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Director​/Principal Investigator, AI and Genomics

Remote / Online - Candidates ideally in
Salt Lake City, Salt Lake County, Utah, 84193, USA
Listing for: 23andMe, Inc.
Full Time, Remote/Work from Home position
Listed on 2026-10-16
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist
Salary/Wage Range or Industry Benchmark: 250000 - 290000 USD Yearly USD 250000.00 290000.00 YEAR
Job Description & How to Apply Below
## Director / Principal Investigator, AI and Genomics Apply:
Salt Lake City:
Full time:
Posted Yesterday:
2026053

With the world's largest database of more than eleven million genotyped participants, the 23andMe Research Institute is at the forefront of using human genetics to advance biomedical research and transform healthcare. We are seeking a Director-level Principal Investigator to establish and lead our AI innovation efforts, building population-scale foundation models on a data substrate that exists nowhere else.  
** Who We Are
** We are a group of individuals passionate about genetic discovery. 23andMe Research Institute is a nonprofit medical research organization that enables people everywhere to access their genetic information, learn about themselves, and participate in the world's largest crowdsourced research initiative. The Institute aims to be the world's most significant contributor to scientific advancement, uniting people with the common goal of improving health and deepening our understanding of DNA — the code of life.

** What You'll Do
** You will set and own the scientific vision for AI at the 23andMe Research Institute, and be accountable for translating it into research output and external funding. You will build and lead a research group of your own, beginning with two founding scientists recruited under your direction, and grow it in step with the funding you secure.

Your research agenda will span three complementary areas: health-risk prediction, developing foundation models that forecast individual health outcomes from genetic and longitudinal data, building on our existing PRSformer and Next Health Event work; variant-effect prediction, interpreting the functional and clinical consequences of genetic variants including variants of uncertain significance, in preparation for a product line based on whole-genome sequencing.

You will represent the Institute's AI work externally and raise grant, philanthropic, and industry funding to support the group's expansion. We expect and encourage publication at top-tier venues and the open release of methods and models where appropriate.  
** What You'll Bring
** You have deep expertise in machine learning applied to genomics, biomedicine, or a comparably high-dimensional scientific domain, with a significant track record of scientific achievement that includes multiple years of experience leading the development of novel methods and executing independently developed ideas. These achievements should demonstrate your ability to balance scientific rigor with a pragmatic commitment to getting things done in the face of multiple competing priorities.

You will also have a track record of collaboration with scientific thought leaders, and be expected to take an active role in engaging with external academic and industry scientists.  
** Scientific Expertise
*** PhD in Computer Science, Machine Learning, Statistics, Computational Biology, Statistical Genetics, or a related field, with at least ten years of experience post-PhD.
* Strong record of accomplishment through academic publications at leading venues or equivalent industry achievement.
* Deep expertise in modern deep learning architectures, including transformers and large language models, and in training at scale.
* Experience with genomic or biomedical data is strongly preferred; exceptional candidates from adjacent domains with a clear commitment to biomedicine will be considered.
* Experience with distributed training, GPU cluster scaling, and computational efficiency at the frontier of model size.
* Strong programming skills in Python and a modern deep learning framework.  
** Leadership Skills
*** Proven ability to build, mentor, train, and develop teams of scientists.
*…
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