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Mid LevelFull-timeGit
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
The Department of Health Policy and Management (HPM) at the Harvard T.H. Chan School of Public Health seeks a Statistical Analyst / Research Programmer to support multidisciplinary health policy and health services research projects. This position involves analyzing large-scale Medicare and Medicaid administrative claims and assessment data in an academic research environment.
Key Responsibilities
- →Manage, organize, and document large, longitudinal Medicare and Medicaid claims and assessment datasets
- →Design and maintain analytic datasets, including complex data linkage, merging, and transformation workflows
- →Conduct statistical analyses using STATA as the primary tool, with SAS and/or R as complementary tools
- →Work with restricted-access federal data sources like CMS Virtual Research Data Center (VRDC) and T-MSIS Analytic Files (TAF)
- →Support analyses involving regression modeling, quasi-experimental methods, longitudinal and hierarchical models, and survey-weighted analyses
- →Translate research questions into analytic plans and reproducible code
- →Prepare tables, figures, and analytic summaries for manuscripts, grant applications, and presentations
- →Maintain clear and reproducible documentation of data management and analytic workflows
- →Coordinate with remote collaborators and contribute to team-based research efforts
Requirements
- ✓Strong quantitative and statistical programming skills
- ✓Experience with STATA, SAS, and/or R
- ✓Knowledge of regression modeling, quasi-experimental methods, longitudinal and hierarchical models, and survey-weighted analyses
- ✓Ability to work with large, complex datasets
- ✓Experience with restricted-access federal data sources
- ✓Excellent documentation and communication skills
- ✓Commitment to professional development and mentorship
- ✓PLEASE NOTE: This is a term appointment of one year from date of hire, with the possibility of extension based on funding and performance. Shortlisted candidates will be required to submit a writing sample and may be asked to complete a statistical programming skills assessment.
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