Clinician Specialist, Consumer Health
Job Summary
Job Description
- MD, DO, MBBS or equivalent
- 5+ years in consumer-focused digital health
- 5+ years driving cross-functional projects
- 1+ year AI experience in healthcare
- Specialized training in preventative/lifestyle medicine
- Generative AI research experience
- Digital health evaluation and clinical research experience
- Experience taking health products from concept to market
- National leadership recognition in specialty and digital health
- Bonus
- Equity
- Benefits
2 skills required
Job Details
Minimum qualifications:
- Medical degree (MD, DO, MBBS or equivalent).
- 5 years of experience in consumer-focused digital health product development focused on consumer health, consulting, or public health.
- 5 years of experience driving projects with cross-functional teams.
- 1 year of experience with AI in a health/healthcare setting.
- 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:
- Experience with research in generative AI, including safety approaches and peer-reviewed publications.
- Experience in digital health evaluation and clinical research, including designing and conducting real-world evaluations.
- Demonstrated track record of taking a consumer focused health or wellness product from concept to market.
- Recognition as a national or emerging national leader in their specialty and digital health.
About the job
As a Clinician Specialist, you’ll be an effective and influential contributor to our work, developing intelligent and intuitive tools that help improve health journeys for users.
In this role, you will work with the YouTube Health team to increase the supply of high quality and engaging health information on the YouTube platform. You will work collaboratively to help the team build deep relationships with trusted health ecosystem partners including organizations and creators to bring more engaging, credible health content on the platform and to create and innovate new ways of sharing health information like on YouTube. In addition, as a member of the broader Google Health team, you will be at the forefront of collaborating with internal Research, Product, and Engineering teams to build novel AI powered products and features to help Google and its partners and customers improve consumer health.
Google Health is a company-wide effort to help billions of people be healthier. We work toward this vision 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 $146,000-$214,000 + 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 .
Responsibilities
- Use clinical expertise to provide guidance, insights and direction for Google’s consumer products, particularly YouTube, working very closely with product, policy, and partnership teams.
- Understand the complex health and healthcare environment and ecosystem, and translate this understanding into partnership relationships, content strategy, policy recommendations, and product requirements.
- Identify relevant evidence-based practice and use this to influence partnership strategy, content, policy, and product development.
- Contribute to the development of generative AI products to enhance access to reliable and credible information.
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