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| School: |
Public Health
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| Department: |
Human Genetics
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| Classification: |
Postdoctoral Associate |
| Funding source: |
NIH Grant |
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| Start Date: |
4/1/2026 |
| Overall Summary: |
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Duties or Responsibilities:
- Responsibilities:
1) Lipidomics data processing and analysis -
Lead processing and quality control of high-dimensional lipidomics data from raw files through analysis-ready datasets; Implement and optimize lipidomics preprocessing workflows (normalization, batch correction, feature filtering, annotation; Conduct statistical analyses linking lipidomic profiles with genetic and cardiometabolic phenotypes; Contribute to lipidome-wide association studies and integrative multi-omics analyses; Coordinate with lipidomics core laboratory as needed.
2) Computational and statistical workflows -
Develop and maintain reproducible analysis pipelines using R or other programming languages; Perform data quality diagnostics, including handling missing data, outlier detection, and sensitivity analyses; Conduct regression, mixed-effects, and high-dimensional modeling approaches; Support integration of lipidomics with genomic and structural variant datasets
3) Scientific collaboration -
Assist with interpretation of lipidomics findings in a cardiometabolic and population-health context; Contribute to manuscripts, abstracts, and grant proposals; Present findings at lab meetings and scientific conferences; Collaborate with an interdisciplinary team including nurse scientists, geneticists, statisticians, and epidemiologists
4) Professional Development -
Seek out and take advantage of training opportunities designed to prepare you for the next steps in your career.
5) Team science -
May assist with training members of our research group in R programming, statistical methods, and data management best practices; Help establish best practices for reproducible multi-omics data processing
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Qualifications or Expectations:
- Required
• PhD in Bioinformatics, Computational Biology, Biostatistics, Human Genetics, Analytical Chemistry, Metabolomics/Lipidomics, or a related field
• Strong programming skills, preferably in R
• Experience with statistical modeling and data analysis
• Ability to study, understand, and modify/extend existing lipidomics workflows by reading the literature, documentation, and computer code.
Preferred
• Demonstrated hands-on experience processing lipidomics or metabolomics data from raw LC-MS outputs
• Familiarity with multi-omics or integrative analysis
• Experience contributing to peer-reviewed publications
• Ability to work collaboratively in interdisciplinary research environments
Work Arrangement
• Hybrid flexibility available.
Application instructions
Applicants should submit:
• Cover letter describing research interests, relevant experience, and career goals
• Curriculum Vitae (CV)
• Contact information for three references
Review of applications will begin immediately and continue until the position is filled.
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