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.

OUTCOMES

• Develop analysis plans, methods and reports for various data science initiatives within the clinical and product teams
• Prepare and link diverse data sources to facilitate feature-construction for exploratory analyses
• Develop algorithm for measuring a variety of efficacy and safety related outcomes
• Synthesize evidence related to preliminary hypotheses regarding product use and user behavior
• Develop and tune predictive models to improve product delivery and outcomes
• Discover opportunities for reusing and repurposing analysis tools
• Synthesize evidence related to preliminary hypotheses regarding product use and user behavior

REQUIREMENTS

• 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

WHAT YOU'LL LOVE ABOUT US

• 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

BONUS POINTS

• 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're interested - we'd love to hear from you. No recruiters, please. 

Hinge Health is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. 

We celebrate diversity and are committed to creating an inclusive environment for all employees.