Open Rank-Senior Statistical Data Analyst

Open Rank Faculty BiostatisticianThe Department of Medical Education seeks an open-rank faculty biostatistician to support the Research, Innovation, and Scholarly Endeavors (RISE) office. This position provides advanced biostatistical and methodological expertise to faculty, trainees, and research teams across USF Health and affiliated institutions.

Responsibilities include study design, protocol development, database management, statistical analysis, power and sample size calculations, and interpretation of research findings. The faculty member will collaborate with investigators throughout all phases of clinical and translational research, including regulatory submissions, data collection, manuscript preparation, and dissemination of results. The position will support grant development and enhance research productivity through rigorous analytic support and interdisciplinary collaboration. In addition, the faculty member will teach statistics and clinical research methods, mentor learners and investigators, and serve as a resource for faculty and staff engaged in scholarly activities. This role is integral to advancing the research mission and strengthening institutional research capacity and competitiveness.Candidates are sought for a Senior Statistical Data Analyst professional open-rank faculty position at the Morsani College of Medicine (MCOM) Department of Medical Education (DME) - Research, Innovation, and Scholarly Endeavors (RISE) Office. While the position contributes to research projects and may participate in scholarly products such as abstracts, presentations, and manuscripts, its primary responsibility is to provide statistical research support rather than independently develop or lead a program of research. This position provides advanced biostatistical and methodological expertise to faculty, trainees, and research teams across USF Health and affiliated institutions.

Responsibilities include study design, protocol development, database management, statistical analysis, power and sample size calculations, and interpretation of research findings. The faculty member will collaborate with investigators throughout all phases of clinical and translational research, including regulatory submissions, data collection, manuscript preparation, and dissemination of results. The position will support grant development and enhance research productivity through rigorous analytic support and interdisciplinary collaboration. In addition, the faculty member will teach statistics and clinical research methods, mentor learners and investigators, and serve as a resource for faculty and staff engaged in scholarly activities. This role is integral to advancing the research mission and strengthening institutional research capacity and competitiveness.Responsibilities:Research:Provide research support to MCOM faculty, Tampa General Hospital investigators, and researchers at USF affiliates such as Moffitt Cancer Center, Tampa VA, etc.Manage large datasets and perform complex data analyses, especially using SQL, R, SAS, SPSS, STATA, etc.Calculate power and sample size for research studies using appropriate software such as PASS, G*Power, etc.Manage all databases, draft a research protocol, develop standardized data extraction forms, extract data from published literature or institutional databases, and perform complex data analysis.Draft applications to secure Institutional Review Board approval.Work with investigators, clinical research coordinators, and other biostatisticians on all research project data collection and analysis requirements.Prepare manuscripts.Present data at local and national meetings.Accountable for the timely submission of progress reports and final reports for relevant projects.Maintain a quality assessment program, including data checking and data storage in electronic and hard copy formats.Support grant development.Teaching:Teach statistics and related topics and serve as a small-group preceptor at the Morsani College of Medicine (MCOM).Conduct training sessions in statistics/clinical research methods/clinical study design for undergraduate and graduate medical education.Train new staff and serve as a resource for the MCOM faculty and staff on designated topics.Administrative:Assist with execution of RISE events.Serve on committees or working groups.Administrative oversight associated with research activities.Other:Participate as a team member on RISE projects and assist with RISE events.Other duties as assigned in support of the RISE Office mission.Qualifications:Minimum:Master's degree from an accredited institution in Biostatistics, Statistics, Epidemiology, Data Science, Public Health, or a related quantitative fieldQualifications must meet University criteria for appointment to an academic faculty rank commensurate with education, experience, and scholarly accomplishments.Demonstrated experience in statistical analysis, study design, and data management in a research, healthcare, academic, or related environment.Proficiency in at least one major statistical programming or analytical software package, such as R, SAS, SPSS, STATA, or equivalent.Experience managing and analyzing research, clinical, administrative, or other large datasets.Knowledge of statistical methodologies commonly used in clinical, translational, health sciences, or population-based research.Ability to communicate complex statistical concepts and analytical results to investigators and non-statistical audiences.Demonstrated ability to work collaboratively with multidisciplinary teams and manage multiple projects simultaneously.Strong written and verbal communication skills.Preferred:Ph.D. in Biostatistics, Statistics, Epidemiology, Data Science, or a closely related quantitative discipline.Demonstrated experience providing biostatistical support for clinical, translational, health outcomes, or population health research.Experience collaborating with multidisciplinary research teams in academic medical centers, hospitals, Veterans Affairs (VA) systems, or other healthcare settings.Proficiency in multiple statistical software packages, including R, SAS, SPSS, STATA, SQL, or equivalent analytical tools.Experience managing, integrating, and analyzing large clinical, administrative, or research datasets.Demonstrated expertise in study design, protocol development, power and sample size calculations, and statistical analysis plan development.Track record of scholarly contributions, including peer-reviewed publications, presentations at regional or national meetings, and manuscript development.Experience supporting the preparation of grant proposals and funding applications, including NIH, VA, or other federal and foundation-sponsored research.Experience teaching statistics, research methods, epidemiology, or related subjects to medical students, residents, fellows, graduate students, or healthcare professionals.Excellent written and verbal communication skills, with the ability to effectively communicate complex statistical concepts to diverse audiences.Evidence of sustained scholarly achievement and a record of independent or collaborative research that meets criteria for appointment at the Assistant, Associate, or Full Professor rank.