protein properties such as stability, expression, activity, binding affinity and specificity. We are bridge builders who bring together the best of machine learning, synthetic biology, developer tools, and user experience design. Our mission is to enable a world where most of the products around us can be easily made and degraded biologically using a cell-factory instead of (petro-)chemicals, plants or animal agriculture.
Apply to CradleHere's the tl;dr:
We are on a mission to make programming biology easy. We provide biologists with the software, machine learning & services to discover, design and optimise enzymes and their cell-factories to ultimately produce almost anything.
We're an experienced team. We have built many successful products before and we have raised enough funds to have plenty of runway for the years to come!
We're focused on building the best possible team culture. We're distributed across two locations, and are flexible about when and where we work.
We offer top of the market salary, a generous equity stake in the company and a wide range of benefits from health and wellbeing, financial, to training and career progression opportunities.
What We're Looking For
Cradle’s location in The Netherlands is home to an office and a biotechnology laboratory. The laboratory is where Cradle’s BioEngineering team develops and runs high-throughput workflows for testing Cradle’s designed protein variants in real life. They build DNA libraries, express and purify proteins, and test their functionality. The lab is equipped with state-of-the-art automation that enables scalable and cost-effective experimentation. In the office, biologists work alongside designers and software engineers who develop beautiful and user-friendly software tools.
As a Lab & Office Manager you will oversee that the lab and office are safe, clean, and positive environments to work in. In the lab, you will develop and run processes to keep our lab operations running smoothly. You will ensure that the lab is well-stocked with research consumables, that robots and other equipment are maintained and calibrated, and that waste streams are handled appropriately. In the office you will serve as a contact point for visitors and inquiries, help to organize internal and external events, replenish office supplies where necessary, and let loose your creativity in welcoming new team members, celebrating successes or organizing social activities. If you possess additional superpowers you'd like to put to good use at Cradle, rest assured there's space for that!
If you are organized and proactive, thrive when bringing structure to chaos, enjoy working in a multi-disciplinary team, and want to be a part of building the next-generation platform for making biotechnological products - please apply!
Responsibilities
As Lab and Office manager for Cradle in The Netherlands, you would be expected to:
Create and maintain inventory records of laboratory supplies and consumables. Manage relationships with our suppliers and ensure timely response to backorders.
Receive packages and ensure the correct handling and storage of ordered materials in the laboratory and office.
Oversee and actively participate in the cleaning, maintenance, compliance, and calibration of the laboratory and lab equipment (liquid handling robots, incubators/freezers, centrifuges, and analytical devices).
Develop, implement, and update safety protocols and standard operating procedures (SOPs) to ensure all laboratory work can be carried out safely.
You will oversee the correct handling and disposal of chemical and biological waste streams, in compliance with local regulations.
Prepare and maintain various media, buffers, and solutions needed for experiments.
Work closely with the scientific team to provide support and assistance in their experimental requirements.
Continuously identify areas for improvement within lab and office operations, proposing and implementing solutions to create a more effective, reliable and enjoyable work environment.
Serve as primary contact person for external visitors and inquiries.
Work alongside team members to organize internal and external events, welcome new team members, celebrate successes, initiate social activities.
Help to coordinate the internal and/or external moves.
Need-to-Haves
Higher education degree in biotechnology or related field.
Experience in laboratory management and operations, preferably within a biotechnology or life sciences setting.
Basic understanding of lab equipment, maintenance, and calibration processes.
Knowledge of biosafety regulations and safe handling of chemical and biological materials.
Excellent organizational skills with strong attention to detail.
Strong written and verbal communication skills in Dutch and English.
Flexible and pragmatic approach to changing priorities in a dynamic startup environment.
Team player, comfortable with giving and receiving feedback
Willingness to work in the greater Amsterdam area.
Nice-to-Haves
Experience working with liquid handling robots and other advanced laboratory automation systems.
Familiarity with Dutch biosafety regulations and waste disposal guidelines.
Former training as Biologische Veiligheids Functionaris (BVF) and/or Bedrijfshulpverlening (BHV) and/or First Aid certification.
Drivers license B.
Note
This position is open for 0.6 - 1.0 Full-Time Equivalent (FTE) commitment, providing flexibility in working hours to accommodate diverse needs.
Cradle helps biologists design improved proteins in record time using powerful prediction algorithms and AI design suggestions.
We use generative machine learning models, accessible through user-friendly software interfaces, to help engineer protein properties such as stability, expression, activity, binding affinity and specificity. Our mission is to ultimately help more people build with biology and replacing traditional farms and factories for a more sustainable world.
You will be joining a high-growth, highly ambitious startup with an experienced founding team, whose motivation is building a more sustainable world using biology. We are backed by some of the most well known investors and industry veterans. Joining us now means you will be getting in on the ground floor; you will have a significant impact on how we shape the company, and success will mean an outsized reward.
Did we pique your interest? We'd love to hear from you. Please use this form to apply directly.
Apply to CradleHere's the tl;dr:
We are on a mission to make programming biology easy. We provide biologists with the software, machine learning & services to discover, design and optimise enzymes and their cell-factories to ultimately produce almost anything.
We're an experienced team. We have built many successful products before and we have raised enough funds to have plenty of runway for the years to come!
We're focused on building the best possible team culture. We're distributed across two locations, and are flexible about when and where we work.
We offer top of the market salary, a generous equity stake in the company and a wide range of benefits from health and wellbeing, financial, to training and career progression opportunities.
What We're Looking For
We're seeking a seasoned Automation Engineer to join Cradle's interdisciplinary team and take our innovations to new heights. As a key player in our BioEngineering team, you'll be the driver for automating high-throughput workflows for building DNA and expressing, purifying and testing proteins.
We've reimagined experimentation with our state-of-the-art wet-lab infrastructure, seamlessly integrated with machine learning algorithms allowing for more scalable and cost-effective solutions. But that's not all – we are also developing novel techniques beyond what is mainstream!
As an Automation Engineer, you’ll help shape the strategy and steer the vision. You’ll have the runway to source, onboard and integrate devices (including robotic arms). You'll be the one to keep our automation in-flight and connect devices to our LIMS and ML Ops system.
If you like robots, have a passion for precision and innovation, enjoy collaborating with interdisciplinary teams and want to help the next-generation platform for monumental biotechnological advancements - please apply!
Responsibilities
As an Automation Engineer in the BioEngineering team, you would be expected to:
Onboard new protocols onto our liquid handlers through collaboration with the BioEngineering team to set up robust robotic protocols for building DNA, culturing and transforming microbes, purifying and assaying proteins.
Own and overcome technical hurdles, troubleshooting technical problems
Identify gaps within our automation capabilities,taking ownership of upgrading and/or onboarding new liquid handlers and equipment, collaborating with vendors and internal stakeholders.
Collaborate with the BioEngineering team and external integration party to integrate liquid handlers, robotic arms, and other equipment into a unified platform, streamlining protein optimization workflows.
Define and optimize protocols for pipetting and liquid handling, ensuring accuracy and reproducibility in the experimental processes.
Write code to harmoniously integrate input and output data with our Laboratory Information Management System (LIMS) and ML Ops system, ensuring efficient data tracking and organization.
Conduct regular maintenance and calibration of laboratory automation equipment to ensure consistent performance.
Develop standard operating procedures (SOPs) and training materials to train new users on lab automation, ensuring proper use of the devices.
Need-to-Haves
Bachelor's, Master’s, or PhD degree in a relevant scientific or engineering discipline
Practical experience developing protocols on liquid handlers (e.g. Tecan, Hamilton, Biomek, OpenTrons, iDOT, Echo) and writing scripts for laboratory automation
Strong understanding of liquid classes, pipetting optimization and robotic arm movements.
Proficient in writing readable code in a major language (e.g. Python, C++, Java, etc).
Familiarity with statistical methodologies for understanding, controlling and reducing process variation.
Successful track record tackling complex issues with innovative and resourceful solutions, demonstrating a keen analytical mindset
Skillful balance between working autonomously and contributing collaborating
Ability to think on your feet and adapt strategies as situations evolve
Enthusiasm for acquiring knowledge, contributing effectively, and driving innovation in an early stage startup, displaying a keen appetite for ambiguity and fast pace
Nice-to-Haves
Background in molecular biology and protein engineering
Familiarity with Tecan Fluent liquid handlers
Proficiency navigating automated laboratory scheduling software(e.g. Green Button Go, Plate Butler, and Cellario)
Familiarity with workflow management systems like Airflow, Argo, and Flyte
Proven experience using CAD software, 3D printing, and/or laser cutting
Track record engineering change control processes and/or software version control (Git, VSS, etc.)
Demonstrated prowess designing and building custom integrated systems involving hardware from various vendors
Cradle helps biologists design improved proteins in record time using powerful prediction algorithms and AI design suggestions.
We use generative machine learning models, accessible through user-friendly software interfaces, to help engineer protein properties such as stability, expression, activity, binding affinity and specificity. Our mission is to ultimately help more people build with biology and replacing traditional farms and factories for a more sustainable world.
You will be joining a high-growth, highly ambitious startup with an experienced founding team, whose motivation is building a more sustainable world using biology. We are backed by some of the most well known investors and industry veterans. Joining us now means you will be getting in on the ground floor; you will have a significant impact on how we shape the company, and success will mean an outsized reward.
Did we pique your interest? We'd love to hear from you. Please use this form to apply directly.
Apply to CradleHere's the tl;dr:
We are on a mission to make programming biology easy. We provide biologists with the software, machine learning & services to discover, design and optimise enzymes and their cell-factories to ultimately produce almost anything.
We're an experienced team. We have built many successful products before and we have raised enough funds to have plenty of runway for the years to come!
We're focused on building the best possible team culture. We're distributed across two locations, and are flexible about when and where we work.
We offer top of the market salary, a generous equity stake in the company and a wide range of benefits from health and wellbeing, financial, to training and career progression opportunities.
What we're looking for
For this, we are looking for a motivated Research Associate to strengthen our Bioengineering team. This team is responsible for developing and running high-throughput workflows for building DNA libraries, expressing and purifying proteins, and running characterisation studies (e.g. enzyme activity or binding assays). We’ve built a wet-lab infrastructure that enables much more scalable and cost-effective experimentation, working hand in hand with our machine learning algorithms. Next to more established methods, we’re also developing workflows that are based on fundamentally different techniques than currently is mainstream.
As a Research Associate, you will collaborate with scientists on the team to execute and continuously improve novel wet lab methods for our DNA construction and protein optimisation pipeline. If you enjoy running molecular biology workflows, love to tinker, and want to be a part of building the next-generation platform for making biotechnological products - please apply!
Responsibilities
As a Research Associate in the Bioengineering team, you would be responsible to:
Execute workflows for (library) DNA synthesis and assembly, protein expression, protein purification, and enzyme characterisation;
Suggest and work on improvements to make these workflows more efficient, robust, cost-effective, and integrated;
Effectively communicate results, successes and challenges in a cross-functional environment.
Need-to-Haves
BSc + 2 yrs, MSc, or equivalent experience in molecular biology, biochemistry, enzymology, metabolic engineering, biophysics, or related fields.
Demonstrated experience with in vitro and/or in vivo protein expression systems (e.g. E. coli, B. subtilis, P. pastoris, CHO or HEK cell lines, cell extracts).
Hands-on experience with standard cloning techniques.
Excitement to learn, contribute, and drive innovation in an early stage startup environment. Having an appetite for its ambiguity and fast pace.
Strong verbal and written communication skills in English. Proactively sharing results, successes and challenges in a cross-functional environment.
The ability to run multiple projects simultaneously while ensuring that process steps are documented, and physical / digital data are organized.
Nice-to-haves
It would be splendid if you had hands-on experience with:
Protein purification techniques (e.g. affinity tag purification).
Assay development for enzymatic activity or antibody binding assays.
Protein expression in cell-free systems (cell extracts, myTXTL, PURE).
Expression, purification and screening of antibodies or antibody fragments (scFv, VHH).
Next-generation sequencing techniques (Illumina, Nanopore, PacBio).
Classical high-throughput laboratory automation (robotic liquid handlers, plate readers).
High-throughput advanced cloning technologies, such as site-directed mutagenesis, Gibson Assembly, and Golden-Gate Cloning.
Pooled or multiplexed methodologies for DNA assembly, strain build, or enzymatic assays.
Experience with sample preparation and data analysis in workflows involving analytical methods such as LC/ESI-MS, MALDI-MS, UV/Vis, RP, size exclusion.
Familiarity with scripting languages such as Python, Matlab, R, SQL.
Experience with statistical approaches to understanding, controlling, and reducing process variation.
Cradle helps biologists design improved proteins in record time using powerful prediction algorithms and AI design suggestions.
We use generative machine learning models, accessible through user-friendly software interfaces, to help engineer protein properties such as stability, expression, activity, binding affinity and specificity. Our mission is to ultimately help more people build with biology and replacing traditional farms and factories for a more sustainable world.
You will be joining a high-growth, highly ambitious startup with an experienced founding team, whose motivation is building a more sustainable world using biology. We are backed by some of the most well known investors and industry veterans. Joining us now means you will be getting in on the ground floor; you will have a significant impact on how we shape the company, and success will mean an outsized reward.
Did we pique your interest? We'd love to hear from you. Please use this form to apply directly.
Apply to CradleHere's the tl;dr:
We are on a mission to make programming biology easy. We provide biologists with the software, machine learning & services to discover, design and optimise enzymes and their cell-factories to ultimately produce almost anything.
We're an experienced team. We have built many successful products before and we have raised enough funds to have plenty of runway for the years to come!
We're focused on building the best possible team culture. We're distributed across two locations, and are flexible about when and where we work.
We offer top of the market salary, a generous equity stake in the company and a wide range of benefits from health and wellbeing, financial, to training and career progression opportunities.
What we're looking for
As a Scientist in Antibody Optimization in Cradle's growing Bioengineering team, you'll take our innovations to new heights. Your mission? To develop novel wet lab methods and workflows for antibody optimization using E. coli, S. cerevisiae, and other microbial systems.
We've reimagined experimentation with our state-of-the-art wet-lab infrastructure, seamlessly integrated with machine learning algorithms allowing for more scalable and cost-effective solutions. But that's not all – we are also developing novel techniques beyond what is mainstream!
If you're passionate about antibodies, love to experiment, and want to help build the next generation of biotechnological products, we want to hear from you!
Responsibilities
As our Antibody Optimization Scientist, you’ll:
Pave the way with cutting-edge research in antibody DNA synthesis, expression, purification, and characterization (e.g. stability and affinity)
Develop these methods into efficient, robust, and cost-effective workflows that integrate well with our BioFoundry;
Innovate on existing methods and workflows to further decrease variance, costs, turnaround time, and/or increase throughput;
Setup ultra-high throughput experiments for large-scale antibody characterization (e.g. Tite-Seq or AlphaSeq)
Utilize state-of-the-art technologies and automation to run high-throughput workflows that are fast and efficient, and generate high-quality data
Be the go-to antibody expert at Cradle, communicating your successes, results, and challenges across our interdisciplinary team
Create standard operating procedures for the innovative workflows you develop
Need-to-Haves
PhD or equivalent experience in molecular biology, biochemistry, enzymology, metabolic engineering, biophysics, or related fields.
Proven expertise in antibody expression, purification, screening and characterisation (scFvs, VHHs, etc) with in vitro and/or in vivo protein expression systems.
In-depth experience with different protein purification techniques (e.g. affinity tag purification, protein A/G chromatography) and biophysical antibody characterization techniques (SPR, BLI, DLS, ELISA, etc.)
A successful track record in antibody optimization including affinity maturation, stability and aggregation determination and functional assays
Excitement to learn, contribute, and drive innovation in an early stage startup environment. Having an appetite for its ambiguity and fast pace.
Nice-to-haves
Hands-on experience expressing antibodies in mammalian cell systems (CHO/HEK293)
Familiarity with in vitro display technologies (phage display, yeast display) involving library design, construction, and screening.
Working knowledge of structural biology and protein computational modeling approaches (e.g. Rosetta, Visual Molecular Dynamics, PyMol, RasMol, UCSF Chimera, Crystal Studio)
Experience with statistical approaches and next-gen sequencing techniques (Illumina, NanoPore, PacBio).
Ready to be a part of something extraordinary? Apply today and help us shape the future of biotech!
Cradle helps biologists design improved proteins in record time using powerful prediction algorithms and AI design suggestions.
We use generative machine learning models, accessible through user-friendly software interfaces, to help engineer protein properties such as stability, expression, activity, binding affinity and specificity. Our mission is to ultimately help more people build with biology and replacing traditional farms and factories for a more sustainable world.
You will be joining a high-growth, highly ambitious startup with an experienced founding team, whose motivation is building a more sustainable world using biology. We are backed by some of the most well known investors and industry veterans. Joining us now means you will be getting in on the ground floor; you will have a significant impact on how we shape the company, and success will mean an outsized reward.
Did we pique your interest? We'd love to hear from you. Please use this form to apply directly.
Apply to CradleHere's the tl;dr:
We are on a mission to make programming biology easy. We provide biologists with the software, machine learning & services to discover, design and optimise enzymes and their cell-factories to ultimately produce almost anything.
We're an experienced team. We have built many successful products before and we have raised enough funds to have plenty of runway for the years to come!
We're focused on building the best possible team culture. We're distributed across two locations, and are flexible about when and where we work.
We offer top of the market salary, a generous equity stake in the company and a wide range of benefits from health and wellbeing, financial, to training and career progression opportunities.
Summary
As our (Founding) Account Executive and first commercial hire at Cradle, you will work alongside our founders to scale an early stage business. You will be joining us at an exciting time where we landed our first set of customers and are getting ready to scale the product, helping biologists across the world to develop better proteins using advanced Machine Learning tools.
You will be the engine for our revenue growth, learning how to take a product to market and scale to millions of annual recurring revenue. You’ll build and manage our sales pipeline, close deals with world-leading biotech organizations, and partner with our founders on our go-to-market (G2M) strategy as we expand our ideal customer profile and find success across verticals and geographies. The feedback and strategic insights that you gather from speaking directly to prospective customers will help to steer our roadmap.
You’ll work closely alongside Cradle’s product, engineering, and customer success teams to craft custom proposals for top accounts. You’ll network with scientists and executives in global biotech and pharma, attend events across the world, and become well-known in this space. In a team that is thinking big and expanding rapidly, there are no limits with this role; you are a future commercial leader.
Responsibilities
Develop and manage our sales pipeline, close deals, and partner with our founders on G2M strategy as we expand our customer base and find success across verticals and geographies.
Navigate complex sales cycles with the world’s leading enterprise biotech and pharma companies (300-8,000 employees), securing six to seven figure deals.
Build our sales processes from the ground up! You will craft everything from CRM, sales decks, communication, outbounding strategies, to (variable) compensation. You'll roll up your sleeves and proactively take on what needs to be done.
Cultivate relationships with everyone from scientists to C-level, gaining an understanding of their needs and decision making process.
Need to haves
7+ years of experience in an (enterprise SaaS) B2B sales role, or similar.
Proven track record of consistently exceeding sales quota.
Strong negotiation skills and demonstrated ability to close large deals.
Excellent project management skills. You have successfully managed projects across multiple internal and external teams in a complex, global environment.
Proven track record of cultivating C-suite relationships across industries. You learn to speak their language, and have the gravitas to quickly gain executive credibility, understand organizational political dynamics and develop competitive awareness.
Exceptional analytical skills. Cradle is building a complex product at the interface of protein engineering and machine learning. This does not intimidate you, as you have previously shown to rapidly understand and articulate complex technical concepts, and translate them into industry- or business-relevant terms.
Outstanding verbal and written communicator. You craft beautiful presentations, write with ease and clarity, and tailor delivery to the audience.
You listen intently, are innately curious, and learn with humility.
You are a team player who thrives in a fast-paced and ambiguous environment.
Nice to haves
Domain knowledge of biotechnology or machine learning.
Prior experience at a (B2B) growth-stage startup.
Strong business network in global biotech and pharma.
Cradle helps biologists design improved proteins in record time using powerful prediction algorithms and AI design suggestions.
We use generative machine learning models, accessible through user-friendly software interfaces, to help engineer protein properties such as stability, expression, activity, binding affinity and specificity. Our mission is to ultimately help more people build with biology and replacing traditional farms and factories for a more sustainable world.
You will be joining a high-growth, highly ambitious startup with an experienced founding team, whose motivation is building a more sustainable world using biology. We are backed by some of the most well known investors and industry veterans. Joining us now means you will be getting in on the ground floor; you will have a significant impact on how we shape the company, and success will mean an outsized reward.
Did we pique your interest? We'd love to hear from you. Please use this form to apply directly.
Apply to CradleHere's the tl;dr:
We are on a mission to make programming biology easy. We provide biologists with the software, machine learning & services to discover, design and optimise enzymes and their cell-factories to ultimately produce almost anything.
We're an experienced team. We have built many successful products before and we have raised enough funds to have plenty of runway for the years to come!
We're focused on building the best possible team culture. We're distributed across two locations, and are flexible about when and where we work.
We offer top of the market salary, a generous equity stake in the company and a wide range of benefits from health and wellbeing, financial, to training and career progression opportunities.
What we are looking for
For this challenge we are looking for backend software engineers who are excited to peek out of the virtual world and join us on designing a platform for optimizing biological systems. Be ready to witness first hand what happens when you leave the bits and bytes behind and try to solve challenges with nature’s constraints and complexity.
Responsibilities:
As a backend software engineer, you will be responsible to:
Develop a decoupled, service oriented platform application powered by sophisticated machine learning tools
Support the team in establishing a stable, high quality and flexible software engineering process
Collaborate with biologists, machine learning experts and scientists alike and learn to understand their domain
Need to haves
Strong algorithmic and problem solving skills
You have proven track record of developing back-end systems in a modern cloud environment.
You have excellent knowledge of software development best practices, including code reviews, version control, and CI/CD pipelines.
You write readable code. Cradle aims to build a team of excellent computer scientists which includes advanced coding skills. We are set but not fixed on coding in Python at the moment.
You are able to communicate well. We are working at the intersection of biology and software where good communication is key.
You are kind and work well in teams. We look for team players who contribute to a positive and friendly working environment.
Nice to haves
Extensive knowledge of the Python programming language and its ecosystem.
A solid understanding of application development lifecycle, testing principles, and agile practices.
You have worked with databases or big data systems.
You have been working on production systems for machine learning applications.
Experience in building containerized backend systems using Docker and Kubernetes.
Cradle helps biologists design improved proteins in record time using powerful prediction algorithms and AI design suggestions.
We use generative machine learning models, accessible through user-friendly software interfaces, to help engineer protein properties such as stability, expression, activity, binding affinity and specificity. Our mission is to ultimately help more people build with biology and replacing traditional farms and factories for a more sustainable world.
You will be joining a high-growth, highly ambitious startup with an experienced founding team, whose motivation is building a more sustainable world using biology. We are backed by some of the most well known investors and industry veterans. Joining us now means you will be getting in on the ground floor; you will have a significant impact on how we shape the company, and success will mean an outsized reward.
Did we pique your interest? We'd love to hear from you. Please use this form to apply directly.
Apply to CradleHere's the tl;dr:
We are on a mission to make programming biology easy. We provide biologists with the software, machine learning & services to discover, design and optimise enzymes and their cell-factories to ultimately produce almost anything.
We're an experienced team. We have built many successful products before and we have raised enough funds to have plenty of runway for the years to come!
We're focused on building the best possible team culture. We're distributed across two locations, and are flexible about when and where we work.
We offer top of the market salary, a generous equity stake in the company and a wide range of benefits from health and wellbeing, financial, to training and career progression opportunities.
What we are looking for
For this challenge we are looking for full stack software engineers who are excited to peek out of the virtual world and join us on designing a platform for optimizing biological systems. Be ready to witness first hand what happens when you leave the bits and bytes behind and try to solve challenges with nature’s constraints and complexity.
Responsibilities:
As a full stack software engineer, you would be responsible to:
Develop a decoupled, service oriented platform application powered by sophisticated machine learning tools
Implement lightweight and modularized web-based user interfaces and visualizations
Support the team in establishing a stable, high quality and flexible software engineering process
Collaborate with biologists, machine learning experts and scientists alike and learn to understand their domain
Work in a cloud native runtime environment using Google Cloud, Kubernetes, helm, docker et al.
Integrate a variety of existing tools for biological processes in the Cradle ecosystem
Need to haves
Strong algorithmic and problem solving skills
You enjoy designing software systems. We are in an early stage of the company where you will majorly contribute to the software design of the product.
You are excited about all parts of the software stack which is reflected in your past projects. At any given day you could be asked to extend a web server API, contribute to a codon optimizer*, or even implement a UI plugin.
You are interested and excited about learning a new domain. You will be faced with a lot of new concepts and enjoy learning diverse topics.
You have excellent knowledge of software development best practices, including code reviews, version control, and CI/CD pipelines.
You are able to communicate well. We are working at the intersection of biology and software where good communication is key.
You write readable code. Cradle aims to build a team of excellent computer scientists which includes advanced coding skills. We are set but not fixed on coding in Python at the moment.
You are kind and work well both independently and in teams. We look for team players who contribute to a positive and friendly working environment.
*Do a little research online if you don’t know what this is :)
Nice to haves
Extensive knowledge of the Python programming language and its ecosystem.
A solid understanding of application development lifecycle, testing principles, and agile practices.
You have worked with databases or big data systems.
You have designed user interfaces and are familiar with one or more of the popular frameworks.
You have been working on production systems for machine learning applications.
Experience in building containerized backend systems using Docker and Kubernetes.
Cradle helps biologists design improved proteins in record time using powerful prediction algorithms and AI design suggestions.
We use generative machine learning models, accessible through user-friendly software interfaces, to help engineer protein properties such as stability, expression, activity, binding affinity and specificity. Our mission is to ultimately help more people build with biology and replacing traditional farms and factories for a more sustainable world.
You will be joining a high-growth, highly ambitious startup with an experienced founding team, whose motivation is building a more sustainable world using biology. We are backed by some of the most well known investors and industry veterans. Joining us now means you will be getting in on the ground floor; you will have a significant impact on how we shape the company, and success will mean an outsized reward.
Did we pique your interest? We'd love to hear from you. Please use this form to apply directly.
Apply to CradleHere's the tl;dr:
We are on a mission to make programming biology easy. We provide biologists with the software, machine learning & services to discover, design and optimise enzymes and their cell-factories to ultimately produce almost anything.
We're an experienced team. We have built many successful products before and we have raised enough funds to have plenty of runway for the years to come!
We're focused on building the best possible team culture. We're distributed across two locations, and are flexible about when and where we work.
We offer top of the market salary, a generous equity stake in the company and a wide range of benefits from health and wellbeing, financial, to training and career progression opportunities.
What we are looking for
For this challenge we are looking for software engineers who are excited to peek out of the virtual world and join us on integrating promising ML models in a protein design platform. Be ready to witness first hand what happens when you leave the bits and bytes behind and try to solve challenges with nature’s constraints and complexity. We look for candidates who are not shy to take research papers or ML prototypes and turn them into scalable product features. Besides dealing with the ML models itself, a big part of your job will be to build the necessary infrastructure around the machine learning models to make them accessible and useful to biologists.
Responsibilities:
As a software engineer in machine learning, you would be responsible to:
Take an algorithm from a research project and transform it into robust, well-tested, functional code
Support the team in establishing a stable, high quality and flexible software engineering process.
Set up validations and benchmarks to ensure a high quality of ML models.
Collaborate with biologists, software engineers and scientists alike and learn to understand their domain
Contribute to open source software and establish a community around Cradle and its platform
Need to have
You have 3+ years of experience in building machine learning infrastructure
You have proven track record of developing back-end systems in a modern cloud environment.
Proficiency with Python or a similar dynamic programming language.
You have strong problem solving skills, and an exquisite mastery of fundamental algorithms and data structures. You write readable code.
You are kind and work well in teams. We look for team players who contribute to a positive and friendly working environment.
Nice to haves
You have worked with natural language processing models or models applied to protein sequence-to-function relationships
You have an understanding of genomics and molecular biology.
Cradle helps biologists design improved proteins in record time using powerful prediction algorithms and AI design suggestions.
We use generative machine learning models, accessible through user-friendly software interfaces, to help engineer protein properties such as stability, expression, activity, binding affinity and specificity. Our mission is to ultimately help more people build with biology and replacing traditional farms and factories for a more sustainable world.
You will be joining a high-growth, highly ambitious startup with an experienced founding team, whose motivation is building a more sustainable world using biology. We are backed by some of the most well known investors and industry veterans. Joining us now means you will be getting in on the ground floor; you will have a significant impact on how we shape the company, and success will mean an outsized reward.
Did we pique your interest? We'd love to hear from you. Please use this form to apply directly.
Apply to CradleHere's the tl;dr:
We are on a mission to make programming biology easy. We provide biologists with the software, machine learning & services to discover, design and optimise enzymes and their cell-factories to ultimately produce almost anything.
We're an experienced team. We have built many successful products before and we have raised enough funds to have plenty of runway for the years to come!
We're focused on building the best possible team culture. We're distributed across two locations, and are flexible about when and where we work.
We offer top of the market salary, a generous equity stake in the company and a wide range of benefits from health and wellbeing, financial, to training and career progression opportunities.
Job Description
As a User Experience Research Assistant at Cradle, you will play a vital role in helping our User Experience Team gather insights from user interviews, code and organize key takeaways, and contribute to the continuous improvement of our platform. We are seeking someone with a biology background who can engage in technical conversations, summarize complex topics, and pay attention to detail. While prior user experience research experience is a plus, it is not a requirement, as we are open to training the right candidate who is passionate about user experience research and excited to work in a startup environment.
Key Responsibilities:
Take notes based on user interviews conducted by the User Experience Researcher, using recorded interviews.
Summarize and code user interviews to help identify key insights and trends.
Maintaining an organized repository of user insights.
Assist in administrative tasks related to upcoming interviews, such as creating documents with details for note takers.
Manage administrative tasks for completed interviews to ensure all documentation is organized and readily accessible.
Collaborate closely with the User Experience Researcher to support ongoing research efforts.
Need-to-Haves:
A background in biology or a related field is required to engage effectively in technical conversations.
Strong attention to detail and the ability to summarize complex technical discussions.
Curiosity about user experience research and a willingness to learn.
Excitement about working in a fast-paced startup environment.
Excellent English communication and organizational skills.
Ability to work remotely and independently and manage your time effectively.
Nice-to-Haves (not mandatory! We believe in learning)
Previous user experience research experience is a plus but not mandatory. Here are some links that may be helpful to understand more:
Familiarity with machine learning
Hours and Compensation:
This is a remote contract position.
Weekly hours will vary based on the number of interviews conducted, estimated initially at 2-3 hours per interview.
We have a backlog of interviews to code, so hours may be higher initially to catch up on this backlog.
Compensation will be discussed during the interview process.
Cradle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Cradle helps biologists design improved proteins in record time using powerful prediction algorithms and AI design suggestions.
We use generative machine learning models, accessible through user-friendly software interfaces, to help engineer protein properties such as stability, expression, activity, binding affinity and specificity. Our mission is to ultimately help more people build with biology and replacing traditional farms and factories for a more sustainable world.
You will be joining a high-growth, highly ambitious startup with an experienced founding team, whose motivation is building a more sustainable world using biology. We are backed by some of the most well known investors and industry veterans. Joining us now means you will be getting in on the ground floor; you will have a significant impact on how we shape the company, and success will mean an outsized reward.
Did we pique your interest? We'd love to hear from you. Please use this form to apply directly.