OPS Biostatistics Analyst

University of FloridaGainesville, FL
7d$25 - $35

About The Position

The Department of Epidemiology is seeking a part-time OPS Biostatistics Analyst. This position will be responsible for verifying and cleaning longitudinal datasets and merging behavioral, clinical, and biomedical variables. This individual will assist the PI with aligning data formats and statistical assumptions. This position is key to driving innovating health sciences research throughout the department and will work with a variety of collaborators to collect, analyze and interpret conclusions for data. Duties and responsibilities include, but are not limited to:

Requirements

  • Bachelor’s degree in Statistics, Biostatistics, Epidemiology or related field.

Nice To Haves

  • Master’s degree in Statistics, Biostatistics, Epidemiology or related field.
  • Proficiency in R and SAS macro programming.
  • Strong analytic reasoning, documentation, and ability to communicate complex methods/results clearly.
  • Experience analyzing longitudinal, multi-domain datasets
  • Prior exposure to clinical studies, especially longitudinal designs.
  • Familiarity with data-sharing platforms (REDcap, dbGap) and version control (Git).

Responsibilities

  • Data Cleaning & Architecture Verify and clean longitudinal datasets, merge behavioral, clinical, and biomedical variables Implement reproducible data pipelines in R and SAS/STATA (data dictionaries, code versioning).
  • Statistical Modeling & Inference Design and implement a spectrum of analytic approaches, including: Cross-sectional and multivariable analyses Longitudinal mixed-effects models (linear, generalized linear) to evaluation change over time Data-science techniques such as random forests, gradient-boost trees, LASSO/elastic-net regularization, and unsupervised clustering to uncover complex, high-dimensional patterns Dimensionality-reduction techniques such as PCA, t-SNE, UMAP and feature-selection pipelines to prepare data for predictive modeling. Validate models via cross-validation, bootstrapping, and by assessing model assumptions and diagnostics.
  • Visualization & Reporting Generate publication-ready figures and tables with appropriate statistical annotations Draft methods sections for manuscript and grant proposals
  • Collaboration & Communication Coordinate with the Bioinformatics Analyst, Graduate Research Assistants, and Faculty to align data formats and statistical assumptions Attend weekly team meetings and present analytic findings
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