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Postdoctoral Scholar Research

University of South Florida

Job Description

Postdoctoral Scholar Research

Full Job Description

Dept Number/Name: 0-6408-005 / GHIDR

College Division: College of Public Health

Salary Plan: OPS Faculty

Job Code/Title: 9180/ Postdoctoral Scholar Research

Hiring Salary/Salary Range: Negoatiable

Position Number: 32610


COPH is organized into four Strategic Areas: Global and Planetary Health; Interdisciplinary Science and Practice; Policy, Practice and Leadership; and Population Health Science. Our faculty select their strategic area of interest and are encouraged to engage in transdisciplinary research and teaching with faculty from across the college. We are transforming curricula and degree programs at all levels; we are engaging in translational research and the translation of that research to practice; and we are committed to public health workforce and systems development, locally and around the world.


The Wildman lab seeks a highly motivated, critically thinking Postdoctoral Fellow to work on multiple interrelated projects involving the evolution of human health and disease. The successful candidate will be able to integate high dimensional datasets that also contain metadata. Next generation sequencing and publicly available data will be analyzed in a statistical probability framework. Code generated will be made publicly available via repositories. Statistical results will be summarized in graphs and tables and will form the basis of manuscripts and grant proposals that focus on comparative multiomics projects that focus on the emergence of important human phenotypes. Research results will be presented at internal and external meetings and conferences on a regular basis. The ideal candidate will be comfortable working with a diverse research group and a wide range of organisms. The Wildman lab is part of the newly established, rapidly growing Genomics Program located in the College of Public Health at the University of South Florida (USF), with rich opportunities for collaboration with investigators at local, national, and international levels.

Minimum Qualifications:

Ph.D. in a broadly defined data analytics field (e.g. life sciences, health sciences, computer sciences, engineering, statistics, mathematics). Experience with probability and statistics. Good written and oral communication skills. Ability to work as part of an interdisciplinary team.

Preferred Qualifications:

Skills in scripting and computer coding. Familiarity with standard programming languages and analytic tools (e.g. Python and R). Good understanding of principles of genetics and genomics. Ability to contribute to manuscript and grant proposal development and production. Ability to train undergraduate and graduate students in bioinformatic methods.


The primary duties and obligations of the appointment are to conduct genomic research in accordance with the needs of Dr. Wildman’s research program. This will involve undertaking original investigation of existing and forthcoming genomic datasets relevant to human evolution and health, drafting manuscripts for publication in peer-reviewed journals, attending conferences to present research results, managing datasets used in ongoing research projects, assisting with the preparation of annual reports to granting agencies, and participating in the submission of grant applications. Under the direction of Dr. Wildman, the candidate will assist with the oversight of students and staff conducting special projects in the Research Group. This training will primarily focus on methods used by the candidate in the research duties listed below

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