Assistant/Associate - Professor of Biostatistics

FTE: 100%

Appointment Type: Tenure Track

Title/Rank: Assistant Professor/Associate Professor

Primary Location: University of Oklahoma Harold Hamm Health Campus in Oklahoma City, Oklahoma

The Department of Biostatistics and Epidemiology at the Hudson College of Public Health, University of Oklahoma Harold Hamm Health Campus, invites applications for a full-time, tenure-track faculty position at the rank of Assistant or Associate Professor in Biostatistics. Areas of expertise may include, but are not limited to, machine learning, artificial intelligence, big data analytics, causal inference, and geospatial modeling. The successful candidate will develop an independent and externally funded research program and contribute to the department's educational mission through teaching and mentoring. They will also have the opportunity to assist in designing and establishing interdisciplinary and collaborative research initiatives with various entities across the campus, including the Oklahoma Clinical and Translational Science Institute, Stephenson Cancer Center, the Harold Hamm Diabetes Center, and other health institutions in the region.

Primary Responsibilities

• Teach graduate-level courses in biostatistics.
• Advise and mentor MPH, MS, and PhD students.
• Provide consultative biostatistical expertise to investigators across the college, university, and affiliated research partners. The faculty member is expected to serve as a co-investigator or key personnel on grant applications and research projects when appropriate.
• Develop and sustain an independent program of scholarly research.
• Publish statistical methods and collaborative research in high-quality peer-reviewed journals.
• Pursue external funding from federal, state, foundation, and other funding agencies.
• Participate in departmental, college, university, and (inter)national service activities.

Qualifications:

Required

• Doctoral degree (PhD or equivalent) in Biostatistics, Statistics, or a closely related field
• Commitment to excellence in teaching and mentoring students from varied backgrounds
• Evidence of scholarly productivity with publications in indexed peer-reviewed journals and grant activity, appropriate to career stage
• Demonstrated ability or strong potential to establish and sustain an independent, externally funded research program
• Excellent communication and interpersonal skills with the ability to foster an environment of respect and professionalism

Preferences (Not Required)

• Established record of teaching and mentoring at the graduate level
• Established record of external grant funding, appropriate to career stage
• Experience providing statistical consultation and contributing to multidisciplinary research teams
• Expertise in machine learning, artificial intelligence, big data analytics, causal inference, and geospatial modeling