Healthcare Data Scientist: Causal Inference for Systems

The Joint Commission; United States; On-site; USD 99,000 - 134,000; Full time

Job summary

The Joint Commission seeks a Healthcare Research Scientist with deep expertise in causal inference and healthcare data analytics to advance enterprise‑wide research and improvement goals. You will lead studies using observational data (EHRs and claims) to inform quality and accreditation strategies and collaborate across certification, accreditation, and performance measurement programs.

You will develop advanced methods, work with diverse data resources, and translate research into accessible

Qualifications

• PhD or equivalent in economics, health services research, epidemiology, biostatistics, public policy, or 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 estimating associations and causal effects from non-randomized healthcare data.
• Develop and implement advanced analytic methods including IVs, DiD, regression discontinuities, MSMs, propensity score methods, synthetic controls, and ML.
• Collaborate with diverse data sources including EHRs and claims data.
• Translate findings into policy-relevant insights for leaders, regulators, hospitals, and the public.
• Publish findings in peer‑reviewed journals and contribute to internal/external strategic materials.

Skills

Causal inference

Healthcare data analysis

Statistical programming

Scientific communication

Education

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

Tools

R

Stata

Python

Job description

The Joint Commission seeks a Healthcare Research Scientist with deep expertise in causal inference and healthcare data analytics to advance enterprise‑wide research and improvement goals. You will lead studies using observational data (EHRs and claims) to inform quality and accreditation strategies and collaborate across certification, accreditation, and performance measurement programs.

You will develop advanced methods, work with diverse data resources, and translate research into accessible