Lead Data Analyst (Healthcare Contractor)

Phamily • New York, NY

5h • Remote

About The Position

Jaan Health is a leading AI-based care management company serving healthcare providers, leveraging its proprietary technology, Phamily, to enable health systems, medical groups, and ACOs to deliver high-quality, high-ROI proactive care. Phamily transforms chronic disease management with clinically tested AI and easy-to-use technology, ensuring fair compensation for providers and improving the lives of patients with chronic diseases. This role seeks a Lead Data Scientist for Causal Inference & Clinical Outcomes for a 16-week engagement starting May 7, 2026. The primary mission is to lead a rigorous clinical outcomes study for Silver Cross Medical Group (SCMG) to quantify the impact of their Advanced Primary Care Management (APCM) and Chronic Care Management (CCM) programs. The study will provide empirical evidence on whether patients in these programs have lower hospital readmission rates and higher discharge follow-up rates. The role requires expertise in manipulating complex healthcare claims and EHR data to build an actuarial-grade causal inference framework. Additionally, the Lead Data Scientist will audit and extract value from a previous analytics vendor’s deliverables.

Requirements

• Deep experience in causal inference, metric design, and clinical outcomes evaluation.
• Extensive experience working with complex EHR and healthcare claims data.
• Highly capable in Python, R, SQL, dbt, Redshift, and Looker.
• Proven experience developing algorithms for high-dimensional statistical matching with large datasets.
• Practical experience maintaining strict PHI security protocols while building data infrastructure.
• Ability to design and execute "actuarial-grade" studies that control for significant confounding variables.
• Exceptional ability to synthesize technical data into narratives for non-technical clients.
• Advanced degree in a quantitative field (e.g., Data Science, Statistics, Health Economics, or Epidemiology).

Nice To Haves

• A 'builder' mentality with the ability to operate effectively in high-ambiguity environments where processes may not be fully fleshed out.
• Prior background as a Health Economics & Outcomes Research (HEOR) consultant.
• Experience in presenting methodology to and gaining approval from health system actuaries.

Responsibilities

• Lead a longitudinal, quasi-experimental study starting May 7 to measure clinical outcomes, specifically hospitalization frequency and discharge follow-ups.
• Apply advanced methodologies (e.g., propensity score matching) to observational data to estimate counterfactual patient outcomes with minimal bias.
• Develop and refine statistical models that will be thoroughly vetted and approved by customer actuaries.
• Serve as the primary analytical face to SCMG, gathering requirements and aligning on clinical/business definitions of success.
• Translate complex statistical findings into compelling presentations and client-ready reports for both technical and non-technical leadership.
• Extract usable value from an existing outsourced study, close out the vendor contract, and integrate relevant findings into the final study.
• Navigate and build analytics reporting infrastructure using SQL, Python, dbt, Redshift, and Looker.
• Ensure all code is clean and reproducible for final handover to the internal Phamily BI team.

Benefits

• Competitive compensation commensurate with experience
• Potential to earn equity based on performance
• Medical, dental, and vision coverage for employees and dependents at a nominal cost
• Paid maternity leave
• FSA and Dependent Care account options
• 401(k) Eligibility after 6 months of full-time employment
• Collaborative, mission-driven work environment

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 11-50 employees