Health Informatics Jobs in Florida (NOW HIRING)

The Health Informatics Institute (HII) at the University of South Florida is seeking to fill a non-tenure earning position as an Assistant, Associate or Full Professor rank, dependent upon qualifications. The Institute is NIH funded as a data coordinating center for several large clinical networks and actively participates in the design and conduct of epidemiological studies and clinical trials. 
This position will conduct collaborative research and provide active support for ongoing Institute activities, especially the TrialNet type 1 diabetes study. Opportunities exist for collaborations in other NIH funded and privately funded type 1 diabetes research and disease prevention projects. The Institute is seeking candidates with expertise in clinical trials; however expertise/experience with longitudinal and high dimensional data are sought after as well. Opportunities exist for teaching and graduate student mentoring, if desired.
The level of appointment will be commensurate with qualifications and experience and salary will be based upon the University of South Florida pay scale. Individuals with 5 or more years of experience are preferred. The incumbent has potential to take a leadership role in the Institute and become the Principal Investigator of one or more studies.
About the Health Informatics Institute
The HII is comprised of a diverse team of 30 faculty and more than 120 staff with expertise in biostatistics, epidemiology, health informatics, computer science, genetics, nutrition, psychology, pediatrics, public health, clinical trials, and health services research. With funding from the National Institutes of Health, industry, and other sources, the Institute provides the technical means to facilitate interaction and contributions in knowledge among physicians and patients throughout the U.S. and international communities. By strengthening this vital network, the Institute aims to improve research on many different types of diseases. For more information about the HII, please visit  http:://www.hii.usf.edu 

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 the American Athletic Conference. 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.

Applicants have rights under Federal Employment Laws: 

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)

Applicants for USF employment are entitled to request reasonable accommodation(s) in the application process. A request is to be made at least five (5) working days prior to the time the accommodation(s) is needed. Visit the Central Human Resources ADA Accommodations webpage for more information on requesting an accommodation during the application/interview process.

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 affirmative action programs for protected veterans and individuals with disabilities in accordance with all applicable federal and state laws.  This job description does not constitute an employment contract.  

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.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.

• 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.