Member of Platform Science (Research Scientist, In-vivo)
Company websiteanthrogen.com (Anthrogen, opens in new tab)
Base salary $150K to $380K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (52 min ago) · observed since
About this job
About Anthrogen
Anthrogen is engineering post-modality biology. Today's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines and the experimental infrastructure to instantiate them. We're a small, high-density team in San Francisco building frontier AI and the biological systems to validate it, and we care most about people who move fast, go deep, and pick up whatever the problem needs.
The role
A molecule can work in a dish and fail in a living system for an entirely different reason. It may not reach the tissue, persist long enough, or act in the biological context we expected. We want a scientist who can distinguish those explanations and design the experiment that tells us what to do next.
You'll own in-vivo research for our designed biological systems, from selecting appropriate models to interpreting exposure, activity, and tolerability together. This is a hands-on scientific role, not just study coordination. You'll work with the rest of Platform and our ML researchers to make the results useful for design, including when a study does not support the original hypothesis.
What you'll do
Define the question each study needs to answer, choose an appropriate model, and establish endpoints and an analysis plan before execution.
Design and execute studies with internal colleagues and external partners as appropriate, maintaining ownership of experimental quality and interpretation.
Connect exposure and tissue distribution to target engagement and functional outcomes, rather than evaluating efficacy in isolation.
Investigate differences between in-vitro and in-vivo behavior and translate them into testable changes to the molecule or experimental approach.
Build reproducible workflows for sample collection, downstream measurements, and analysis, in coordination with the scientists running those assays.
Plan and conduct work within approved animal-care protocols, with appropriate oversight, humane endpoints, and careful use of animals.
Who you are
You have independently driven rigorous in-vivo research and can defend the model selection, controls, analysis, and conclusions, not just describe the procedures you performed.
You bring deep hands-on experience in a relevant model system and understand both its practical limitations and what it can tell us about human biology.
You can reason about pharmacokinetics, pharmacodynamics, and biological mechanism together, and distinguish insufficient exposure from lack of activity.
You take experimental design seriously: randomization, blinding where feasible, justified sample sizes, and explicit handling of variability.
You combine scientific independence with meticulous execution, documentation, and a strong commitment to animal welfare. Moving quickly does not mean relaxing those standards.
Bonus points
Experience evaluating engineered proteins or protein-based systems in vivo.
Depth in oncology, immunology, or another disease area relevant to engineered biological interventions.
Experience developing translational biomarkers or connecting tissue-level measurements to a proposed mechanism of action.
Strong quantitative analysis skills and experience working productively with external research partners.
Logistics
Full-time, onsite in San Francisco.
Equity: 0.05-0.5%.
Source: Anthrogen on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($150,000) is above 18% of the 1,729 Data & ML roles in California listed on this site; 63 others list the same floor. Their median floor is $184,000; the middle half runs from $154,000 to $224,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingMember of Platform Science (Research Scientist, In-vivo)$150K to $380K
Member of Technical Staff (Research Engineer)$150K to $380K
Member of Platform Science (Research Scientist)$150K to $380K
Member of Technical Staff (Research Scientist)$150K to $380K
Founding Operator$100K to $200K
Research Associate (RL Environments)$100K to $150K
Research Associate (Biology)$100K to $150K
Chart as a table
| Role | Published base |
|---|---|
| Member of Platform Science (Research Scientist, In-vivo) (this listing) | $150K - $380K |
| Member of Technical Staff (Research Engineer) | $150K - $380K |
| Member of Platform Science (Research Scientist) | $150K - $380K |
| Member of Technical Staff (Research Scientist) | $150K - $380K |
| Founding Operator | $100K - $200K |
| Research Associate (RL Environments) | $100K - $150K |
| Research Associate (Biology) | $100K - $150K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-09-13
Where this pay comes from
Location as the employer wrote it: San Francisco
USD 150,000 – 380,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
