Health Policy Data Analyst – Data Management - HYBRID

Vanderbilt University Medical Center•Nashville, TN

1d•Hybrid

About The Position

The Department of Health Policy is seeking qualified health policy data analyst candidates to provide support for complex quantitative research projects in health policy, public health, or related disciplines under occasional faculty guidance. This position utilizes intermediate level research skills to perform a variety of quantitative research activities including data management, analysis of quantitative data, and report preparation. The ideal candidate will work well with multiple faculty members and projects simultaneously, be self-directed, think critically about complex data, proactively identify and resolve problems, and complete assignments in a timely manner. Familiarity with administrative healthcare claims data is requested, experience with T-MSIS analytic files in particular is desired. In addition to creating analytic datasets from dissimilar data sources, the responsibilities of this position will include quantitative and written data analysis on issues of current policy interest, including health reform, Medicare/Medicaid spending and utilization patterns, health information technology, population health, and health care disparities. Examples of projects may include: Analyzing trends in health care expenditures for Medicare and Medicaid beneficiaries, Evaluating options for improving the value of care delivered to patients in diverse settings, Comparing patient clinical outcomes using healthcare claims linked with other data sources. This position requires a Master's degree, or equivalent work experience. You will enjoy a hybrid work schedule Monday-Friday, standard daytime business hours. You will need to report to our office at 2525 West End Ave. a couple of times a week. The Department of Health Policy at Vanderbilt University Medical Center is a large and welcoming group of health policy faculty and staff who have broad experiences and backgrounds and conducting world-class health services research. The Department's collective goal is to inform health policy solutions and positively impact numerous areas of public health. The Department builds on a history of strong collaborative relationships with the Tennessee Department of Health, Tenncare, the Centers for Disease Control and Prevention, and other local, state, national and global policy makers.

Requirements

Master's degree and two years of related experience
A degree in economics, statistics, engineering, public policy, or another field with quantitative coursework is strongly preferred

Nice To Haves

Expertise with Stata, SAS, or R
Strong written and verbal communication skills
Strong quantitative, statistical and data analysis skills
Strong analytic and problem-solving skills, with the ability to independently identify and resolve programming issues
Ability to critically evaluate data structures, analyses, and results without relying solely on automated programming tools
Experience working with longitudinal administrative healthcare claims data
Experience combining dissimilar data to create analytic datasets
Knowledge of health policy issues
Self-starter with good time management, initiative, and professional work style

Responsibilities

Responsible for cleaning, validating, and managing large and/or complex datasets, including administrative healthcare claims, and ensuring data quality and accuracy throughout cohort creation and analysis
Integrates and cross-validates data from different sources with differing structures and formats
Maintains detailed documentation of data management and programming codes
Ensures the integrity and security of data
Performs complex data linkages across data sources with different structures
Independently identifies and resolves data and programming issues
Uses advanced statistical and data programming skills to manage and analyze data (e.g., SAS, Stata, R)
Conducts, summarizes, and interprets complex analyses, including weighted and hierarchical analyses, time-to-event analyses, causal analyses, mediation analyses, and analyses of treatment-effects heterogeneity
Identifies, validates, extracts, and formats data for statistical analysis following project-specific parameters
Able to create, modify, and run queries and produce reports
Creates complex charts, graphs, and tables to summarize analysis results
Expertise in data modeling and understands relationships between data items
Critically evaluates and understands results and troubleshoots discrepancies
Uses intermediate quantitative research methods skills to participate in the design, coordination and conduct of research projects
Prepares materials and drafts technical sections of presentations and written documents
Able to prepare effective presentations in content and function
Fosters collaboration between team members, both internal and external to the department