Clinical Data Scientist

San Francisco
Hinge Health is pioneering the world's most patient-centered digital hospital, starting with musculoskeletal health. MSK conditions are the #1 medical spend for US employers. Hinge Health is finally making it easier to bring expert-recommended care to millions of patients by being the first company to combine wearable-sensor guided exercise therapy with 1-on-1 health coaching and patient education. Only Hinge Health has clinically validated outcomes across 4 peer-reviewed studies showing reductions in: chronic pain, opioid use, anxiety, depression, absenteeism, and costly surgeries.

4 in 5 employers with a digital MSK solution partner with Hinge Health and we are poised to triple our customer base again in 2020. Hinge Health has raised $126M to date and has 200+ employees across our San Francisco, Portland, Minneapolis, Chicago, and remote offices. 

Our tech stack: AWS, Aptible, Postgres, Redis, Rails, Python, R, Airflow, Mode Analytics, Android, React, and React Native.


    • Development of analysis plans, methods and reports for various data science initiatives within the clinical and product teams
    • Preparation and linking of diverse data sources to facilitate feature-construction for exploratory analyses
    • Algorithm development for measuring a variety of efficacy and safety related outcomesSynthesis of evidence related to preliminary hypotheses regarding product use and user behavior
    • Development and tuning of predictive models to improve product delivery and outcomes
    • Discovering opportunities for reusing and repurposing analysis tools
    • Synthesis of evidence related to preliminary hypotheses regarding product use and user behavior


    • 2 or more years of experience in a data-scientist role
    • Training in a broad spectrum of statistical techniques that span learning, experimental design and observational data analysis
    • Proficiency in SQL and Python. Experience with R and other statistical analysis tools is advantageous
    • Proficiency in techniques for modeling gaps and noise in data repositories
    • Passionate about facilitating opportunities for skill-augmentation and professional development
    • Advanced degree in a quantitative discipline (statistics, computer science, applied mathematics, etc) highly preferred
    • Experience in modeling and visualizing medical claims data a plus
    • Experience with study designs and related techniques suited for analyzing a variety of data types and data generating processes  
    • Able to work in a dynamic, high-growth and cross-functional environment


    • Competitive compensation with meaningful stock options
    • Medical, dental, vision
    • 401K match 
    • 3 months paid parental leave
    • Daily lunch
    • Professional development budget 
    • Monthly fitness/gym reimbursement  
    • Annual mental wellness benefit 
    • Noise-cancelling headphones 
    • Work from home policy
    • Opportunity to join a fantastically talented, diverse, and passionate team at a pivotal time in the company’s lifecycle


    • Has a strong foundations in statistics
    • Considers discarding data a cardinal sin
    • Is obsessed over quality and integrity in the planning, execution and presentation of scientific analyses
    • Thrives in an environment that encourages critical thinking
    • Expresses and interprets ideas dispassionately and respectfully
    • Has an impressive tool-chest of data modeling techniques and can apply these techniques to real-world data
    • Can determine the appropriate statistical approach, given a high-level description of a problem and goals
    • Utilizes complex machine learning algorithms on large data sets to solve prediction/classification problems
    • Is very well-versed in statistical inference
    • Can model longitudinal measurements of health markers, censored events and wearable device data-streams
If you love data and making an impact, go ahead and apply! We look forward to hearing from you!