As a Clinical Research Operations Program Manager, you will independently manage the full lifecycle of cross-functional programs at the intersection of advanced artificial intelligence, consumer technology, and clinical research. You will serve as the connective tissue between the Clinical Health team, product partners and research collaborators to support pioneering studies that drive team-level objectives.
In this role, you will navigate ambiguity to drive project milestones through software and clinical development lifecycles. You are highly collaborative and will align with cross-functional, non-clinical teams, such as engineering, product management, legal, privacy, and regulatory affairs, and coordinate with external clinical trial sites, academic collaborators and agreement research vendors.
You will have a demonstrable background in human subjects research and clinical research operations. Ideally, you will also have experience conducting decentralized clinical research studies involving AI products in use cases.
You will possess an understanding of the scientific underpinnings of human subjects research and practical skills in clinical study design, technical data infrastructure, and human subject research execution. You are passionate about driving execution and grow in a fast-moving environment. You will have a strong interest in artificial intelligence and transforming health through breakthrough technology.
You’ll utilize not only your clinical research expertise but also your excellent listening, communication, organization, technical writing and problem-solving skills to manage and coordinate clinical evidence generation programs. You will implement scalable operational processes that increase research velocity while maintaining data integrity and clinical quality. You will also utilize AI/ML technologies to identify efficiencies and drive continuous improvements across your programs.
Google for 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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $132000 - $190000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Manage the end-to-end execution of clinical trial activities, including protocol development, Institutional Review Board submissions, site initiation/training, and study monitoring which may include some travel (5-10%).
- Coordinate technical readiness for clinical studies, including custom research app deployment, user setup, clinical data management, and protocol compliance.
- Build cross-functional consensus and independently manage dependencies, risks, and mitigation plans across software engineering, product, regulatory, legal, and privacy teams.
- Design and track program operations, utilizing internal dashboards, metrics, and AI/ML productivity tools to drive continuous process improvements.
- Establish scalable operational processes for managing clinical vendors, agreements, and purchase orders.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience in clinical research operations or clinical trial management.
- Experience utilizing program management methodologies to plan, track, and execute project lifecycles.
Preferred qualifications:
- Master’s degree in relevant discipline (e.g., MPH, health sciences, epidemiology) and co-authorship of scientific publications.
- Certified Clinical Research Professional (CCRP) or equivalent, with deep knowledge of ICH-GCP guidelines, FDA/EMA regulations, and data privacy.
- Experience managing decentralized human subject research studies evaluating AI models, digital health products, wearables, or health applications.
- Proficiency in data-driven program management, including utilizing generative AI workflows, SQL, Python, or data dashboards to automate study tracking and drive operational improvement.
- Demonstrated ability to influence without authority and drive alignment across ambiguous cross-functional environments.
- Excellent written and verbal communication skills, with experience translating technical or scientific concepts for clinical and non-clinical stakeholders.