Member of Clinical Staff
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Before you apply
SalaryNo pay range posted
LocationSan Francisco
Work modeon-site
Typefull-time
SenioritySenior
Experience2+ yrs
DepartmentClinical
EquityIncluded
Company size7+ people
PostedJul 20, 2026 · 3mo ago
Verified live13h ago
At a glanceSummarised by Seekless from the posting.
Must have one of the following medical degrees: MD, DO, MBBS, NP, or PA
2+ years of experience working in a real clinical environment
Serious work in the human data space at a frontier AI lab or human data company (e.g., Scale AI, Surge AI, Mercor, Handshake AI, Turing) - designing evals, writing rubrics, leading teams, or owning data
Built RL environments, evals, or graders yourself
Understand how data quality shapes model training (preference data, rubric design, rater agreement)
Understand healthcare data standards (EHR data structures, interoperability, HIPAA considerations)
Comfortable working in Python (read/modify environment and grader code, write scripts, dig into model outputs)
Work in Git alongside engineers (branches, PRs, code review)
JavaScript/TypeScript, CI/CD, or AWS experience
Experience shipping production software or digital health products
Experience with clinical workflow analysis or quality improvement initiatives
Skills
Python
Git
JavaScript
TypeScript
CI/CD
AWS
Benefits
Unlimited PTO
Health insurance
Dental coverage
Vision coverage
401(k)
Equity
About the company
Kinetic Systems is a healthcare AI research lab. We partner with frontier labs and healthcare organizations to help make AI models safer and more reliable.
We spun out of the Stanford PhD program in 2025 and are backed by General Catalyst, Conviction, and other great investors.
The Role
As a Member of Clinical Staff, you’ll help drive our research agenda towards advancing AI model capabilities on real-world healthcare tasks. You will build reinforcement learning environments, novel datasets and benchmarks, publish academic papers, and post-train models to push the SOTA while staying grounded in the demonstrated needs of our healthcare partners.
The clinical judgment you encode into our data decides whether a model gets a real clinical workflow right, or gets it confidently wrong.
Note: This is a full-time role, required to be in-person in SF.
What You’ll Do
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Design and build RL environments that capture real clinical work
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Find where frontier models fall short on real clinical workflows, and turn those gaps into environments, evals, and benchmarks
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Stress-test your own environments, hunting for shortcuts and reward hacks before a model finds them
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Write the rubrics and guidelines that capture expert clinical judgment, especially where the right answer is subjective or high-stakes
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Build gold-standard datasets, pilot new tasks yourself, and set the quality bar our clinician network works to
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Lead calibration with clinician raters and adjudicate the hardest cases
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Work with our ML team to turn training and evaluation needs into high-quality clinical data
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Write and publish papers in academic conferences
Who You Are
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HARD REQUIREMENT: Must have one of the following medical degrees: MD, DO, MBBS, NP, or PA
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2+ years of experience working in a real clinical environment
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You’ve done serious work in the human data space, at a frontier AI lab or a human data company (e.g., Scale AI, Surge AI, Mercor, Handshake AI, Turing). Not just completing tasks: you’ve designed evals, written the rubrics others worked from, led teams of clinical experts, or owned data that a frontier lab trained or evaluated on
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You’ve built RL environments, evals, or graders yourself, not just read about them
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You understand how data quality shapes model training, including preference data, rubric design, and rater agreement
•
You understand healthcare data standards (e.g., EHR data structures, interoperability, HIPAA considerations)
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You’re comfortable working in Python: you can read and modify environment and grader code, write scripts to build and analyze datasets, and dig into model outputs yourself. AI coding tools are welcome; you understand the code they produce well enough to debug and defend it
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You work in Git alongside engineers (branches, PRs, code review)
NICE TO HAVE
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JavaScript/TypeScript, CI/CD, or AWS experience
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Experience shipping production software or digital health products
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Experience with clinical workflow analysis or quality improvement initiatives
Why Us
If you join our team, you will be joining a team with…
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Founding-level impact and ownership
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An opportunity to advance AI research in one of its most meaningful application areas
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Competitive compensation and meaningful equity
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Unlimited PTO
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Comprehensive health, dental, and vision coverage
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401(k)
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Free lunch + dinner