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Research team NIH-funded R01 grants to analyze -scale genomic, multi-omics, and EHR-linked

Job in Nashville, Davidson County, Tennessee, 37247, USA
Listing for: Vanderbilt Medical Group
Full Time position
Listed on 2026-09-20
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist, Genetics / Genomics
Salary/Wage Range or Industry Benchmark: 52000 - 68000 USD Yearly USD 52000.00 68000.00 YEAR
Job Description & How to Apply Below
Position: Join a research team with multiple NIH-funded R01 grants to analyze large-scale genomic, multi-omics, and EHR-linked

Join a research team with multiple NIH-funded R01 grants to analyze large-scale genomic, multi-omics, and EHR-linked data. The position focuses on disease gene discovery, AI-driven target identification, drug repurposing, and translational precision medicine research.

Department Medicine

Full Description

Postdoctoral Research Fellow Position

Description:

We are seeking a highly motivated Postdoctoral Research Fellow to join our multidisciplinary team at the Vanderbilt Epidemiology Center ((Use the "Apply for this Job" box below).). Our research program is supported by multiple NIH-funded R01 grants and focuses on leveraging large-scale genomics, multi-omics, and EHR-linked biobank data to uncover the molecular mechanisms underlying cancer and other complex diseases. Major areas of research include genetic discovery, causal gene and pathway identification, multi-omics integration, AI-driven therapeutic target discovery, drug repurposing, and precision medicine.

Qualifications:

Applicants should hold a PhD (or equivalent) in genetics, genomics, bioinformatics, computational biology, biostatistics, data science, or a related field. Strong programming skills in Python, R, or Perl within Unix/Linux environments are required. Experience with large-scale genomic, multi-omics, biobank, or EHR data is highly desirable.

Key Responsibilities:
  • Analyze large-scale genomic, multi-omics, and EHR-linked datasets.
  • Develop and apply statistical, bioinformatics, and AI methods to identify disease-associated variants, genes, pathways, and biomarkers.
  • Integrate genomics, transcriptomics, proteomics, and other omics data to elucidate disease mechanisms.
  • Prioritize therapeutic targets and perform drug repurposing analyses using genomic and pharmacogenomic and large EHR resources.
  • Collaborate with national and international research consortia.
  • Lead manuscript preparation, present research findings, and contribute to grant applications.
  • Develop innovative research projects in precision medicine and translational genomics.
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