Here'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.