Biostatistician

The Opportunity

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.

What You’ll Accomplish

In your first 3 months, you will:

• 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.

By 6 months, you will:

• 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 criteria that connect statistical rigor to clear business and clinical decisions.

• Establish and document reproducible analysis pipelines, helping raise the bar on analytical quality, transparency, and speed across the team.

By your first year, you will:

• Serve as a go-to partner for complex statistical questions, advising on study design, method selection, and interpretation for multiple product and clinical initiatives.

• Support manuscripts, abstracts, and presentations that showcase Hinge Health’s clinical and product outcomes to customers, partners, and the broader research community.

• Help continuously improve how Hinge Health generates, validates, and communicates evidence, so stakeholders can act quickly and confidently on the insights you provide.

Who You Are

• 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.