Research Scientist, Life Sciences (Experimental Biology)

Anthropics 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.

Anthropics 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.

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

• Design execute and iterate on the experimental programs at the core of the teams 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 teams 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

• 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

• 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

This role offers a unique opportunity to shape how AI transforms biological research. Youll work with some of the worlds best AI researchers while tackling problems that matter deeply for human health and scientific understanding. If youre excited about using your expertise to make fundamental biological discoveries and guide the development of transformative AI systems we want to hear from you.

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

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. Were 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.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

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 aboutour policy for using AI in our application process.