Clinical Specialist, AI Research in Health

Google Inc.; Mountain View (CA); On-site; USD 125,000 - 150,000; Full time

Job summary

A leading technology company is seeking a Clinical Specialist in AI Research to develop and support research programs focused on health. You will provide clinical leadership and collaborate with cross-functional teams to shape research programs effectively. Candidates should have a doctorate in a clinical field and experience in health-related generative AI research, as well as excellent communication and leadership skills.

Qualifications

• 5 years of clinical experience with training.
• 5 years of experience designing and leading research programs in the AI for health space.
• 2 years of experience in health-related generative AI research.

Responsibilities

• Provide strategic clinical leadership on AI research projects.
• Identify clinical guidelines to influence research and product development.
• Work cross-functionally with non-clinical teams.

Skills

Clinical expertise in AI for health

Excellent listening skills

Communication skills

Leadership skills

Education

Doctorate degree in a clinical field

Job description

Clinical Specialist, AI Research in Health

Clinical Specialist, AI Research in Health at Google in Mountain View, CA, USA

Job Summary:

As a Clinical Scientist, you will be an effective and influential contributor to our work, developing and supporting research programs in the AI for the health space. You will utilize not only your clinical expertise and knowledge of the research development life cycle including moving from research into product but also your excellent listening, communication, and leadership skills to appropriately shape the content, design, evaluation and scaled implementation of research programs.

In this role, you will use your experience in health AI research and development and work cross-functionally with non-clinical teams including Engineering, Product Management, UX/UXR, Legal and regulatory affairs.

Responsibilities

• Use your AI and research expertise to provide strategic clinical leadership to teams across Google, contributing both to overarching strategic direction as well as to individual product and research roadmaps.
• Use clinical and domain expertise to provide clinical leadership, guidance, insights and direction on Google’s health-focused AI research projects, work on an embedded model with research, engineering, UX/UXR, product and partnerships teams.
• Identify relevant clinical guidelines, evidence-based practices, and use cases related to the development and evaluation of AI models and use these to influence research and product development.
• Respond to the needs of the business and projects prioritizing effort effectively, and work in a portfolio environment to bring your expertise to a range of endeavors.

Qualifications

• Doctorate degree in a clinical field (e.g., MD, DO, PharmD, etc.) or equivalent practical experience.
• 5 years of clinical experience with training.
• 5 years of experience designing and leading research programs in the AI for health space, with 2 years of experience in health-related generative AI research.
• Experience in the provision of patient care.

Preferred Qualifications

• Experience working in complex, dynamic, ambiguous environments with cross-functional product development teams.
• Experience working with AI and health in the private sector.
• Experience with advanced training in a medical speciality.
• Experience working with partners, including C-suite leaders, Key Opinion Formers (KOF) and policy makers, or communicating with external audiences.
• Ability to lead within your ecosystem, and to successfully bring health technology to the front line.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.