Data Scientist II
GSPH-Human Genetics - Pennsylvania-Pittsburgh - (26003243)
The University of Pittsburgh School of Public Health (PI: Dr. Ryan Minster) is seeking
a highly motivated Data Scientist II 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, MSDIAL,
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
Performs research, analysis, and modeling on organizational data and data sets utilizing advanced statistical methods to mine and analyze complex and unstructured data sets. Offers complex analysis and utilizes advanced algorithms and statistical software. 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 II
Job Family: Research
Job Sub Family: Data Science
Campus: Pittsburgh
Minimum Education Level Required: Master's Degree
Minimum Years of Experience Required: 3
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: To be determined based on qualifications
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
PI284759598