Senior Healthcare Data Analyst

Role Description

Joint Commission seeks a highly skilled and motivated Sr Healthcare Data Analyst to support a growing portfolio of research and analytics initiatives that inform quality improvement, accreditation strategy, certification programs, and system-level learning. This is a hands-on role requiring technical rigor, independent execution, and a strong sense of mission.

• Independently prepare, clean, merge, and manage healthcare datasets from various sources, including patient-level data, healthcare organization-level data, accreditation and certification records, and administrative claims (e.g., Medicare, Medicaid).
• Conduct complex statistical analyses using established and novel methods under the direction of research leadership; contribute to reproducible and well-documented analytic workflows.
• Take ownership of analytical deliverables for specific research objectives within larger studies.
• Use statistical programming languages (e.g., R, Stata, Python) to create summary statistics, data visualizations, files for analysis, and analytic tables for internal strategy documents, policy briefs, and peer-reviewed publications.
• Extract and manipulate data from relational databases using SQL or other tools as required.
• Develop, maintain, and document GitHub-based analytical workflows, including version-controlled code, quality assurance processes, and technical documentation to support reproducible healthcare research and analytics.
• Maintain detailed documentation of data sources, definitions, programming steps, and quality checks to ensure transparency and reproducibility.
• Coordinate with research scientists and other stakeholders to ensure alignment of analytic deliverables with study objectives and timelines.
• Lead analysis of defined analytic tasks within research projects with guidance from research scientists.
• Contribute to the preparation of manuscripts for peer-reviewed journals, technical memos, data briefs, and presentation materials for internal decision-making and external dissemination.
• Develop and deliver presentations on data acquisition, data quality, analytical progress, project milestones, and study findings to both technical and non-technical audiences, translating complex information into clear, actionable recommendations.

Qualifications

• Bachelor's degree in a quantitative field such as biostatistics, statistics, economics, epidemiology, health services research, public health, health informatics, data science, computer science, mathematics, applied mathematics, or a related discipline, with at least 5 years of relevant healthcare research experience; OR a Master's degree in a related discipline, with at least 2 years of relevant healthcare research experience.
• Advanced proficiency in statistical programming languages such as R, Stata, or Python, including experience working within modern analytics development environments.
• Advanced database management skills in extracting and managing data from structured databases using SQL.
• Experience building, maintaining, or validating analytical data pipelines and large-scale healthcare datasets.
• Experience using version control systems (e.g., Git/GitHub) and reproducible research practices.
• Demonstrated ability to learn, adapt to, and effectively apply new programming, analytics, and database management tools.
• Experience working with real-world healthcare data such as health outcomes, claims, or quality reporting metrics.
• Knowledge of healthcare outcomes research principles and study design.
• Meticulous attention to detail and commitment to reproducible, well-documented analytics.
• Experience supporting research using causal inference methods.
• Experience contributing to or co-authoring peer-reviewed journal publications.
• Experience mentoring junior data analysts.
• Experience translating complex analytic findings for technical and non-technical stakeholders.
• Strong organizational and communication skills.
• Demonstrated ability to take initiative, independently drive analytical work forward, and effectively prioritize competing projects, tasks, and deadlines.
• Commitment to Joint Commission’s mission to improve health care quality and safety.

Requirements

• Advanced proficiency in R, including experience building reproducible analytical workflows and producing publication-quality statistical analyses and visualizations.
• Experience developing and maintaining analytical workflows across multiple programming languages.
• Experience utilizing cloud-based data engineering and analytics platforms.
• Experience using AI-assisted development tools to improve analytic productivity and workflow development.
• Experience using and critically evaluating generative AI tools.
• Prior work in a mission-driven organization or collaborative research environment.
• Application of machine learning techniques or AI tools to research questions.

Benefits

• Comprehensive benefit package.

Company Description

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.