Calibrate is the leading physician-led obesity management solution proven to deliver multi-year weight loss and cardiometabolic improvement. Backed by more than five years of real-world clinical data, Calibrate members achieve an average of 18% weight loss at one year and sustain these results over the long term, far exceeding outcomes from medication alone.

Calibrate’s integrated, personalized model unifies clinical care and transformative coaching to actively manage medication use, drive weight loss results and improve metabolic health. Across employer populations, Calibrate has reduced GLP-1 spend by 30–50%+ while delivering positive ROI and downstream medical cost savings.

Calibrate partners with employers ranging from 5,000 to 400,000 employees across multiple industries, and works with all major PBMs.

ABOUT THE ROLE:

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

BACKGROUND AND EXPERIENCE

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

Hands on experience with DBT and data modeling

Proficiency with using a data reporting software (e.g. Tableau, Microsoft Power BI, Looker,etc.)