OPS Data Scientist II

Classification Title:	OPS Data Scientist II
Classification Minimum Requirements:	Bachelor’s degree in data science, computational biology, computer science, statistics, bioinformatics, analytics, or similar field and three years of experience; Master’s degree in data science, statistics, bioinformatics, analytics, or similar field and one year of experience; Doctoral Degree in data science, statistics, bioinformatics, analytics, or similar field.
Job Description:	This part-time OPS Data Scientist II will operate in the Administrative Core for the Cardiovascular Repository-Type 1 Diabetes (CaRe-T1D) in the Department of Pathology, Immunology and Laboratory Medicine. The incumbent will be responsible for database management and bioinformatic analysis, interfacing with multiple data platforms to ensure accurate processing and reporting of multivariate datasets, fluorescent and brightfield imaging, and genomic, transcriptomic, and proteomic datasets with potential expansion to a wide range of data types and structures. The incumbent will also work closely with collaborators to design, maintain, and curate data within the CaRe-T1D data portal, ensuring data quality, consistency, and accessibility across the network.

• Act as a database administrator for the CaRe-T1D Administrative Core and Organ Processing and Pathology Core (OPPC). Manage multi-user data access and retrieval platforms, including Amazon DynamoDB, Microsoft Access and Excel, Aperio eSlide Manager, LabKey, and REDCap. Enhance and curate data repositories and laboratory LIMS. Develop and maintain data dictionaries, metadata standards, and documentation procedures to ensure data consistency, traceability, and interoperability across research databases and collaborative platforms according to FAIR data principles. Work closely with CaRe-T1D investigators and collaborators to support the design, development, maintenance, and curation of the CaRe-T1D data portal, ensuring data quality, consistency, and accessibility across the network.

• Validate, perform quality control (QC), and manage integration of large-scale datasets generated by multiple parameter bioanalytical platforms, including but not limited to scRNASeq, imaging cytometry, flow cytometry, genomics, and proteomics datasets from collaborators and CaRe-T1D investigators. Support the implementation of data access controls, de-identification procedures, and secure data-sharing practices in accordance with institutional policies and applicable research data requirements.

• Assist in enhancing data summaries and reporting using analytical tools and methods, including machine learning, neural networks, and artificial intelligence (AI). Contribute to the development of analytical tools and recommend best practices for data management and design improvements. Provide technical support and guidance to investigators, staff, and external collaborators on data submission, curation, quality control, and retrieval across supported platforms. Assist project leadership in presenting information through data visualization and appropriate summarization.

• Conduct bioinformatic data analyses and develop statistical programming code using R, Python, C++, Unix, SQL or other programming languages as required by project initiatives.

• Provide statistical expertise and effectively communicate and present information through data visualization and appropriate data summaries to technical and non-technical audiences, including faculty, staff, collaborators, postdoctoral researchers, and students.

• Interface with UF HiPerGator and other collaborative platforms to support the storage and processing of various types of collected data.

This is a part-time position. Workdays are Monday through Friday. Occasional work outside normal hours may be requested to meet critical deadlines or accommodate computing needs.

Expected Salary:

$36.00 - $40.95 per hour; commensurate with education and experience

Required Qualifications:

Bachelor’s degree in data science, computational biology, computer science, statistics, bioinformatics, analytics, or similar field and three years of experience; Master’s degree in data science, statistics, bioinformatics, analytics, or similar field and one year of experience; Doctoral Degree in data science, statistics, bioinformatics, analytics, or similar field.

Preferred:

• The ability to independently excel in logical thinking, time management, decision-making, and problem-solving to be able to manage multiple programs and priorities simultaneously.

• Knowledge of AI-driven analytical tools and understanding of machine learning techniques and implementation, with application in biological data analysis.

• Expertise in communicating complex biological data and analyses to lay or academic partners, in project development and reporting.

• Experience analyzing omics data processing, gene expression, cell and tissue imaging, and other molecular biology datasets.

• Experience with automating data workflows, data cleaning, and data visualization.

• Diverse skills in data management, programming, and statistical methods; experience with Linux, Python, R, and SQL for querying data.

• Proficiency with statistics commonly applied in bioinformatics, biostatistical, and biomedical research.

Special Instructions to Applicants:

In order to be considered, you must upload your cover letter and resume.

This is a part-time position.

Application must be submitted by 11:55 p.m. (ET) of the posting end date.

Health Assessment Required: No

 

Advertised: 10 Nov 2026 Eastern Standard Time
Applications close: 17 Nov 2026 Eastern Standard Time

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