Research Scientist, Life Sciences (Large Molecules, Process Development)

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 · 4

• PhD in biochemical engineering, chemical engineering, biochemistry, or a related field
• Demonstrated experience in process development and manufacturing of antibodies or other recombinant proteins, including material supplied for IND-enabling or clinical studies, with recent, sustained hands-on laboratory work
• 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 biologics process development experience beyond the PhD
• Depth in both upstream (cell line development, bioreactors) and downstream (chromatography, filtration) development, with working knowledge of analytical and formulation development
• Experience setting up a protein production or process development laboratory, including laboratory automation and high-throughput, plate-based expression and purification
• Experience directing technology transfer and GMP manufacturing at contract development and manufacturing organizations, with contributions to the CMC sections of an IND
• Statistics or coding skills, for example design of experiments or Python for data analysis and automation
• Experience using AI or ML tools in the life sciences
• Publications and/or patents demonstrating scientific impact

What the job covers

• Develop and run expression and purification processes for antibodies and other recombinant proteins end to end, including transient and stable expression in mammalian cells (HEK293, CHO), affinity capture (Protein A, IMAC), polishing chromatography, buffer exchange, and formulation
• Characterize what we make with the right analytical panel, for example SEC, CE-SDS, icIEF, LC-MS (intact mass, peptide mapping, glycans), DLS, thermal stability, endotoxin, and binding kinetics (SPR, BLI)
• Build the laboratory for this work, including selecting, installing, and qualifying equipment and setting up workflows that scale from plate-based production of hundreds of designs to gram quantities of a lead
• Evaluate AI-designed antibodies for manufacturability (titer, aggregation, stability under stress, viscosity, chemical liabilities), drive them to experimental readout, and feed results back to research teams
• Plan the chemistry, manufacturing, and controls (CMC) path toward IND-enabling studies, from cell line development and scale-up to analytical methods and stability, and coordinate technology transfer and manufacturing with external contract manufacturers
• Ensure experimental data across programs is high quality and well documented, including batch records, methods, raw data, and failure modes
• Communicate findings clearly to biology, AI research, and life sciences audiences

Degree language

• PhD in biochemical engineering, chemical engineering, biochemistry, or a related field

Tools and skills named

Words the posting leans on

• development9×
• experience6×
• manufacturing6×
• research6×
• data5×
• protein5×
• antibodies4×
• expression4×
• laboratory4×
• life sciences4×
• process development4×
• stability4×
• analytical3×
• hands-on3×
• ai-designed2×
• automation2×

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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