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GenMD

Member of Technical Staff Intern, Applied AI

  • Seen live on GenMD's site today
  • Intern / co-op
Pay
$45 to $60 an hour USD
Location
Palo Alto
Open for
1+ days
First seen
Nov 3, 2026
Apply on GenMD's site (opens in a new tab)

Posting record

No flags

Open 1+ days

The posting's record, oldest first
  1. Already up when Ghostless started watching GenMD
  2. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking GenMD, so its true age is longer.

Last checked Nov 4, 2026.

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What the posting discloses

Pay
$45 to $60 an hour USD
$45 – $60 per hour, depending on degree level and experience. (quoted from the posting)

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

About the role

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.

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