OPS Bioinformatics I

Description
Include in this category persons employed for the primary purpose of performing academic support, student service and institutional support activities and whose assignments would require either college graduation or experience of such kind and amount as to provide a comparable background. Include employees such as librarians, accountants, personnel, counselors, system analysts, coaches, lawyers, and pharmacists.



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.
•    Senate Bill 1310- The Florida Senate (https://www.flsenate.gov/Session/Bill/2023/1310) is conditional upon meeting all employment eligibility requirements in the U.S.
•    SB 1310: Substitution of Work Experience for Postsecondary Education Requirements
•    A public employer may include a postsecondary degree as a baseline requirement only as an alternative to the number of years of direct experience required, not to exceed:
(a) Two years of direct experience for an associate degree;
(b) Four years of direct experience for a bachelor’s degree;
(c) Six years of direct experience for a master’s degree;
(d) Seven years of direct experience for a professional degree; or
(e) Nine years of direct experience for a doctoral degree
•    Related work experience may not substitute for any required licensure, certification, or registration required for the position of employment as established by the public employer and indicated in the advertised description of the position of employment.
•    Minimum Qualifications that require a high school diploma are exempt from SB 1310.

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.