Causal Inference Healthcare Scientist

Joint Commission on Accreditation of Healthcare Organizations; United States; On-site; USD 106,000 - 138,000; Full time

Job summary

Joint Commission seeks a Healthcare Research Scientist with deep expertise in causal inference and healthcare data analytics to advance enterprise-wide research and improvement initiatives. The role focuses on applying rigorous statistical methods to observational data, including EHRs and claims, to generate actionable insights for health system improvement and public accountability.

The candidate will lead applied studies, develop advanced analytic methods, and collaborate across accreditation,

Qualifications

• PhD or equivalent in economics, health services research, epidemiology, biostatistics, public policy, or a related quantitative field.
• 2 years post-doctoral experience applying causal inference methods to real-world healthcare data, especially administrative claims.
• Peer-reviewed publication record in healthcare economics, outcomes, delivery, policy, quality, or safety.
• Demonstrated success communicating analytic findings to non-researchers.

Responsibilities

• Design and lead applied research studies that estimate associations and causal effects from non-randomized healthcare data.
• Develop and implement advanced analytic methods including instrumental variables, diff-in-differences, regression discontinuities, marginal structural models, propensity score techniques, synthetic controls, and machine learning.
• Collaborate with diverse data resources including EHRs, PLD, and external sources like Medicare/Medicaid claims.
• Build relationships across operational, clinical, and business functions to disseminate research reinforcing Joint Commission priorities.
• Translate findings into accessible policy-relevant insights for leaders, regulators, hospitals, and the public.
• Publish findings in peer-reviewed journals and contribute to internal strategic products and external stakeholder briefings.
• Produce non-technical memos and briefs for internal leadership decisions and external engagement.
• Collaborate with JC, NQF, and external partners to inform accreditation standards and quality improvement engagements.

Skills

Causal inference

Statistical analysis

Programming (R/Python/Stata)

Research leadership

Communication of results

Cross-functional collaboration

Education

PhD in economics/health services/epidemiology/biostatistics/public policy

Tools

R

Stata

Python

Job description

Joint Commission seeks a Healthcare Research Scientist with deep expertise in causal inference and healthcare data analytics to advance enterprise-wide research and improvement initiatives. The role focuses on applying rigorous statistical methods to observational data, including EHRs and claims, to generate actionable insights for health system improvement and public accountability.

The candidate will lead applied studies, develop advanced analytic methods, and collaborate across accreditation,