Anthropic · San Francisco · Hybrid
Research Scientist, Life Sciences
11/26/2025
Description
We're seeking an exceptional Research Scientist to join our pioneering Life Sciences team at Anthropic. Our team is building a world-class research group focused on making fundamental biological discoveries. This role combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery.
As a founding member of Life Sciences, you'll work in a high-impact team 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.
Responsibilities:
- Implement a scientific research program that may include both wet-lab and computational components
- Design and implement evaluation methodologies for assessing AI model capabilities relevant to biological research and applications
- Develop and execute strategies to systematically improve model performance on scientific tasks
- Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery
- Translate between biological domain knowledge and machine learning objectives
Qualifications
- Have at least 8 years of hands-on experience in life sciences R&D, with deep expertise in areas such as molecular biology, drug discovery, or computational biology
- Have a track record of bridging biological domain knowledge with computational approaches to solve real scientific problems
- Basic proficiency in Python and 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
- Are passionate about using AI to accelerate scientific discovery while maintaining high ethical standards
- Ph.D. in a biological science (molecular biology, biochemistry, bioengineering, computational biology), or in a related field, or equivalent industry experience
- 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
Benefits
$300,000 - $320,000 USD