Open Rank Faculty - Department of Biostatistics and Data Science - Wake Forest University School of Medicine (WFUSM)

Advocate Health and Hospitals Corporation•Winston Salem, NC

22h

About The Position

The Department of Biostatistics and Data Science (BDS) in the Division of Public Health Sciences at Wake Forest University School of Medicine invites applications for open-rank faculty positions. The initial appointment will be tenure-track or tenured. The department welcomes outstanding applicants across areas of expertise and is committed to collaborative, interdisciplinary research. BDS is a vibrant academic unit with more than 33 primary faculty members, 12 secondary and affiliate faculty members, and 90 staff, including biostatisticians, data scientists, programmers, project managers, and administrative staff. The department has a history of growth in extramural funding, with more than $22 million in annual external funding. BDS is part of the Division of Public Health Sciences and has strong collaborative ties with the Department of Statistical Sciences at Wake Forest University, including opportunities to work with graduate students. Wake Forest University School of Medicine is the academic core of Advocate Health and a major research institution. Its research environment combines robust informatics infrastructure, clinically integrated implementation science, and a commitment to promoting health for all. BDS and the Division of Public Health Sciences contribute to Advocate Health’s National Center for Clinical Trials, including work on real-world data and the Clinical Trials Methods Center. Applicants should submit a cover letter, curriculum vitae, research and teaching statements, and contact information for three or more references through the online application portal via Workday. Applications will be evaluated on a rolling basis, with priority given to applications received by October 1, 2026. Review will continue until the positions are filled.

Requirements

PhD in biostatistics, statistics, computer science, informatics, data science, or a related field.
Experience collaborating with medical and public health professionals in a multidisciplinary setting.
Excellent written and oral communication skills.

Nice To Haves

Expertise or interest in analysis of administrative data, including electronic health record and claims data, and observational data, including causal inference methods.
Expertise or interest in pragmatic study designs, such as cluster-randomized, stepped-wedge, and SMART designs.
Expertise or interest in clinical trial design, coordination, and analysis.
Expertise or interest in artificial intelligence and machine learning applied to biomedical data.
Expertise or interest in analysis of dense data streams, such as actigraphy, smartwatch measurements, or other remote patient monitoring data.