OPS Bioinformatics I

About Us

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.

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.

Responsibilities

• Perform computational analysis of spatial transcriptomics datasets, including 10x Genomics Visium, Visium HD, Xenium, and related spatial omics platforms.
• Analyze single-cell RNA sequencing and other next-generation sequencing datasets using established and novel bioinformatics pipelines.
• Integrate multi-omics datasets, including spatial transcriptomics, single-cell genomics, imaging, lipidomics, metabolomics, and microbiome data to generate biological insights.
• Develop, optimize, and implement new computational methods, analysis workflows, and visualization tools for spatial and multi-omics research.
• Maintain reproducible analysis pipelines using R, Python, and high-performance computing resources.
• Prepare publication-quality figures, data visualizations, presentations, technical reports, and documentation for manuscripts, grant applications, scientific meetings, and project updates.
• Contribute to manuscript preparation through data analysis, figure generation, methods documentation, and interpretation of computational results.
• Assist with laboratory operations related to genomics and spatial omics workflows, including data management, quality control, and coordination between laboratory and computational activities.
• Train graduate students, staff, and collaborators in computational analysis, bioinformatics software, and best practices for genomic and spatial omics data analysis.
• Participate in collaborative research meetings and contribute to the design, execution, and interpretation of genomics and precision medicine research projects.
• Perform other research-related duties as assigned in support of the USF Genomics Program.

Qualifications

Minimum Qualifications: Performs work under direct supervision. Handles basic issues and problems, and refers more complex issues to higher-level staff. Possesses beginning to working knowledge of subject matter. Typically requires an advanced degree, and 0 to 2 years of experience.

Preferred Qualifications:

• Master's degree in Bioinformatics, Computational Biology, Computer Science, Data Science, or a related field.
• Experience analyzing single-cell and spatial transcriptomics datasets (Seurat, Scanpy, Harmony, or related software).
• Proficiency in R, Python, Linux, and high-performance computing environments.
• Experience with reproducible computational workflows, data visualization, and statistical analysis.
• Strong written and verbal scientific communication skills, with the ability to prepare presentations, reports, and publication-quality figures.
• Ability to work both independently and collaboratively in a multidisciplinary genomics research environment.

Benefits

• Medical, dental and life insurance plans
• Retirement plan options
• Employee and dependent tuition programs
• Generous leave
• Hundreds of employee perks and discounts