What are the responsibilities and job description for the Associate Health Data Analyst - Big Data and Health Equity in Transplantation position at The University of Pittsburgh?
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
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
