Study Design & Execution: Lead a longitudinal, quasi-experimental study starting May 7 to measure clinical outcomes, specifically hospitalization frequency and discharge follow-ups.
Causal Inference Modeling: Apply advanced methodologies (e.g., propensity score matching) to observational data to estimate counterfactual patient outcomes with minimal bias.
Actuarial-Grade Validation: Develop and refine statistical models that will be thoroughly vetted and approved by customer actuaries.
Stakeholder Management: Serve as the primary analytical face to SCMG, gathering requirements and aligning on clinical/business definitions of success.
Data Storytelling : Translate complex statistical findings into compelling presentations and client-ready reports for both technical and non-technical leadership.
Vendor Audit & Wrap-up: Extract usable value from an existing outsourced study, close out the vendor contract, and integrate relevant findings into the final study.
Technical Infrastructure: Navigate and build analytics reporting infrastructure using SQL, Python, dbt, Redshift, and Looker.
Project Handoff: Ensure all code is clean and reproducible for final handover to the internal Phamily BI team.
Requirements
Health-Tech Expertise: Deep experience in causal inference, metric design, and clinical outcomes evaluation.
Data Proficiency: Extensive experience working with complex EHR and healthcare claims data.
Advanced Analytics Toolkit: Highly capable in Python, R, SQL, dbt, Redshift, and Looker.
Statistical Matching: Proven experience developing algorithms for high-dimensional statistical matching with large datasets.
Security Standards: Practical experience maintaining strict PHI security protocols while building data infrastructure.
Analytical Rigor: Ability to design and execute "actuarial-grade" studies that control for significant confounding variables.
Communication: Exceptional ability to synthesize technical data into narratives for non-technical clients.
Education: Advanced degree in a quantitative field (e.g., Data Science, Statistics, Health Economics, or Epidemiology).
Preferred Requirements
Entrepreneurial DNA: A 'builder' mentality with the ability to operate effectively in high-ambiguity environments where processes may not be fully fleshed out.
HEOR Consulting: Prior background as a Health Economics & Outcomes Research (HEOR) consultant.
Actuarial Alignment: Experience in presenting methodology to and gaining approval from health system actuaries.
Work Style & Logistics
This is a remot
Benefits
Contract: $100-$160 per hour, depending on experience.Direct Hire: Competitive base salary, flexible and commensurate with experience.Compensation will be determined based on the candidate's qualifications, experience, and overall fit for the positioAbout Jaan Health/PhamilyJob/Role DescriptionHealth insuranceRemote work optionsFlexible schedule
Additional Information
Lead Data Scientist, Causal Inference & Clinical Outcomes Contractor
Location: Remote
Job Type: Contract to Hire or Full-Time (Flexible)
Job Reports To: Director of Business Intelligence
Jobsatphamily · New York City