Data Scientist III

GSPH-Human Genetics - Pennsylvania-Pittsburgh - (26001182)

The University of Pittsburgh School of Public Health (PI: Dr. Ryan Minster) is seeking a highly motivated Data Scientist III with expertise in lipidomics data processing to join an interdisciplinary research team focused on cardiometabolic health in Pacific Islander populations. This position is supported by an NIH-funded project, “Lipidomics and Structural Genomics of Cardiometabolic Health in Samoan Adults.” The study integrates comprehensive liquid chromatography mass spectrometry (LC-MS)-based lipidomic profiling, genome-wide genotype data, structural genetic variation data, and clinical phenotypes in more than 4,000 Samoan adults from Samoa and American Samoa. The primary responsibility of this role is to lead and maintain lipidomics data processing and quality control workflows, while also contributing to genomic, structural variant, and integrative multi-omics analyses. In conjunction with these data responsibilities, the candidate will communicate with investigators and lipidomics laboratory staff to facilitate project progress, participate in regular research team meetings to share progress updates and data interpretation, and support research products, including grant proposals, scientific presentations, and manuscripts.

Qualifications preferred

Experience with lipidomics vendor software or preprocessing tools (e.g., LipidSearch, MS-DIAL, XCMS, or similar)

Familiarity with genome-wide genotype / structural variant datasets

Experience with multi-omics or integrative analysis

Experience contributing to manuscripts or collaborative research projects

Job Summary

Oversees large, complex data sets and utilizes advanced programming methods and statistical software for raw data extraction and aggregation, statistical analysis, and document programming to create analytic data files. Creates statistical reports; assists with manuscripts, grants, and regulatory submissions. Maintains data infrastructure and tracks data assets. Adheres to all protocols.

Essential Functions

1. The position was created for the purpose of performing the function or job duty;
2. There are a limited number of employees available who could perform the function or job duty; and/or
3. The function or job duty is highly specialized and the position requires a special expertise or ability to perform the job duty.

Physical Effort

Must be able to work on a computer, sitting or standing, for prolonged periods of time.

Assignment Category: Full-time regular

Job Classification: Staff.Data Scientist III

Job Family: Research

Job Sub Family: Data Science

Campus: Pittsburgh

Minimum Education Level Required: Master's Degree

Minimum Years of Experience Required: 6

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.

Additional details about Required Licensure/Certification: Master’s degree or higher in Bioinformatics, Biostatistics, Analytical Chemistry, Computational Biology, Data Science, or related field Demonstrated hands-on experience processing lipidomics or metabolomics data from LC-MS platforms Experience with high-dimensional biological datasets, including data cleaning, quality control, and reproducible workflows Strong programming skills in R or another programming language

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: $58,979 to $72,000

Relocation_Offered: Yes

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