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Clinical Specialist, Lifestyle Medicine

Google
On-site
Mountain View, California, United States
$171,000 - $254,000 USD yearly

Minimum qualifications:

  • Medical degree (MD, DO, MBBS or equivalent).
  • 7 years of experience in consumer-focused digital health research and product development focused on consumer health.
  • 7 years of experience driving projects with cross-functional teams.
  • Specialized training in preventative medicine, lifestyle medicine, functional/integrative medicine, or sports medicine (as demonstrated by completion of accredited residency, fellowship, equivalent certification, or equivalent work experience).

Preferred qualifications:

  • 2 years of practical AI experience in health or healthcare environments and research expertise in generative AI, specifically in developing safety approaches and contributing to peer-reviewed publications.
  • Experience in digital health evaluation and clinical research including designing and conducting real-world evaluations.
  • Experience working in complex, ambiguous environments with cross-functional teams.
  • Ability to take a consumer-focused health or wellness product from concept to market.
  • Excellent communication and people management skills.
  • Recognition as a national or emerging national leader in their specialty and digital health.


About the job

As a Clinical Specialist, you will be an effective and influential contributor to our work developing intelligent and intuitive tools that help improve health journeys for users. You will work cross-functionally, ideally with non-clinical teams such as software design, engineering, product management, regulatory affairs and research teams. You will have a demonstrable background working as a physician in lifestyle medicine with recognized expertise in clinical care, research and digital health. You will focus on consumer focused product development, generative AI and safety, conducting clinical research. You will work as a part of the cross-functional team building personalized AI-powered health and wellness products to help people lead healthier and more active lives. You will use your clinical expertise to guide research and product development for the Fitbit and Pixel portfolio of trackers, smartwatches, and subscription experiences. You will help ensure our approach is grounded in scientific and clinical expertise and creates measurable value for people who want to use our products to help improve their health and well-being.

Google Health is a company-wide effort to help billions of people be healthier. We work toward this goal by meeting people in their everyday moments and empowering them to stay healthy and partnering with care teams to provide more accurate and accessible care. Our teams are applying our expertise and technology to improve health outcomes globally – with high-quality information and tools to help people manage their health and wellbeing, solutions to transform care delivery, research to catalyze the use of artificial intelligence for the screening and diagnosis of disease, and data and insights to the public health community.

The US base salary range for this full-time position is $171,000-$254,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.



Responsibilities

  • Use clinical expertise to provide guidance, insights and direction for Google’s consumer products, particularly Pixel/Fitbit, working very closely with research and product teams.
  • Leverage scientific and clinical expertise in lifestyle medicine to design research studies and product requirements.
  • Identify relevant evidence-based practices and scientific break-throughs to define priorities and new opportunities to help people improve health and well-being using sensors and software.
  • Contribute to the development of generative AI products to enhance access to reliable and credible information.
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