Founding Bioinformatics Scientist Job at Stealth Startup, Palo Alto, CA

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  • Stealth Startup
  • Palo Alto, CA

Job Description

The Opportunity

We're building the data layer that every AI drug discovery will run on.

Backed by an Nvidia VP. Working with top AI labs, global tech company and global pharma. Growing fast.

We need a scientist who can lead — not just do the work.

Role Description 

You'll be the person who brings world-class biological and clinical science to our AI platform.

In this role, you will lead cutting-edge AI research across translational and clinical programs, define what good data looks like for frontier drug development models, and work hand-in-hand with our AI scientists to deliver on global pharma partnerships. You won't just support the science — you'll shape the scientific direction of the company.

Responsibilities

  • Lead cutting-edge AI research on translational and clinical projects — you are the scientific backbone that makes the AI meaningful
  • Drive our frontier AI training efforts for drug development — you define what good biological and clinical data looks like so our models learn from the best
  • Partner with AI scientists to deliver world-class support on global pharma AI projects — you bridge the science and the technology

You

  • PhD in bioinformatics, computational biology, genomics, or a related field
  • 5+ years of experience in pharma or biotech — global pharma experience strongly preferred (Senior to Senior Principal Scientist level)
  • Deep hands-on experience supporting translational or clinical programs — you've worked on programs that reached patients
  • Experience with RWD (real-world data) analysis is a strong plus

Why Join

  • Founding team. Real equity. Real impact.
  • The intersection of AI + drug discovery. The most exciting space.
  • Backed by Nvidia VP. Working with Google, OpenAI, top pharma.
  • Your work will train the AI models that discover the next breakthrough drug.

Apply If

You want to build science and infrastructure that matters.

You want to be early at a company that's going to be big.

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