Research Engineer, Life Sciences
Anthropic · San Francisco, CA · AI Research & Engineering · listed July 3, 2026
The shape of it
Seniority
Senior
Experience asked
8+ years
Where
Hybrid
Stated pay
$350,000 – $500,000 USD
Requirements listed
5
Length
928 words
In the posting’s own words
We're seeking an exceptional Research Engineer to join our Life Sciences team at Anthropic. Our team is organized around the north star goal of accelerating progress in the life sciences, from early discovery through translation, by an order of magnitude. Our team likes to think across the whole model stack. In this role, you'll combine your deep expertise in machine learning engineering to develop novel evaluation frameworks and training strategies that push the frontier of what AI can achieve in biology.
What it asks for · 5
- Demonstrated experience training and evaluating large language models
- Proficiency in Python and familiarity with modern ML development practices
- Experience building and managing data pipelines for large-scale datasets
- Comfortable navigating ambiguity and developing solutions in rapidly evolving research environments
- Strong written and verbal communication skills, with the ability to work independently while collaborating effectively across cross-functional teams
Also a plus
- 8+ years of machine learning experience
- Prior work experience in AI and biology, including graduate studies (molecular biology, biochemistry, computational biology, or related fields)
- Experience working with large-scale biological datasets
- Published research or practical experience in scientific AI applications or long-horizon reasoning
- Background in reinforcement learning and/or pretraining
- Knowledge of containerization technologies (e.g., Docker, Kubernetes) and cloud deployment at scale
- Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing
- Contributions to open-source scientific software or databases
Tools and skills named
Models & research
- Machine learning3×
- LLM
- Reinforcement learning
Cloud & infra
- Docker
- Kubernetes
Data
- Data pipelines
Languages
- Python
Ways of working
- Cross-functional
Words the posting leans on
- experience7×
- biology4×
- research4×
- scientific4×
- life sciences3×
- model3×
- biological2×
- datasets2×
- demonstrated2×
- developing2×
- development2×
- engineer2×
- engineering2×
- language2×
- large-scale2×
- machine learning2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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