Contract Postdoc Biostatistics Jobs (NOW HIRING)

The biostatistician postdoctoral fellow will provide advanced statistical expertise to support imaging-based research across clinical and translational domains within the QUANTX Center. This role focuses on leading study design, performing quantitative analyses of complex, multimodal datasets, and developing reproducible analytical pipelines and analysis-ready data structures to enable high-impact scientific discovery. 

The fellow will collaborate with multidisciplinary teams of radiologists, neuroscientists, data scientists, and biostatisticians to support research spanning neuroimaging, breast, prostate, and whole-body imaging, as well as AI-driven and quantitative imaging analytics. This position offers a highly collaborative, data-intensive environment with opportunities to contribute to grant development, publications, and the advancement of innovative methodologies in precision medicine.

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:
    PhD in Statistics, Biostatistics, Bioinformatics, or a closely related quantitative field
Preferred Qualifications:
    Experience working with neuroimaging or other medical imaging modalities (e.g., MRI, fMRI, DTI, CT)
    Experience integrating multimodal datasets (e.g., imaging, behavioral, clinical, physiological data
    Familiarity with statistical validation techniques for predictive modeling (e.g., ROC, AUC, cross-validation)
    Experience support grant submissions (e.g., NIH, DoW) and contributing to peer-reviewed publications
    Exposure to AI-driven or quantitative imaging pipelines
    Prior experience working in multidisciplinary research teams or shared research core environments     Demonstrated expertise in statistical programming using R, SAS, SPSS, and/or Python
    Strong foundation in advanced statistical methodologies, including modeling of complex and high-dimensional data
    Familiarity with analysis of biomedical and/or imaging datasets
    Working knowledge of ML methods and their application in research settings
    Ability to develop reproducible workflows and maintain well-documented code

Special Skills/Trainings:
    Strong analytical problem-solving skills with attention to detail and data integrity
    Ability to communicate complex statistical concepts to clinical dn non-technical audiences
    Strong organizational and project management skills in a collaborative research setting
    Commitment to reproducible research practices and data governance standards

Additional Application Materials Required: 
     Curriculum Vitae (CV)
    Cover letter outlining research interests, technical expertise, and relevant experience
    (Optional) Representative publications or code samples

Special Instructions to the Applicants:
    Applications will be reviewed on a rolling basis until filled
    Candidates should highlight experience with statistical modeling, reproducible workflows, and any imaging or AI-related research
    Interest in translational research and multidisciplinary collaboration is strongly encouraged 
 

Responsibilities:

1. Study Design and Experimental Planning

   • Collaborate with investigators to design statistically rigorous imaging studies, including cross-sectional, longitudinal, and interventional designs

   • Perform power calculations and sample size estimation for imaging-based endpoints

   • Define primary and secondary study endpoints aligned with research objectives

   • Develop comprehensive statistical analysis plans (SAPs) for grant submissions and IRB protocols

2. Quantitative Imaging Data Analysis

   • Apply advanced statistical methodologies, including linear and nonlinear mixed-effects models, to imaging datasets

   • Conduct multivariate and high-dimensional data analyses appropriate for complex biomedical data

   • Perform statistical analyses of time-series data, including functional imaging and longitudinal measures

   • Translate complex quantitative results in actionable insights for clinical and translational research

3. Integration with AI and Quantitative Imaging Pipelines

   • Collaborate with data scientists and imaging specialists to integrate statistical rigor into ML and AI-driven workflows

   • Develop and implement statistical frameworks for model validation, including ROC, AUC, calibration, and decision curve analyses

   • Ensure robustness and generalizability of predictive models by addressing overfitting, bias, and validation strategies

   • Contribute to multimodal data integration efforts across imaging, behavioral, and clinical datasets

4. Reproducible Research and Data Management

   • Develop and maintain reproducible analytical pipelines in R, SAS, SPSS, and/or Python

   • Ensure adherence to FAIR (Findable, Accessible, Interoperable, Reusable) data principles

   • Maintain version-controlled code repositories and comprehensive documentation to support transparency and reproducibility

   • Support development of analysis-ready datasets and standardized data structures for downstream analyses

5. Collaborative Research and Scientific Contribution

   • Provide statistical consultation to Core users and affiliated investigators across multidisciplinary teams

   • Participate in imaging core meetings and collaborative research initiatives

   • Contribute to manuscript preparation, conference abstracts, and peer-reviewed publications

   • Support development of competitive grant applications (federal and nonprofit)

   • Mentor trainees and junior investigators in statistical methods and reproducible research practices

   • Assist in development of workshops and education activities within the Center