Research Scientist, Life Sciences
About The Position
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. 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
Number of Employees
1,001-5,000 employees
