Description
Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist with deep expertise in antibody process development and manufacturing to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice.
You'll be an expert in making antibodies, with hands-on experience expressing, purifying, characterizing, and formulating them, from small screening batches to material for IND-enabling studies. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll build and run the workflows that turn AI-designed sequences into well-characterized protein, and pressure-test AI predictions of expression, stability, and manufacturability against real data.
Key Responsibilities:
- Develop and run expression and purification processes for antibodies and other recombinant proteins end to end
- Characterize what we make with the right analytical panel
- Build the laboratory for this work, including selecting, installing, and qualifying equipment and setting up workflows that scale
- Evaluate AI-designed antibodies for manufacturability and drive them to experimental readout
- Plan the chemistry, manufacturing, and controls (CMC) path toward IND-enabling studies
- Ensure experimental data across programs is high quality and well documented
- Communicate findings clearly to biology, AI research, and life sciences audiences
Minimum Qualifications:
- PhD in biochemical engineering, chemical engineering, biochemistry, or a related field
- Demonstrated experience in process development and manufacturing of antibodies or other recombinant proteins
- Comfort navigating ambiguity and defining problems in a rapidly evolving research environment
- Ability to work independently while collaborating effectively across cross-functional teams
Preferred Qualifications:
- 5+ years of biologics process development experience beyond the PhD
- Depth in both upstream and downstream development
- Experience setting up a protein production or process development laboratory
- Experience directing technology transfer and GMP manufacturing at contract development and manufacturing organizations
- 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
The annual compensation range for this role is $300,000-$320,000 USD.