Staff Research Scientist, Women's Health Sensing

Google Google · Big Tech · Mountain View, CA +1

Research Scientist role focused on developing and leading a health sensing roadmap for women's reproductive health, leveraging Google's hardware products, apps, and third-party integrations. The role involves driving new research ideas from conception through to production, collaborating with cross-functional teams, and publishing findings in top venues.

What you'd actually do

  1. Synthesize the state of the art and current market trends to form an aspirational technical vision for women’s health sensing technologies.
  2. Set a research roadmap that takes into account data acquisition/generation or other dependencies and balances higher-risk exploration with more immediate impact opportunities.
  3. Develop novel approaches that build on sensor foundation models by collaborating and leading a diverse set of researchers and partners across Google.
  4. Work closely with a cross-functional team including product, engineering, UX, and clinical experts to translate research outcomes into deployed solutions.
  5. Publish work in top clinical and machine learning venues, representing Google in the community and advancing the field more broadly.

Skills

Required

  • PhD degree in Computer Science, a related field, or equivalent practical experience.
  • 4 years of experience with research agendas across multiple teams or projects.
  • 3 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  • Experience in one or more of the following: wearable devices, health sensing, or women's reproductive health.
  • One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Nice to have

  • 8 years of experience in developing consumer device sensing technologies.
  • 2 years of experience in coding and leading multiple research efforts and influencing research direction.
  • Experience in applying AI to consumer health applications.
  • Experience in defining and leading innovative technology roadmaps.
  • Experience making scientific contributions (e.g., publications, inventions) in women’s health.

What the JD emphasized

  • women's health sensing technologies
  • women's reproductive health
  • women's health

Other signals

  • Develop novel approaches that build on sensor foundation models
  • translate research outcomes into deployed solutions
  • Publish work in top clinical and machine learning venues