Forward Deployed Research Scientist, Life Sciences
Company websitegoodfire.com (Goodfire, opens in new tab)
Base salary $220K to $315K
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
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (52 min ago) · observed since
About this job
About Goodfire
Goodfire is an AI interpretability research lab. We build interpretability agents and infrastructure to understand, monitor, and align AI models.
We believe that AI is the most consequential technology of our time. Yet AI models are trained by trial and error today, with limited understanding of what drives their behavior. Our goal is to advance the research and technology needed to fully understand and align AI so humanity can trust superintelligence.
Goodfire is a public benefit corporation founded by researchers who helped pioneer the field of interpretability at OpenAI and Google DeepMind. We are headquartered in San Francisco and have raised over $200M from leading investors including Lightspeed, Menlo, and B Capital.
About the role
Scientific AI models trained to model natural systems are revolutionizing research across scientific domains, including protein interaction prediction, protein design, disease prediction, and materials discovery. We’re looking for a Forward Deployed Research Scientist (Biology) to join our team to work directly with customers to develop new techniques for understanding and designing large biological foundation models. You’ll work closely with a small, mission-driven team of scientists and engineers to conduct novel research, build practical tools, and push the field forward.
Where you might contribute:
- Forward deployed research – lead scientific research with our partners to interpret advanced biological foundation models (genomic foundation models, ViTs, PLMs) to uncover what they’ve learned.
- Project delivery and implementation – own research delivery on high-stakes projects with customers and do whatever it takes to make delivery successful, including: problem and hypothesis definition, data sourcing, tool building, iteration, and implementation. Translate research into tools for real-world applications in precision medicine, digital pathology, drug discovery, and more.
Key Responsibilities:
- Work directly with customers to conduct original research in interpretability and computational biology.
- Prototype techniques to visualize and manipulate internal model structures.
- Collaborate with engineering to turn research into production-ready tools.
- Drive partnership success by collaborating closely with our customers and partners.
- Help define and evolve our research direction.
What you’ll bring
Required experience
- PhD/MD or equivalent experience in biology, with a strong ML background and experience in computational biology or bioinformatics.
- Deep familiarity with large models and a passion for understanding how they work.
- Fluency in Python and ML frameworks such as PyTorch.
- Strong writing and communication skills for explaining complex ideas.
- Drive to move quickly and take ownership.
Preferred qualifications
- Experience leading research in a forward deployed environment and in service of a customer’s requirements.
- Familiarity with interpretability, alignment, or safe model development.
- Experience in startup or fast-paced lab environments.
Our values
Goodfire is looking for individuals who embody our values and share our deep commitment to making interpretability accessible. We are building a team first and foremost.
Put mission and team first
All we do is in service of our mission. We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves.
Improve constantly
We are constantly looking to improve every piece of the business. We proactively critique ourselves and others in a kind and thoughtful way that translates to practical improvements in the organization. We are pragmatic and consistently implement the obvious fixes that work.
Take ownership and initiative
There are no bystanders here. We proactively identify problems and take full responsibility over getting a strong result. We are self-driven, own our mistakes, and feel deep responsibility over what we’re building.
Action today
We have a small amount of time to do something incredibly hard and meaningful. The pace and intensity of the organization is high. If we can take action today or tomorrow, we will choose to do it today.
Where we work
We are hiring for this position in our San Francisco HQ. We are in person 5 days a week, with one company-wide remote week per month.
What we offer
This role offers market competitive salary, equity, and competitive benefits.
The expected salary range for this position is $220,000 - $315,000 USD
Most importantly, you'll have the opportunity to join a vital mission at an important point in its trajectory — we are developing groundbreaking technology with a world-class team on the critical path to ensuring a safe and beneficial future for humanity. If you want to do your life’s work with us, even if you believe you do not meet every single requirement, apply now.
Source: Goodfire on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($220,000) is above 69% of the 1,505 Data & ML roles in California listed on this site; 33 others list the same floor. Their median floor is $189,721; the middle half runs from $160,000 to $229,900.
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 6, 2026.
This listingForward Deployed Research Scientist, Life Sciences$220K to $315K
Forward Deployed Research Scientist$220K to $315K
Product Marketing Lead$200K to $375K
Platform - Member of Technical Staff$200K to $400K
Senior Counsel$200K to $400K
Research Scientist$200K to $400K
Machine Learning Engineer$200K to $400K
Chart as a table
| Role | Published base |
|---|---|
| Forward Deployed Research Scientist, Life Sciences (this listing) | $220K - $315K |
| Forward Deployed Research Scientist | $220K - $315K |
| Product Marketing Lead | $200K - $375K |
| Platform - Member of Technical Staff | $200K - $400K |
| Senior Counsel | $200K - $400K |
| Research Scientist | $200K - $400K |
| Machine Learning Engineer | $200K - $400K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2025-09-16
Where this pay comes from
Location as the employer wrote it: San Francisco, CA
The expected salary range for this position is $220,000 - $315,000 USD
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
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.
