This position is located within the newly established SMHS Center for Population Health Sciences and Health Equity (CPHSHE). The CPHSHE was founded in late 2022 as a premier academic center within the university for applied population health research to address health inequities. The Data Research Scientist, Center for Population Health Sciences and Health Equity position will report to a senior faculty leader/associate division chief within the Center’s Population Health and Accountable Care Division.
KEY RESPONSIBILITIES
- Performs data analytics contributing to the development and improvement of CPHSHE programs and initiatives through evidence-based practices.
- Researches, recommends, and implements data systems to facilitate data collection, enterprise-wide communication, information sharing, and data program improvement. Requests and maintains data from diverse sources within and outside the GW academic medical enterprise to house in one central location for monitoring/reporting.
- Performs analytical research and produces interpretive reports and special studies.
- Collects and cleans data, conducts statistical analysis, creates visualizations and reports, and presents findings to CPHSHE leadership and other stakeholders.
- Works with program analysts and specialists in clinical quality improvement to identify key areas for data analysis and improvement in population and community health.
- Collaborates with other team members to develop and maintain data systems and processes to support ongoing data analysis and improvement efforts.
- With team members, works to analyze data, identify trends and patterns, and develop insights and recommendations to inform decision-making. Assists administrators and/or other partners on special projects.
- Serves as a troubleshooter and provides advice, assistance, and guidance to team members on data analysis and interpretation, as needed.
- Utilizes comprehensive knowledge of analytical mythologies, techniques, and tools to complete a variety of studies and work assignments with a background in data science, statistics, or related fields.
- Performs other work-related duties as assigned. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position.
Minimum Qualifications:
Qualified candidates will hold a Master’s degree plus 5 years of experience or a PhD plus 2 years of experience in a related discipline to include at least 2 years of research and/or college level teaching in a field basic to the work to be performed. Degree must be conferred by the start date of the position.
Preferred Qualifications:
Strong understanding of population health and health equity issues and concepts, especially as specifically relates to the local, DC community.
