Job Description Summary:
Founded in 1824, the GW School of Medicine and Health Sciences (SMHS) is the 11th oldest medical school in the country and the first in the nation’s capital. Since its establishment, the school has been at the forefront of medical education, and has grown to include highly-ranked programs in the health and biomedical sciences. With dozens of top-tier residency programs, SMHS is a competitive and esteemed destination for medical school graduates across the country. Always guided by the goal of improving patient health, SMHS fosters an atmosphere of caring and collaboration where educators and researchers advance scientific discovery and translate those breakthroughs into action. By harnessing new technologies and therapies, SMHS prepares doctors and health sciences professionals to deliver high-quality health care.
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. This 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 of data analysis and interpretation, as needed.
Utilize comprehensive knowledge of analytical mythologies, techniques and tools to complete a variety of studies and work assignments with background in data science, statistics or related field.
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.
Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications:
Preferred Qualifications:
Strong understanding of population health and health equity issues and concepts, especially as specifically relates to the local, DC community
Typical Hiring Range Commensurate with Experience.
Campus Location: Foggy Bottom, Washington, D.C.
College/School/Department: School of Medicine and Health Sciences (SMHS)
Family Research and Labs
Sub-Family Field Research
Stream Individual Contributor
Level Level 4
Full-Time/Part-Time: Full time -> FTE 1.00
Hours Per Week: 40
Work Schedule: Monday -Friday
Will this job require the employee to work on site? Yes
Employee Onsite Status Hybrid
Telework:
Required Background Check Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search
Special Instructions to Applicants:
Employer will not sponsor for employment Visa status
Internal Applicants Only? No
Posting Number: R002088
Job Open Date: 03/15/2024
Job Close Date:
If temporary, grant funded or limited term appointment, position funded until:
Background Screening Successful Completion of a Background Screening will be required as a condition of hire.
EEO Statement:
The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.
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