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

Advocate Health•Winston-Salem, NC

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 is committed to collaborative, interdisciplinary research and welcomes outstanding applicants across methodological and scientific areas. BDS is a growing academic department with more than 33 primary faculty members, 12 secondary and affiliate faculty members, and 90 staff, supported by more than $22 million in annual external funding. It is part of the Division of Public Health Sciences, the largest research group at WFUSM, and collaborates with the Department of Statistical Sciences at Wake Forest University, including opportunities to work with graduate students. WFUSM is the academic core of Advocate Health and provides a research environment supported by informatics infrastructure, clinically integrated implementation science, and a commitment to promoting health for all. The faculty member will join an institution with extensive clinical research activity and opportunities to contribute to the National Center for Clinical Trials and the Clinical Trials Methods Center, including work involving real-world data and clinical-trial methods. Applicants should submit a cover letter, curriculum vitae, research and teaching statements, and contact information for at least three references through the online Workday application portal. Applications are reviewed on a rolling basis, with priority given to those 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

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

Responsibilities

Conduct collaborative, interdisciplinary research in biostatistics and data science.
Contribute to research in areas such as administrative and observational data analysis, pragmatic study designs, clinical trials, biomedical artificial intelligence and machine learning, or analysis of dense remote-monitoring data streams, as applicable to the candidate’s expertise.
Collaborate with medical and public health professionals in multidisciplinary settings.
Submit a cover letter, curriculum vitae, research and teaching statements, and contact details for at least three references as part of the application.