Member of Technical Staff, Science
Required skills
- AI
- biology
- benchmarks
- drug discovery
- biosecurity
- scientific team
- AI tools
- scientists
- founder-type role
- technical projects
Nice to have
- math
- CS
- interpretability
Role summary
This role focuses on advancing AI's application in biology for research, drug discovery, and biosecurity. The Member of Technical Staff will translate biological domain expertise into benchmark roadmaps, design them with engineers, and build/manage a scientific team. Candidates should have deep scientific expertise with AI tools or strong math/CS coursework with experience working with scientists. This is a high-intensity, founder-type role requiring in-person work in San Francisco.
Our mission is to advance humanity's ability to engineer biology. We approach this by understanding and improving AI’s application to biology across basic research, drug discovery, and biosecurity. We are a team of engineers, scientists, and operations specialists who are driven by improving capabilities and interpretability. Some of our work is showcased on benchmarks.bio.
About this role. You’ll turn your understanding of a biological domain into a roadmap of benchmarks and design them with engineers. You’ll then build and manage your own scientific team through your network and internal talent infrastructure.
You have (1) deep scientific expertise and experience using AI tools or (2) rigorous coursework in math/CS with experience working with scientists.
This is a high-intensity, founder-type role. Our Members of Technical Staff have built companies, run drug programs and scaled complex technical projects.
How we work. Our MTS team works in person five days a week in Mission Bay, San Francisco. We keep meetings to a minimum and are flexible about when you arrive or leave. Tight deadlines and customer commitments sometimes require late hours.
Our work in use. Frontier AI labs use our benchmarks to assess biological capabilities and safeguards. Our work appears in research announcements and model cards, including:
Anthropic: Claude Fable 5.1 and Mythos 5.1 system card
Anthropic: Claude Opus 5.5 system card
Anthropic: Advancing Claude in healthcare and life sciences
xAI: Grok 4.7 model card
xAI: Biosecurity at the frontier
Hiring Process.
Our process is typically completed within two weeks.
Round 1: Introduction
Round 2: Technical project matching
Round 3: Take-home evaluation project (~2 hours)
Round 4: Technical interview / live engineering session (1 hour)
Round 5: Paid onsite project and presentation (2–3 days)
Offer
Compensation & Benefits
350K-500K+ OTE
Equity
Unlimited PTO
Health, dental and vision insurance fully covered
Visa sponsorship and relocation assistance
401(k)
Office in Mission Bay, San Francisco
Lunch and dinner provided
