Opportunities · Research opportunity
Member of Technical Staff Intern - Applied AI
GenMD
Palo Alto, CA
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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.
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