# Research Scientist, Life Sciences (Experimental Biology)

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $300,000-$320,000 USD
**Category**: Life Sciences
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5285250008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a02b6fdd-fd3

## Description

Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery.

We're seeking an exceptional Research Scientist to join the team. As a founding member of Life Sciences, you'll work in a high-impact group 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.

Key responsibilities:

- Design, execute, and iterate on experimental programs in molecular biology, biochemistry, protein and nucleic acid characterization, high-throughput functional screens, and assay development.

- Partner with computational biologists to design experiments producing high-quality data and feed results back to inform the next round of analysis.

- Generate and prioritize hypotheses by combining experimental judgment with literature, curated biological knowledge bases, and computational predictions.

- Use Claude and internal agent frameworks for experimental planning, protocol development, and data interpretation, and feed learnings back to model-improvement and product teams.

Minimum qualifications:

- Ph.D. in a biological science (molecular biology, biochemistry, bioengineering, computational biology) or a related field.

- Track record of bridging biological domain knowledge with computational approaches to solve real scientific problems.

- Basic proficiency in Python and familiarity with ML development practices.

Preferred qualifications:

- Comfortable navigating ambiguity and developing solutions in rapidly evolving research environments.

- Ability to work independently while maintaining strong collaboration with cross-functional teams.

- Results-oriented with a bias towards flexibility and impact.

- 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.

The annual compensation range for this role is $300,000-$320,000 USD.

## Skills

### Required
- Python
- ML development practices
- molecular biology
- biochemistry
- bioengineering
- computational biology

### Nice to have
- scientific AI applications
- modern machine learning techniques
- model training methodologies
- biological databases
- computational biology tools

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5285250008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)