Data Analyst

About

The University of Pittsburgh School of Health and Rehabilitation Sciences is a nationally renowned leader in the field of health care education, research, and clinical practice preparation. SHRS has 14 different disciplines related to health and rehabilitative care.

The Department of Rehabilitation Science and Technology is seeking a Data Analyst to conduct primary statistical analyses in support of the study aims, including Cox proportional hazards regression for time-to-eligibility outcomes, Poisson/negative binomial models for diagnostic utilization, and linear regression for patient satisfaction outcomes. Responsibilities will include applying machine learning and clinical NLP techniques (e.g., gradient boosting, GPT-2 embeddings) as appropriate. Analyses will be reproducible, well-documented, and completed on schedule to support publications and grant deliverables. The candidate will support preparation of the follow-on grant applications and other grant submissions through preliminary data analysis, results visualization, and manuscript drafting. The candidate will also contribute to peer-reviewed publications as appropriate.

Job Summary

Evaluates business requirements and performs complex data integration and analysis utilizing highly advanced analytical methods while developing advanced and highly complex analytical and reporting tools. Coordinates data projects, provides technical support, and participates in funding development.

Essential Functions

• Build and maintains ETL pipelines to extract, clean, and integrate data from VA Corporate Data Warehouse (CDW), Managerial Cost Accounting (MCA), and collected study data.
• Datasets to be delivered in analysis-ready format with documented provenance.
• Data quality issues are identified and resolved promptly with clear version control.

Physical Effort

Primarily sedentary work involving computer. Occasional lifting (under 10 pounds). No unusual physical demands.

Assignment Details

• Assignment Category: Full-time regular
• Job Classification: Staff.Data Analyst IV
• Job Family: Information Technology
• Job Sub Family: Analytics
• Campus: Pittsburgh
• Minimum Education Level Required: Master's Degree
• Minimum Years of Experience Required: 7
• 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. to 5:00 p.m.
• Work Arrangement: Hybrid: Combination of On-Campus and Remote work as determined by the department.
• Hiring Range: To be determined based on qualifications
• Relocation Offered: No
• Visa Sponsorship Provided: Yes
• 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: Cover Letter

Equal employment opportunity, including veterans and individuals with disabilities.