Healthcare Data Scientist — Causal Inference & Impact Analytics

The Joint Commission; Northern (KY); Hybrid; USD 99,000 - 134,000; Full time

Benefits offered by this job

Benefits package

Job summary

The Joint Commission is seeking a Healthcare Research Scientist with deep expertise in causal inference and health data analytics to advance enterprise-wide research and improvement initiatives. You will design studies using EHRs and claims data to inform quality and public accountability, collaborating across accreditation, certification, and performance measurement programs.

The role requires a PhD in a quantitative field, strong publication record, and proficiency in R, Stata, or Python.

Qualifications

• PhD or equivalent in a quantitative field.
• Doctoral-level experience applying causal inference methods to real-world healthcare data preferred.
• Peer-reviewed publication record in healthcare economics, outcomes, delivery, policy, quality, or safety.
• Demonstrated success communicating analytic findings to non-researchers.
• Ability to independently code, execute, and troubleshoot analyses in R, Stata, or Python.

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, DiD, regression discontinuities, MSMs, propensity scores, synthetic controls, and ML.
• Work with data sources such as accreditation surveys and patient-level data from health systems, plus Medicare/Medicaid claims.
• Build relationships across operations, clinical, and business functions to disseminate research aligned with Joint Commission priorities.
• Translate research findings into accessible, policy-relevant insights for diverse audiences including leaders and regulators.
• Publish findings in peer-reviewed journals and contribute to internal strategic products and stakeholder briefings.
• Create non-technical memos and briefs to inform internal leadership decisions and external engagement.
• Collaborate with cross-functional teams to inform accreditation standards, quality improvement, benchmarking, and outcomes-focused certification.
• Provide direction to data analysts and research staff to ensure high-quality, timely analytic outputs.
• Foster a culture of rigor, transparency, and equity in research planning and dissemination.

Skills

Causal inference

R

Stata

Python

EHR data

Education

PhD or equivalent in economics, health services research, epidemiology, biostatistics, public policy

Tools

R

Stata

Python

Job description

The Joint Commission is seeking a Healthcare Research Scientist with deep expertise in causal inference and health data analytics to advance enterprise-wide research and improvement initiatives. You will design studies using EHRs and claims data to inform quality and public accountability, collaborating across accreditation, certification, and performance measurement programs.

The role requires a PhD in a quantitative field, strong publication record, and proficiency in R, Stata, or Python.