Anthropic · 1 week ago
Research Engineer / Research Scientist, Biology & Life Sciences
San Francisco, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$315K/yr - $340K/yr
8+ years expAnthropic is a public benefit corporation focused on creating reliable and beneficial AI systems. They are seeking a Research Engineer / Research Scientist to join their Life Science team, where the role involves combining expertise in biology with machine learning to develop evaluation frameworks and training strategies that enhance AI's capabilities in biological research.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
Responsibilities
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
Collaborate with domain experts and partners to establish benchmarks and gather high-quality data
Translate between biological domain knowledge and machine learning objectives
Qualification
Required
8+ years of machine learning experience, with demonstrated ability to train and evaluate large language models
5+ years of hands-on experience in life sciences R&D, with deep expertise in areas such as molecular biology, drug discovery, or computational biology
A track record of bridging biological domain knowledge with computational approaches to solve real scientific problems
Proficient in Python and familiar with modern ML development practices
Comfortable navigating ambiguity and developing solutions in rapidly evolving research environments
Can work independently while maintaining strong collaboration with cross-functional teams
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
Passionate about using AI to accelerate scientific discovery while maintaining high ethical standards
Experience managing data pipelines and working with large-scale biological datasets
Preferred
Ph.D. in a biological science (molecular biology, biochemistry, computational biology), in Machine Learning, or in a related field, or equivalent industry experience
Published research or practical experience in scientific AI applications or long-horizon reasoning
A history working on Reinforcement Learning and/or Pretraining
Knowledge of containerization technologies (Docker, Kubernetes) and cloud deployment at scale
Demonstrated ability to work across multiple domains (language modeling, systems engineering, scientific computing)
Experience with modern machine learning techniques and model training methodologies
Familiarity with biological databases (UniProt, GenBank, PDB) and computational biology tools
Experience in drug discovery, including computational chemistry or structure-based design
Knowledge of regulatory requirements for therapeutic development or clinical research
Contributions to open-source scientific software or databases
Benefits
Equity
Benefits
Incentive compensation
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
Company
Anthropic
Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values.
501-1000 employees
H1B Sponsorship
Anthropic has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (105)
2024 (13)
2023 (3)
2022 (4)
2021 (1)
Funding
Current Stage
Late StageTotal Funding
$33.74BKey Investors
Lightspeed Venture PartnersGoogleAmazon
2025-09-02Series F· $13B
2025-05-16Debt Financing· $2.5B
2025-03-03Series E· $3.5B
Leadership Team
Dario Amodei
CEO & Co-Founder
Daniela Amodei
President and co-founder
Recent News
2026-01-11
Insurance giant Allianz signs Claude Code deal with Anthropic | CIO
2026-01-11
Company data provided by crunchbase