Associate Health Data Analyst - Big Data and Health Equity in Transplantation
Job Description
Associate Health Data Analyst - Big Data and Health Equity in Transplantation
Med-Surgery - Pennsylvania-Pittsburgh - (25006411)
The Transplant Research Laboratory is seeking a highly motivated Research Scientist with a bachelor's degree in an advanced degree in Statistics, Data Science, Epidemiology, or a related field. This position focuses on big data analytics, health equity, and the social determinants of health (SDOH) as they relate to financial barriers and access to organ transplantation. The successful candidate will collaborate closely with transplant program leadership and play a key role in advancing the lab’s research agenda through rigorous data analysis, manuscript development, and dissemination of findings at national meetings. This position offers the opportunity to work in a dynamic, multidisciplinary environment at the intersection of data science, clinical research, and transplant policy. The Research Scientist will contribute substantially to shaping data-driven strategies that inform equitable access to transplantation care.
Job Summary
Coordinates and performs statistical analysis on healthcare data for assessment. Interprets data and develops reports; evaluates and suggests improvements, tracks data sets, and maintains databases.
Essential Functions
Physical Effort
Little physical effort required.
Duties are primarily sedentary.
May be required to move objects up to 25 pounds occasionally.
Assignment Category: Full-time regular
Job Classification: Staff.Associate Health Data Analyst
Job Family: Research
Job Sub Family: Clinical Research
Campus: Pittsburgh
Minimum Education Level Required: Bachelor's Degree
Minimum Years of Experience Required: No experience required
Will this position accept substitution in lieu of education or experience: Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement.
Work Schedule: Monday - Friday, 8:30 a.m. - 5:00 p.m.
Work Arrangement: Hybrid: Combination of On-Campus and Remote work as determined by the department.
Hiring Range: TBD Based Upon Qualifications
Relocation_Offered: No
Visa Sponsorship Provided: No
Background Check: For position finalists, employment with the University will require successful completion of a background check
Child Protection Clearances: Not Applicable
Required Documents: Resume
Optional Documents: Not Applicable
Equal employment opportunity, including veterans and individuals with disabilities.
PI279898334
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