Operations Jobs at Google with Visa Sponsorship

INTRODUCTION

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Seattle, WA, USA; Cambridge, MA, USA; New York, NY, USA.

ABOUT THE JOB

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.

BASIC 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.

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.