Healthcare Research 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 our enterprise-wide research and improvement agenda. The ideal candidate will have demonstrated success in applying rigorous statistical methods to observational data, including electronic health records (EHRs) and administrative claims, to generate actionable insights that support health system improvement, quality improvement strategy, and public accountability. This individual must be adept at managing research partnerships and ensuring that externally communicated findings align with the Joint Commission's strategic goals and mission. The role involves collaboration across Joint Commissions certification, accreditation, and performance measurement programs and helps extend the organization's analytic capabilities in ways that promote quality in healthcare delivery.

• Design and lead applied research studies that estimate associations and causal effects from non-randomized healthcare data, contribute to Joint Commissions priorities in quality measurement, accreditation and certification evaluation, and system-level learning.
• Develop and implement advanced analytic methods, including but not limited to instrumental variables, difference-in-differences, regression discontinuities marginal structural models, propensity score-based techniques, synthetic controls, and machine learning.
• Work with JC's diverse data resources, including accreditation survey findings and patient level data (PLD) from participating health systems, as well as external sources such as Medicare and Medicaid claims.
• Build relationships and consensus across operational, clinical, and business functions to support the development, execution, and dissemination of research that advances Joint Commission priorities.
• Translate research findings into accessible, policy-relevant insights for diverse audiences including business leaders, regulators, hospitals, and the public.
• Ensure that public-facing research outputs and communication reflect the strategic and reputational interests of the Joint Commission.
• Publish findings in peer-reviewed journals and contribute to internal strategic products, performance improvement resources, and external stakeholder briefings.
• Develop non-technical memos, briefs, and other materials to inform internal leadership decisions and support external stakeholder engagement.
• Collaborate with cross-functional teams within the Joint Commission, the National Quality Forum (NQF), and external partners to inform accreditation standards, quality improvement engagement, benchmarking, and outcomes-driven certification.
• Provide direction to and oversight of data analysts and research assistants assigned to support project work, ensuring high-quality and timely execution of analytic tasks.
• Contribute to a culture of rigor, transparency, and equity in research planning, execution, and dissemination.

• 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 areas such as healthcare economics, outcomes, delivery, policy, quality, or safety.
• Demonstrated success communicating analytic findings and familiarizing non-researchers with research methods.
• Ability to independently code, execute, and troubleshoot statistical analyses in R, Stata, or Python.
• Commitment to Joint Commission's mission to continuously improve healthcare for the public, in collaboration with key stakeholders.
• Demonstrated track record of designing and overseeing analytic projects from concept through execution, including managing scope, timelines, and outputs in research or applied settings.

• Experience with Joint Commission's quality process and outcome measures in prior work.
• Experience conducting research with or within an organization where outputs must align with institutional mission and communications strategy (e.g., ASPE, CMS, AHRQ, VA, state agencies, consulting companies, etc.).
• Familiarity with predictive modeling or statistical learning methods is welcome, especially when integrated with causal inference approaches and natural language processing (NLP).
• Familiarity with regulatory, payer, or policy contexts (e.g., CMS Conditions of Participation, state Medicaid programs, or alternative payment models).
• Experience working in cross-functional teams, including collaborating across roles and managing project-based responsibilities without direct supervisory authority.

• Joint Commission offers a comprehensive benefits package.
• For an overview of our benefits package, please visit our Joint Commission Career Page.

MIN $106,000.00 MAX $138,000.00

We are an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

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