
Research Scientist, Life Sciences (Computational)
About this role
Role Overview
The Research Scientist, Life Sciences (Computational) role at Anthropic in San Francisco is an exciting opportunity for a quantitative expert to drive AI-accelerated biological discovery. This position suits an experienced computational biologist eager to merge frontier artificial intelligence capabilities with hands-on biological research in a collaborative team setting.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Anthropic is a public benefit corporation headquartered in San Francisco with a mission to build reliable, interpretable, and steerable AI systems that remain safe and beneficial for society. Operating as a cohesive team focused on large-scale research efforts, Anthropic approaches AI research as an empirical science closely tied to physics and biology. The organization maintains a location-based hybrid policy requiring staff to be in the office at least 25% of the time.
How to Apply
Interested candidates should visit the official Anthropic careers page to submit an application for this position.
Questions candidates ask
What is the salary for the Research Scientist role?
The annual base salary for this position ranges from $300,000 to $320,000 USD.
Where is this job located?
This role is located in San Francisco, CA, with a location-based hybrid policy requiring staff to work from the office at least 25% of the time.
What qualifications are required for education?
Candidates must have a PhD in computational biology, bioinformatics, genomics, biophysics, machine learning, computer science, or a related quantitative or biological field, or equivalent industry research experience.
Does Anthropic offer visa sponsorship for this position?
Yes, Anthropic sponsors visas and retains an immigration lawyer to assist candidates who receive an offer.
What tools will I use in this role?
You will heavily use Claude and internal agent frameworks alongside standard scientific programming languages, Linux, and cloud compute environments.