University of South Florida Libraries
Assistant Professor Faculty Position – Genetic Epidemiology, Multi-Omics, and Bi
University of South Florida Libraries, Tampa, Florida, us, 33646
Overview
Assistant Professor Faculty Position – Genetic Epidemiology, Multi-Omics, and Bioinformatics. Location: Tampa, FL (12901 Bruce B Downs Blvd, Tampa, FL 33612, US). Responsibilities
Use bioinformatics and machine learning tools to analyze high-throughput omic data, including WGS, GWAS, DNA methylation, RNA-seq, lipidomics, gut microbiome data, etc. Perform analyses to examine how multiomic markers are associated with Alzheimer’s disease, diabetes, and cardiovascular disease. Develop and implement methods for integrative analysis of available multiomic data, including genomic, epigenomic, transcriptomic, lipidomic, proteomic, and metabolomic data. Prepare manuscripts, grant proposals, and scientific meetings presentations. Qualifications
Minimum Qualifications: All candidates must have earned a Ph.D. degree in Bioinformatics, Biostatistics/Statistics, Statistical Genetics, Genetic Epidemiology, or a related discipline, and have demonstrated productivity and leadership in their chosen field, and should complement existing strengths in the Institute, which include epidemiology, biostatistics, statistical genetics, and bioinformatics. The successful candidate will have also demonstrated excellence and creativity in research. Must meet university criteria for appointment to the rank of Assistant, Associate, or Full Professor. For Assistant/Associate Professor - Normally will have produced creative work, professional writing or research in refereed and other professional journals and be a recognized authority in the field of specialization. Preferred Qualifications: Working knowledge of programming proficiency in R or Python and shell scripting on UNIX/Linux environments, particularly with large data files in various formats. Experience in analysis of human sequence data using bioinformatics tools (e.g., trimmomatic, bowtie, SAMtools, GATK, Picard, HOMER) and genetic databases (Ensembl Genes, 1000 Genomes, ESP, HapMap). Working knowledge of statistical genetics will be a plus. Excellent written and verbal communication skills. About Us
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. In 2025, Forbes recognized USF as one of Florida’s best large employers, ranked No. 1 among the state’s 12 public universities. Our benefits package includes medical, dental and life insurance plans, retirement plan options, employee and dependent tuition programs, generous leave, and 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. USF Health Morsani College of Medicine is ranked No. 1 in Florida and in the highest tier nationwide. USF is a member of the AAU. With strong research funding and impact, USF aims to transform lives and contribute to the economy. Learn more at www.usf.edu. Compliance and Federal Notices
This position may be subject to a Level 1 or Level 2 criminal background check. Equal Employment Opportunity The University of South Florida is an equal opportunity employer that does not discriminate against any employee or applicant for employment based on any characteristic protected by law. The University maintains programs for protected veterans and individuals with disabilities in accordance with all applicable federal and state laws. Family and Medical Leave Act (FMLA) accommodations: Applicants for USF employment are entitled to request reasonable accommodation(s) in the application process. A request should be made at least five (5) working days prior to the time the accommodation is needed. Details are available through the Central Human Resources ADA Accommodations webpage.
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Assistant Professor Faculty Position – Genetic Epidemiology, Multi-Omics, and Bioinformatics. Location: Tampa, FL (12901 Bruce B Downs Blvd, Tampa, FL 33612, US). Responsibilities
Use bioinformatics and machine learning tools to analyze high-throughput omic data, including WGS, GWAS, DNA methylation, RNA-seq, lipidomics, gut microbiome data, etc. Perform analyses to examine how multiomic markers are associated with Alzheimer’s disease, diabetes, and cardiovascular disease. Develop and implement methods for integrative analysis of available multiomic data, including genomic, epigenomic, transcriptomic, lipidomic, proteomic, and metabolomic data. Prepare manuscripts, grant proposals, and scientific meetings presentations. Qualifications
Minimum Qualifications: All candidates must have earned a Ph.D. degree in Bioinformatics, Biostatistics/Statistics, Statistical Genetics, Genetic Epidemiology, or a related discipline, and have demonstrated productivity and leadership in their chosen field, and should complement existing strengths in the Institute, which include epidemiology, biostatistics, statistical genetics, and bioinformatics. The successful candidate will have also demonstrated excellence and creativity in research. Must meet university criteria for appointment to the rank of Assistant, Associate, or Full Professor. For Assistant/Associate Professor - Normally will have produced creative work, professional writing or research in refereed and other professional journals and be a recognized authority in the field of specialization. Preferred Qualifications: Working knowledge of programming proficiency in R or Python and shell scripting on UNIX/Linux environments, particularly with large data files in various formats. Experience in analysis of human sequence data using bioinformatics tools (e.g., trimmomatic, bowtie, SAMtools, GATK, Picard, HOMER) and genetic databases (Ensembl Genes, 1000 Genomes, ESP, HapMap). Working knowledge of statistical genetics will be a plus. Excellent written and verbal communication skills. About Us
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. In 2025, Forbes recognized USF as one of Florida’s best large employers, ranked No. 1 among the state’s 12 public universities. Our benefits package includes medical, dental and life insurance plans, retirement plan options, employee and dependent tuition programs, generous leave, and 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. USF Health Morsani College of Medicine is ranked No. 1 in Florida and in the highest tier nationwide. USF is a member of the AAU. With strong research funding and impact, USF aims to transform lives and contribute to the economy. Learn more at www.usf.edu. Compliance and Federal Notices
This position may be subject to a Level 1 or Level 2 criminal background check. Equal Employment Opportunity The University of South Florida is an equal opportunity employer that does not discriminate against any employee or applicant for employment based on any characteristic protected by law. The University maintains programs for protected veterans and individuals with disabilities in accordance with all applicable federal and state laws. Family and Medical Leave Act (FMLA) accommodations: Applicants for USF employment are entitled to request reasonable accommodation(s) in the application process. A request should be made at least five (5) working days prior to the time the accommodation is needed. Details are available through the Central Human Resources ADA Accommodations webpage.
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