Scientist, Biology
Company websitemedra.ai (Medra, opens in new tab)
Base salary $140K to $175K
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 (3 h ago) · observed since
About this job
What We’re Building:
At Medra, our mission is to use AI, robotics, and biology to accelerate life science research, with the ultimate goal of eradicating disease. We have been quietly building the foundational layers of our Physical AI Scientist platform:
🤖 Physical AI that can operate scientific instruments with human-level dexterity.
🧪 Scientific AI that can analyze results, reason about next steps, and close the loop autonomously.
This is an incredibly ambitious mission, but we believe that a team of ambitious people with high ownership can accomplish incredible things.
The Team:
• We're a team of passionate, mission-driven engineers and scientists from companies like Tesla, Amazon, SpaceX, and Neuralink. We're collaborative and love moving fast, both with our product and on team trips skiing or go-karting!
• As a team, we love nerding out about engineering and robotics — plus other topics like race cars or cooking. We like learning new things and then sharing our new knowledge with each other.
• Our team is opinionated and straightforward. We don't mind intense discussions about design tradeoffs. If we have arguments or miscommunication, we resolve conflicts quickly and empathetically.
The Role:
As a scientist on our forward-deployed team, your objective is to embed yourself with your scientific counterparts at the customer, acting as a true partner on their team to ensure that the Medra platform is achieving scientific outcomes and driving value for the organization. You will become an expert in our customer’s science, deeply understanding their scientific requirements and applying the scientific method (hypothesis, design, experimentation, analysis) to test and validate the fidelity of our Physical AI Scientist platform for their workflows. You will be in close communication with our end users (scientists) and have your eyes and ears on the ground to help us get ahead of any issues, while taking any insights and learnings from the customer back to the company to guide improvements to our product.
Internally, you will partner closely with the engagement manager and forward-deployed engineers to drive a successful deployment. You will work alongside an elite team of robotics, software, and hardware engineers to provide scientific oversight during scoping, build, and deployment. You will be a platform super-user who understands the strengths and limitations of our platform, and can apply creativity (& scientific intuition) to solve challenging problems.
We’re looking for someone who acts with urgency and thrives under pressure. This is a unique opportunity to use your skillset to what will be a step-change in drug discovery through artificial intelligence and robotics, and will offer significantly more exposure than working in a traditional biotech or pharma role.
In This Role, You Will:
Be the scientific subject matter expert - understand customer requirements and provide biological context to guide scoping, product development, and capability prioritization.
Design & execute wet-lab experiments to validate Medra’s autonomous Physical AI against scientific KPIs/metrics
Deploy on-site to our customer’s labs - embed with their scientists to validate the science, conduct hands-on training on the robot & instruments, and provide ongoing support as they ramp up usage
Own the installation, QC, and troubleshooting/error-handing for all laboratory instruments on the Physical AI platform
Support internal R&D on new protocols and assays, and explore emerging technologies & techniques
Keep detailed experimental records and documentation (SOPs) for all workflows
Communicate results clearly, succinctly, and on-time
Let’s Talk If You Have:
Master's degree + 3 years of experience OR PhD in biological sciences or related field
Deep scientific expertise as evidenced by a track record of top-tier publications / presentations
Excellent interpersonal skills and a demonstrated ability to collaborate effectively within a team.
Innate curiosity about science and technology
(OPTIONAL) Bonus Points If You Have:
Expertise in adapting scientific workflows for execution with robotics and automation equipment / instrumentation
Hands-on experience with emerging AI/ML tools and technologies
Familiarity with enterprise software platforms and integrations with lab systems (ELN, LIMS, etc.).
Experience in dynamic, start-up environments.
What we offer:
An opportunity to fundamentally change the way that scientific research happens
Fast-paced, creative, and collaborative work environment
Significant equity ownership
401k
Medical insurance and dental Insurance
Unlimited PTO
Weekday lunches and dinners
This position is 100% in-person, you must be able to come on-site to our San Francisco office. We offer relocation benefits for applicants who need to relocate. Travel is required, up to 25-50%.
Medra is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies. We value diversity at Medra and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!
Source: Medra on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($140,000) is above 44% of the 320 Science & Research roles in California listed on this site; 6 others list the same floor. Their median floor is $143,200; the middle half runs from $120,000 to $172,100.
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 7, 2026.
This listingScientist, Biology$140K to $175K
Scientist, Cell Biology & Antibody Engineering$140K to $175K
Engagement Manager$140K to $215K
Scientist, Biophysical Characterization (SPR/BLI)$140K to $175K
Forward Deployed Robotics Engineer$130K to $210K
Research Engineer, Post-training$170K to $350K
Full Stack Software Engineer$170K to $210K
Chart as a table
| Role | Published base |
|---|---|
| Scientist, Biology (this listing) | $140K - $175K |
| Scientist, Cell Biology & Antibody Engineering | $140K - $175K |
| Engagement Manager | $140K - $215K |
| Scientist, Biophysical Characterization (SPR/BLI) | $140K - $175K |
| Forward Deployed Robotics Engineer | $130K - $210K |
| Research Engineer, Post-training | $170K - $350K |
| Full Stack Software Engineer | $170K - $210K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-06
Where this pay comes from
Location as the employer wrote it: San Francisco
USD 140,000 – 175,000 · 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.
