As a Senior 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 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.
The US base salary range for this full-time position is $150,000-$218,000 + 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
- Develop and apply methodologies for evaluating AI model performance for health 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 health-focused AI projects.
- Identify relevant evidence-based practices related to the health and healthcare of patients and their families and use these to influence product development.
- Respond to the needs of the business and projects, prioritizing effort effectively while leading on certain projects and contributing to others.
Qualifications
Minimum qualifications:
- Doctorate degree in a clinical field (e.g., MD, DO, PharmD, etc.) or equivalent practical experience.
- 3 years of experience with evaluation of AI product or digital health product development.
- 3 years of clinical experience (including training) after the completion of doctoral degree, nursing degree, or equivalent.
Preferred qualifications:
- 3 years of experience at a digital health company, payer, in health system, or in a healthcare information technology company.
- Experience taking an AI health product 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.