Joint Commission→
Healthcare Research Analytics Internship at Joint… · District…
InternshipOn-siteFull-timeDistrict of Columbia$62k–$62k/yr
Skills
r programmingpython programmingsqlstatadata analysisresearch experience
Job Description
Summary: Joint Commission is a nonprofit organization focused on quality improvement and patient safety in healthcare. They are seeking a summer intern for their Research Center to support data analytics initiatives that inform healthcare quality improvement and accreditation strategy, involving tasks such as data processing, analysis, and contribution to research publications.
Responsibilities:
- Support data analytics workflows via collaborating with Sr. Healthcare Data Analysts, Research Scientists and the Director of Health Services Research
- Prepare, clean, merge, and manage healthcare datasets from a variety of sources, including patient-level electronic health record (EHR) data, accreditation and certification records, and administrative claims (e.g., Medicare, Medicaid) using a variety of programming languages (e.g., R, Python, Stata)
- Extract and manipulate data from relational databases using SQL and/or other tools available
- Conduct statistical analyses using established and novel methods under the direction of research leadership; contribute to reproducible and well-documented analytic workflows
- Use statistical programming languages (e.g., R, Python, Stata) to create summary statistics, data visualizations, and model estimates for use in research studies, internal strategy documents, policy briefs, and peer-reviewed publications
- Implement quasi-experimental research designs and machine learning methods, as well as the associated data pre-processing, hyperparameter tuning, model evaluation, and assumption testing
- Maintain detailed documentation of data sources, definitions, programming steps, and quality checks to ensure transparency and reproducibility
- Contribute to the preparation of manuscripts for peer-reviewed journals, technical memos, data briefs, and presentation materials for internal decision-making and external dissemination
Required Qualifications:
- Bachelor's degree in a discipline with substantial quantitative components
- Currently enrolled in a quantitative Master's degree program (e.g., Biostatistics, Data Science, Economics, Epidemiology, Public Policy, Health Policy, Statistics)
- Experience with R and/or Python programming languages for data processing, analysis, and visualization
- Experience querying and manipulating data using SQL
- Experience communicating and collaborating with multidisciplinary stakeholders in a team environment
Preferred Qualifications:
- Experience analyzing patient- and/or hospital-level healthcare data
- Experience supporting research using quasi-experimental designs (e.g., difference-in-differences, instrumental variables) and machine learning
- Experience contributing to or co-authoring peer-reviewed journal publications
- Experience translating complex analytic findings for non-technical stakeholders
- Prior work in a mission-driven organization or collaborative research environment
- Currently enrolled undergraduate students who demonstrate substantial relevant experience may also be considered
Required Skills: R programming, Python programming, SQL
Important Skills: Stata, Data analysis
Nice-to-Have Skills: Research experience