Research Scientist, Life Sciences (Experimental Biology)

Anthropic; San Francisco (CA); On-site; USD 300,000 - 320,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation and parental leave

Flexible working hours

Job summary

Anthropic is seeking an exceptional Research Scientist to join its Life Sciences team in San Francisco. As a founding member of Life Sciences, you will work at the intersection of computational and experimental biology, helping establish Anthropic as a leader in biology research while developing product intuition through direct engagement with lab challenges.

Responsibilities include designing and iterating experimental programs, collaborating with computational biologists, generating hypotheses

Qualifications

• Ph.D. in a biological science.

Responsibilities

• Design, execute, and iterate experimental programs in molecular biology, biochemistry, protein and nucleic acid characterization, high-throughput screens, and assay development.
• Partner with computational biologists to design experiments that produce high-quality, analysis-ready data.
• Generate and prioritize hypotheses by combining experimental judgment with literature and computational predictions.
• Use Claude and internal agent frameworks for planning, protocol development, and data interpretation.

Skills

Ph.D. in biology

Python

ML basics

Education

Bachelor’s degree

Tools

UniProt

GenBank

PDB

Job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About The Team

Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands‑on biological research, positioning Anthropic at the forefront of AI‑accelerated scientific discovery.

About The Role

We're seeking an exceptional Research Scientist to join the team. As a founding member of Life Sciences, you'll work in a high‑impact group that operates at the intersection of computational and experimental biology. You'll help establish Anthropic as a leader in biology research while developing product intuition through direct engagement with the challenges and opportunities of laboratory science.

Key responsibilities

• Design, execute, and iterate on the experimental programs at the core of the team's research: molecular biology, biochemistry, protein and nucleic acid characterization, high‑throughput functional screens, and the assay development that makes new questions answerable
• Partner directly with computational biologists to design experiments that produce high‑quality, analysis‑ready data, and feed results back fast enough to immediately inform the next round of analysis
• Generate and prioritize hypotheses by combining your experimental judgment with the literature, curated biological knowledge bases, and the team's computational predictions
• Use Claude and our internal agent frameworks heavily in your own work — for experimental planning, protocol development, and data interpretation — and feed what you learn back to the model‑improvement and product teams as evaluations, datasets, and concrete failure cases

Minimum Qualifications

• Have a Ph.D. in a biological science (molecular biology, biochemistry, bioengineering, computational biology) or a related field
• Have a track record of bridging biological domain knowledge with computational approaches to solve real scientific problems
• Have basic proficiency in Python and are familiar with ML development practices

Preferred Qualifications

• Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments
• Can work independently while maintaining strong collaboration with cross‑functional teams
• Are results‑oriented, with a bias towards flexibility and impact
• Thrive in a fast‑paced research environment where you balance rigorous scientific standards with rapid iteration
• Published research or practical experience in scientific AI applications
• Familiarity with modern machine learning techniques and model training methodologies
• Familiarity with biological databases (UniProt, GenBank, PDB) and computational biology tools

Annual Salary

$300,000—$320,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location‑based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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.

How We're Different

We believe that the highest‑impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large‑scale research efforts. And we value impact — advancing our long‑term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest‑impact work at any given time. As such, we greatly value communication skills.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.