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Position TitleBiostatistician (MS and BS)
Located in the Innovation Quarter (https://www.innovationquarter.com/) adjacent to Bailey Park (http://baileyparkws.com/) in downtown Winston-Salem, NC Wake Forest University School of Medicine is the cornerstone of one of the fastest-growing urban-based districts for innovation in the United States. A city of approximately 220,000 people, Winston-Salem is home to Wake Forest Baptist Medical Center and Wake Forest University. The city is nestled in the northwestern region of North Carolina, within easy driving distance to the beautiful Blue Ridge Mountains and the pristine beaches of North Carolina.
The Department of Biostatistics and Data Science is a vibrant academic unit comprised of 25 faculty and more than 70 staff including biostatisticians, programmers, project managers, and administrative staff. This group has demonstrated long-standing growth in extramural funding, aiding the development of a rich research environment and facilitating advancements in a variety of public health disciplines including geriatrics, cardiovascular disease, diabetes, women’s health, population genetics, and cancer control. The Department resides within the Division of Public Health Sciences, which also includes the Department of Epidemiology and Prevention, the Department of Social Sciences and Health Policy, and the newly formed Department of Implementation Science. Together, Public Health Sciences is the largest research group at Wake Forest, including more than 60 faculty and 160 staff.
Responsibilities include collaborating with medical investigators on the design, conduct, analysis, and presentation of single- and multi-center research projects and clinical trials. Experience with consulting and statistical programming, especially SAS and/or R, are preferred.
The Department of Biostatistics and Data Science in the Division of Public Health Sciences at Wake Forest School of Medicine is recruiting to fill multiple biostatistician positions. A Master’s degree in biostatistics, epidemiology, bioinformatics, or a related field is preferred, but candidates with a Bachelor’s degree in statistics/biostatistics or mathematics and strong analytic skills will be considered. Excellent verbal and written communication skills are required.