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Role Description

We are hiring a Clinical Data Scientist to lead the generation of credible, clinically rigorous evidence demonstrating how our program improves member health and long term outcomes. This role is explicitly clinical. You will design and execute outcome analyses that inform clinical decision making, support employer and partner credibility, and strengthen the foundation of our care model.

Key Responsibilities

• Clinical Impact:
  • Design and analyze clinical outcome studies evaluating weight loss and durability, medication adherence, metabolic and cardiometabolic risk indicators, and safety or clinical escalation patterns.
  • Build analyses that define the right cohorts, starting points, and follow up timelines to measure program impact.
  • Partner closely with Clinical leadership to evaluate treatment pathways, protocol adherence, and the timing and intensity of clinical touchpoints.
  • Assess the impact of clinical interventions on outcomes and overall member experience.
  • Use insights to inform and continuously improve clinical protocols and program design.
  • Contribute to building internal evidence frameworks that define and measure clinical effectiveness within our care model.
  • Translate analytic findings into clear, practical insights that support clinical and operational decision making.
• Data & Analytics:
  • Ensure analyses align with accepted clinical standards and are appropriate for clinical leadership, employer, and partner audiences.
  • Produce documentation and outputs that can withstand external scrutiny and support potential presentations or publications.
  • Partner with Data Engineering to define clinical data requirements, quality standards, and analytic definitions.
  • Ensure clinical analyses are reproducible, auditable, and clearly documented.
  • Work cross-functionally with Clinical and Product teams to strengthen the integrity, credibility, and usability of our outcomes data.

Qualifications

• 5+ years of experience analyzing clinical or healthcare outcomes data.
• Experience analyzing data over time and working with cohort based analyses.
• Proficiency in SQL and Python or R.
• Proficiency with Looker preferred.

Requirements

• The salary range for this role is $110,000-140,000.

Benefits

• Enjoy a generous paid time off policy, including multiple paid company holidays, wellness days, and floating holidays to support your work-life blend.
• Medical, dental, and vision benefit options to keep you and your family healthy.
• Calibrate-funded disability and basic life insurance, ensuring peace of mind during unforeseen events.
• Access to several wellness programs, including a complimentary Headspace membership, and therapy on your schedule with Headspace Care.
• Employee Assistance Program through Prudential to receive counseling on a wide range of topics.
• Remote-first ways of working, with the flexibility to work from any state.
• Competitive paid parental leave program to support new parents.