Lead Data Scientist, Causal Inference & Clinical Outcomes Contractor (Remote)

jobsatphamily; USA; Remote; USD 170.000 - 243.000; Teilzeit

Zusammenfassung

jobsatphamily is seeking a part-time remote data scientist to assess whether care management programs improve patient outcomes through rigorous causal analysis of claims and EHR data. The engagement is 10–15 hours per week, with potential expansion as project needs evolve.

You will design quasi-experimental studies, evaluate outcomes like hospitalizations and readmissions, apply methods such as propensity score matching and inverse probability weighting, and document methods for knowledge

Qualifikationen

• Extensive experience in data science, biostatistics, epidemiology, health economics, or clinical outcomes research.
• Expertise in causal inference and observational study design for healthcare interventions.
• Strong Python, R, and SQL skills with large healthcare data.
• Ability to deliver statistically rigorous work for clinical, actuarial, or external review.
• Knowledge of healthcare privacy requirements (HIPAA).

Aufgaben

• Design and execute longitudinal, quasi-experimental studies with cohorts and outcomes.
• Evaluate hospitalizations, readmissions, and post-discharge outcomes.
• Apply causal inference methods such as propensity score matching, IPW, and differences-in-differences.
• Address confounding, run sensitivity analyses, and assess robustness of results.
• Analyze claims, EHR, and utilization data; build reproducible Python/R/SQL workflows.
• Explain findings in reports and presentations; document methods for knowledge transfer.

Kenntnisse

Causal inference

Observational study design

Statistical analysis

Ausbildung

Advanced degree in a quantitative field

Tools

Python

R

SQL

Jobbeschreibung

Role overview

Lead a part-time research engagement assessing whether care management programs are associated with improved patient outcomes. The work centers on rigorous causal analysis of healthcare claims and electronic health record data, with findings prepared for clinical, actuarial, and business audiences. The engagement is remote, initially planned for 10–15 hours per week, and may expand as project needs evolve.

Responsibilities

• Design and execute longitudinal, quasi-experimental studies, including defining patient cohorts, comparison groups, and outcome measures.
• Evaluate hospitalization, readmission, and post-discharge follow-up outcomes for care management programs.
• Apply suitable causal inference methods, such as propensity score matching, inverse probability weighting, and difference-in-differences.
• Address confounding and selection bias, run sensitivity analyses, and assess the robustness of results.
• Analyze claims, EHR, and utilization data; build reproducible workflows in Python, R, and SQL.
• Explain findings in reports and presentations, review prior analytical work, and document methods for knowledge transfer.

Requirements

• Extensive experience in data science, biostatistics, epidemiology, health economics, or clinical outcomes research.
• Demonstrated expertise in causal inference and observational study design, including evaluation of healthcare interventions.
• Strong Python, R, and SQL skills, with experience analyzing large healthcare claims and EHR datasets.
• Ability to independently deliver statistically rigorous work suitable for clinical, actuarial, or external review.
• Understanding of healthcare privacy requirements, including HIPAA and protected health information.
• Advanced degree in a relevant quantitative field and strong communication skills for nontechnical audiences.

Nice to have

• Experience in HEOR consulting, chronic care management, population health, value-based care, or Medicare-related programs.
• Familiarity with APCM, CCM, healthcare reimbursement, actuarial review, or tools such as dbt, Redshift, and Looker.
• Consulting experience and a record of preparing executive-level research materials.

Benefits and work setup

• Remote, flexible, project-based contract, with possible extension.
• The listing offers $150 per hour and describes either 1099 or W-2 contract engagement.