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University of South Florida – Assistant Professor of Statistics (AI & Drug Discovery)
Company NameUniversity of South Florida
Position TitleAssistant Professor of Statistics (AI & Drug Discovery)
Company Information
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,
and USF Health. In 2025, U.S. News & World Report recognized USF with its highest overall ranking
in university history, as a top 50 public university for the seventh consecutive year and as one of
the top 15 best values among all public universities in the nation. U.S. News also ranks the USF
Health Morsani College of Medicine in the highest tier, placing it as one of the top 16 medical
schools in the nation and inside the top 10 among public universities. 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 $750 million in research funding in 2025 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 nearly $10 billion for the state of
Florida. USF’s Division I athletics teams compete in the American Conference. Learn more at
www.usf.edu.
Duties and Responsibilities
The Department of Mathematics and Statistics at the University of South Florida seeks to fill a 9-month, full-time tenure-track Assistant Professor position in Statistics/Data Science on our Tampa campus with research interests in statistical methodology for Artificial Intelligence (AI) innovations on biomedical or pharmaceutical applications such as AI-enabled Drug Discovery and Development, starting August 7, 2027. To receive consideration, applications must be received no later than December 1, 2026. Salary is negotiable.
We seek an outstanding researcher whose work lies at the intersection of statistical science, AI, and biomedical or pharmaceutical applications, particularly data-driven approaches to AI-enabled drug discovery and development. The successful candidate will contribute to the department’s growing research initiatives in AI-enabled data science and health analytics and will be expected to collaborate on interdisciplinary projects with researchers from USF Department of Chemistry, USF Health Morsani College of Medicine and Taneja College of Pharmacy, as well as experts from Moffit Cancer Center and Tampa General Hospital.
Position Qualifications
Minimum qualifications include a doctoral degree from an accredited institution in Statistics, Biostatistics, Mathematics with a concentration in Statistics or other disciplines with strong background in theoretical statistics, with a demonstrated record of achievement in academic research, teaching, and service. Doctoral degree must be conferred by August 1, 2027. Must meet university criteria for appointment to the rank of Assistant Professor. Preference will be given to candidates who have a strong theoretical foundation in Statistics and research experience in AI for drug discovery, evidenced by a strong record of research with publications in statistical or related journals. Interdisciplinary collaborative experience is strongly valued.
Applicants must demonstrate evidence of, or potential for, excellence both in research and teaching; previous teaching experience is preferred. The candidate hired to this position will be expected to teach effectively at both undergraduate and graduate levels in Statistics, to maintain a vigorous research program, to seek external research funding, and to develop a satisfactory record of service.
Application Instructions
To apply, please visit https://www.usf.edu/work-at-usf/ (Job ID 44362) and attach a cover letter, CV, teaching philosophy, evidence of successful research and the names and contact information for three references. In addition, candidates should have at least three recommendation letters submitted through MathJobs.org.
Conclusion of this search is subject to final budget approval. According to Florida Law, applications and meetings regarding them are open to the public. USF is an Equal Opportunity/Equal Access Institution. For disability accommodations, contact Denise L. Marks at (813-974-9747/denise@usf.edu), a minimum of five working days in advance.