Postdoctoral Scholar Research

Overview

The Health Informatics Institute (HII) at the University of South Florida is excited to announce multiple postdoctoral positions, available immediately. We are seeking highly motivated candidates with strong backgrounds in Statistical Genetics, Bioinformatics, Data Science, Genetic Epidemiology or related fields to join our team. The successful candidates will work on NIH-funded projects aiming to understand disease mechanisms and identify biomarkers for Alzheimer's Disease, type 1 and type 2 diabetes, and cardiovascular diseases.

Our research utilizes high-dimensional omics data, including genomic, epigenomic, transcriptomic, lipidomic, metabolomic, and metagenomic data, from large human populations. The successful candidates will lead research projects, conducting integrated multi-omics analysis using state-of-the-art statistical, bioinformatic, and machine learning approaches to uncover disease mechanisms and molecular pathways associated with these complex disorders. Successful candidates will also engage in close collaboration with a diverse team of interdisciplinary experts, including faculty from the Health Informatics Institute (HII) at the University of South Florida, and the Moffitt Cancer Center.

• Analyze high-throughput omics data (e.g., GWAS, WGS, RNA-seq, methylation, lipidomics, microbiome, single-cell).
• Develop and implement novel statistical and machine learning methods for multi-omics integration.
• Prepare manuscripts for peer-reviewed journals, assist with grant writing, develop independent grant proposals, and deliver presentations at scientific conferences.
• Collaborate within interdisciplinary teams and work independently.

MINIMUM QUALIFICATIONS:

Doctoral degree from an accredited institution and appropriate experience and training within a selected area of specialization. Must meet university criteria for appointment to the rank of Postdoctoral Fellow.

PREFERRED QUALIFICATIONS:

• Ph.D. in Bioinformatics, Biostatistics/Statistics, Statistical Genetics, Genetic Epidemiology or related fields.
• Strong record of peer-reviewed publications.
• Excellent written and verbal communication skills.
• Proficiency in shell scripting and programming (R, Python, C, C++, or Java) within UNIX/Linux environments, especially for handling large, diverse data files.
• Experience analyzing human sequence data using bioinformatics tools (e.g., SAMtools, GATK, Picard) and genetic databases (e.g., Ensembl Genes, 1000 Genomes, ESP, Hap Map).
• While not required, prior experience in multi-omics data analysis is highly desirable

Working at USF

With approximately 16,000 employees, the University of South Florida is one of the largest employers in the Tampa Bay area. We are dedicated to cultivating a talented, engaged and driven workforce that strives to be bold. Employees excel in USF‘s rich academic environment, which fosters their development and advancement. In 2025, Forbes recognized USF as one of Florida’s best large employers, ranked No.

1 among the state’s 12 public universities. Our first-class benefits package includes medical, dental and life insurance plans, retirement plan options, employee and dependent tuition programs, generous leave, and hundreds of employee perks and discounts.

About USF

The University of South Florida is a top-ranked research university serving approximately 50,000 students from across the globe at campuses in Tampa, St. Petersburg, Sarasota-Manatee and USF Health. USF is recognized by U.S. News & World Report as a top 50 public university and the best value in Florida. U.S. News also ranks the USF Health Morsani College of Medicine as the No.

1 medical school in Florida and in the highest tier nationwide. USF is a member of the Association of American Universities (AAU), a group that includes only the top 3% of universities in the U.S. With an all-time high of $738 million in research funding in 2024 and as a top 20 public university for producing U.S. patents, USF uses innovation to transform lives and shape a better future.

The university generates an annual economic impact of more than $6 billion. USF’s Division I athletics teams compete in…