About GenMD
GenMD is a Stanford spin-off building AI and data infrastructure for healthcare. We grew out of years of work inside Stanford Medicine, alongside world-class researchers and clinicians, and we now work with health systems and data partners on large longitudinal datasets: claims, health records, imaging and clinical notes. We make that data usable for researchers and frontier AI, while patient privacy stays protected.
We're just coming out of stealth, already revenue-generating and well funded. We're intentionally small, move fast, and are focused on building something fundamental. Our CEO is a former Associate Director of AI at Stanford Medicine. See how we work: https://genmd.ai/careers
About the role
You'll work on real problems from your first week: the AI and data systems behind Healthcare Datahub and our work with frontier AI teams. You'll have a named mentor, and you'll own projects end to end, from scoping to shipped.
What you'll work on
Prototype and ship LLM features for Mira, our AI research assistant: dataset matching, cohort exploration and code generation.
Build data pipelines that turn raw healthcare datasets into documented, searchable, analysis-ready products.
Run experiments and evaluations, and present what you find at our Friday showcase.
What we're looking for
Currently pursuing a B.S., M.S. or Ph.D. in CS, AI/ML, data science, biomedical informatics or a related field.
Strong Python; experience with LLM APIs, PyTorch or Hugging Face.
Comfortable with SQL and messy real-world data.
Curious and self-directed; you'd rather ship something and learn than wait for a perfect spec.
Logistics
Spring, summer and fall terms; start dates are flexible.
Compensation
$45 – $60 per hour, depending on degree level and experience.
Summary
Prototype and ship LLM features for an AI research assistant, build data pipelines from raw healthcare datasets, and run experiments and evaluations. Requires current pursuit of a B.S., M.S., or Ph.D. in CS, AI/ML, data science, or biomedical informatics, strong Python, and comfort with SQL and messy real-world data.
Responsibilities
Prototype and ship LLM features for Mira; build data pipelines from raw healthcare datasets; run experiments and evaluations; present findings at Friday showcase.
Qualifications
Currently pursuing a B.S., M.S. or Ph.D. in CS, AI/ML, data science, biomedical informatics or a related field; strong Python; experience with LLM APIs, PyTorch or Hugging Face; comfortable with SQL and messy real-world data; curious and self-directed.
Education requirements
B.S., M.S. or Ph.D. in CS, AI/ML, data science, biomedical informatics or a related field.
Experience requirements
Experience with LLM APIs, PyTorch or Hugging Face; comfortable with SQL and messy real-world data.