Research Scientist, Life Sciences
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
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
Benefits
- competitive compensation and benefits
- optional equity donation matching
- generous vacation and parental leave
- flexible working hours
- a lovely office space in which to collaborate with colleagues
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Publishing Industries
Number of Employees
1,001-5,000 employees
