Member of Technical Staff Intern, Applied AI

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.