Who We Are
Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.
Description
Data collected passively from wearable devices or smart sensors provide crucial insight into the day-to-day, real-world physiological and behavioral aspects of health. As a Data Scientist on our Digital Measures team, you will develop methods and research to bridge densely collected digital measures of health to multimodal AI systems through context and insight summarization.
In this role, you will design novel algorithms, conduct applied research, and translate findings into practical solutions to empower our users to harness the often untapped patterns from digital measure datasets. Success in this role requires both scientific creativity and pragmatic engineering. You will need to bring together your understanding of digital measure data collection systems with the latest supervised and unsupervised technologies all while ensuring models are reliable, scalable, and user-friendly for clinical and product stakeholders.
Responsibilities
Design and implement AI/ML models to extract and apply insights from digital health data.
Translate research into production-ready solutions that advance health and wellbeing.
Collaborate with clinical, product, and engineering teams to deliver practical, integrated tools.
Communicate complex technical concepts effectively to diverse audiences.
Stay current with AI/ML advancements and foster an inclusive, collaborative team culture.
Qualifications
Minimum Qualifications
Advanced degree in a quantitative discipline (e.g., data science, statistics, biomedical informatics, computer science, applied mathematics, or similar), or equivalent practical experience.
5+ years of experience developing and applying advanced machine learning and AI techniques to clinical, biomedical, or similarly complex data.
Strong proficiency in Python and experience with modern ML frameworks and Git-based workflows.
Demonstrated ability to design and implement novel algorithms or adapt research methods for practical applications.
Excellent written and verbal communication skills, with a proactive, collaborative approach to problem-solving.
Preferred Qualifications
Familiarity with wearable and smart sensing technologies, algorithms, and interpretation methods.
Practical experience in signal processing working with dense time series data types to provide insights from longitudinal datasets.
Experience collaborating with clinical research professionals or other domain experts.
Exposure to software engineering practices and experience contributing to production systems.
Strong curiosity and adaptability, with a demonstrated ability to learn new domains quickly.
This role is eligible for Verily-sponsored immigration support.
The US base salary range for this full-time position is $132,000 - $221,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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.
Verily Life Sciences LLC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please
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If you have a need that requires accommodation, please let us know by completing our
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