Data Scientist - Digital Measures
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
