Research Scientist, Life Sciences (Large Molecules, Antibody Design)

The shape of it

In the posting’s own words

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

What it asks for · 5

• PhD in biochemistry, protein engineering, immunology, molecular biology, or a related field
• Demonstrated experience in therapeutic antibody discovery and engineering, including at least one antibody you helped take from discovery through candidate selection and IND-enabling studies
• Working knowledge of what an antibody IND requires across pharmacology, pharmacokinetics, toxicology, and chemistry, manufacturing, and controls (CMC)
• Comfort navigating ambiguity and defining problems in a rapidly evolving research environment
• Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills

Also a plus

• 5+ years of therapeutic antibody experience beyond the PhD
• Track record of advancing more than one antibody program into IND-enabling studies or the clinic, with contributions to pre-IND or IND documents
• Hands-on experience with antibody expression, purification, and biophysical characterization
• Experience directing antibody production, assays, and in vivo studies at contract research organizations
• Structural biology, computational protein design, or coding skills, for example Python for sequence and assay data analysis or structure prediction and protein design tools
• Experience using AI or ML tools in the life sciences
• Publications and/or patents demonstrating scientific impact

What the job covers

• Design and engineer therapeutic antibodies and oversee programs end to end, including target and epitope selection, choice of format (IgG, Fab, scFv, VHH, bispecific), humanization, affinity maturation, Fc engineering, and candidate selection
• Define the screening cascade for each program, from binding kinetics (SPR, BLI), epitope binning, and species cross-reactivity to cell-based functional assays and developability (expression, aggregation, polyreactivity, stability, viscosity, immunogenicity risk)
• Plan the path from lead to IND-enabling studies, including in vivo pharmacology, pharmacokinetics, toxicology, and the handoff to process development and manufacturing
• Coordinate antibody production, characterization, and in vitro and in vivo studies with external contract research organizations and academic partners
• Evaluate AI-designed antibodies, drive them to experimental readout, and feed results back to research teams
• Ensure experimental data across programs is high quality and well documented, including sequences, protocols, raw data, and failure modes
• Communicate findings clearly to biology, AI research, and life sciences audiences

Degree language

• PhD in biochemistry, protein engineering, immunology, molecular biology, or a related field

Tools and skills named

Words the posting leans on

• antibody10×
• research8×
• antibodies5×
• experience5×
• programs5×
• selection5×
• data4×
• design4×
• end4×
• engineering4×
• ind-enabling studies4×
• life sciences4×
• therapeutic4×
• assays3×
• biology3×
• ai-designed antibodies2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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