As a clinical specialist you’ll be an effective and influential contributor to our work - developing intelligent and intuitive tools that help improve health journeys for users. You’ll utilize not only your clinical expertise but also your excellent listening, communication, and leadership skills to appropriately shape the content, design, and execution of products.
Google for 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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $150000 - $218000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Develop and apply methodologies for evaluating AI model performance in mental health safety and quality applications, working closely with product management and engineering counterparts.
- Use clinical and domain expertise to provide clinical leadership, guidance, insights and direction on Google’s mental health-focused AI projects.
- Identify relevant evidence-based practices, related to the mental health and psychological wellbeing of patients and their families, and use these to influence product development.
- Respond to the needs of the business and projects prioritizing effort effectively. This may require leading on certain projects and contributing to others.
Qualifications
Minimum qualifications:
- Doctoral degree in a clinical field (e.g., MD, PsyD, PhD, etc.).
- 3 years of clinical experience (inclusive of training) after the completion of doctoral degree, nursing degree, or equivalent.
- 2 years of experience with evaluation of AI product or digital health product development.
Preferred qualifications:
- 3 years of experience at a digital health company, payer, in health system, or in a healthcare information technology company.
- Experience record taking an AI health product from from concept to real-world implementation.
- Experience working in complex, ambiguous environments with cross-functional product development teams.
- Demonstrated track record of peer-reviewed publications in clinical AI evaluation.
- Demonstrated track record evaluating AI in a health/healthcare setting using mixed quantitative and qualitative methods to evaluate safety, quality, and efficacy.