Open Rank Biostatistics & Data Science Faculty - Tenure Track

Wake Forest University School of Medicine; Winston-Salem (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

Wake Forest University School of Medicine in Winston-Salem, NC invites applications for open rank faculty positions in the Department of Biostatistics and Data Science. The initial appointment would be tenure-track or tenured, with opportunities for collaboration across public health sciences and related departments.

Ideal candidates will hold a PhD in biostatistics, statistics, computer science, informatics, data science, or a related field, and demonstrate excellence in communication,

Qualifications

• 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.
• Ability to conduct analyses of administrative and observational data using causal inference methods.
• Clinical trial design, coordination, and analysis.
• AI and ML applied to biomedical data.
• Ability to analyze dense data streams such as actigraphy or remote patient monitoring.

Responsibilities

• Analyze administrative (electronic health record, claims, etc.) and observational data.
• Design, coordinate, and analyze clinical trials.
• Apply AI/ML techniques to biomedical data.
• Collaborate with medical and public health professionals across disciplines.
• Communicate results clearly through reports and presentations.

Skills

Causal inference

Biomedical AI/ML

Clinical trial design

Collaborative research

Written and oral communication

Education

PhD in relevant field

Job description

Wake Forest University School of Medicine in Winston-Salem, NC invites applications for open rank faculty positions in the Department of Biostatistics and Data Science. The initial appointment would be tenure-track or tenured, with opportunities for collaboration across public health sciences and related departments.

Ideal candidates will hold a PhD in biostatistics, statistics, computer science, informatics, data science, or a related field, and demonstrate excellence in communication,