The #1 clinic for joint & muscle pain. Join today and take control of your pain with access to our personalized virtual physical therapy program. Backed by Bessemer and Insight.
About the role
Join the team building the evidence engine behind Hinge Health’s digital musculoskeletal (MSK) care. As a Biostatistician focusing on Quantitative Epidemiology, you’ll design and execute rigorous studies that demonstrate how our products improve outcomes, experiences, and costs for millions of members.
What they're looking for
- A rigorous applied statistician who is comfortable moving from study design to modeling to clear interpretation, with a strong focus on real-world impact rather than purely theoretical work
- A collaborative, “learn-it-all” partner who seeks feedback, iterates on methods, and stays current on statistical best practices in clinical, digital health, and real-world evidence settings
- An effective communicator who can translate complex statistical results into meaningful stories and recommendations for both technical and non-technical stakeholders
- An owner-operator who brings strong judgment, takes accountability for the quality of your analyses, and helps raise the bar on evidence generation across teams
- MS or PhD in Biostatistics, Statistics, Epidemiology, or a closely related quantitative field
- Experience working in regulated healthcare, clinical research, or digital health environments
More about this role
Join the team building the evidence engine behind Hinge Health’s digital musculoskeletal (MSK) care. As a Biostatistician focusing on Quantitative Epidemiology, you’ll design and execute rigorous studies that demonstrate how our products improve outcomes, experiences, and costs for millions of members. You’ll partner closely with clinical, product, data, and research teams to shape strategy through high-quality analyses, turning complex real-world data into clear, actionable insights for decision-makers across the business.
Design statistical analysis plans for observational and interventional studies, clinical evaluations, and product impact analyses in collaboration with clinical, product, and data partners.
Implement and validate core analysis workflows in R/Python/SQL for key in-flight studies, ensuring methods are appropriate and reproducible.
Build strong cross-functional relationships with clinical, research, and product stakeholders to understand their goals and data sources.
Lead end-to-end analyses of complex longitudinal and real-world datasets, from study design and data preparation through modeling and interpretation.
Define and refine metrics, hypotheses, and success...
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