- PhD in biostatistics, statistics, computer science, informatics, data science, or a related field.
All outstanding applicants are encouraged to apply. These positions are not targeted towards specific methodological or scientific expertise, though areas of interest include:
- Analysis of administrative (electronic health record, claims, etc.) and observational data, including methods focused on causal inference
- Pragmatic study designs (cluster-randomized, stepped-wedge, SMART designs, etc.)
- Artificial intelligence and machine learning applied to biomedical data
- Clinical trial design, coordination, and analysis.
- Analysis of dense data streams such as actigraphy, smartwatch measurements, or other forms of remote patient monitoring
- Analysis of emerging omics areas (e.g., metabolomics, proteomics, genomics)
- Experience collaborating with medical and public health professionals in a multidisciplinary setting.
- Excellent written and oral communication skills.
Applicants should send a cover letter, curriculum vitae, research and teaching statements, and contact information for 3 or more references to bds_admin@wfusm.edu. Priority will be given to applications received by November 15, 2025, but we will continue to review applications until the positions are filled. See attachment for full details.
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Emily Dressler
Professor and Chair
Wake Forest University School of Medicine
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