TRIAD Director - Associate Professor or Full Professor

TRIAD Director - Associate Professor or Full Professor

The University of Utah, an AA/EO employer, encourages applications from all qualified individuals and provides reasonable accommodations for disabilities. Candidates are expected to have experience working with diverse students, staff, faculty, and patients, and to be committed to improving access to higher education, employment opportunities, and quality healthcare for historically underrepresented groups.

The Division of Biostatistics in the Department of Population Health Sciences (PHS) at the University of Utah School of Medicine seeks an Associate or Full Professor to serve as the director of the Translational Research:
Implementation, Analysis and Design (TRIAD) Team. TRIAD is one of nine cores within the Center for Clinical and Translational Sciences Institute (CTSI), supporting biomedical research across the university and affiliated institutions.

TRIAD is a multi‑departmental group of more than 40 master’s and PhD‑trained biostatisticians and research methodologists working in quantitative and qualitative methodologies, including health economics, survey design, qualitative research, implementation science, systematic review, and related areas.

• Direct and develop the TRIAD core, overseeing project management, resource allocation, and team leadership.
• Collaborate with biomedical researchers to design, analyze, and interpret studies, providing methodological and statistical support.
• Support and develop grant proposals, including grant writing, budgeting, and compliance.
• Advising graduate students and training faculty in biostatistical methods and research design.
• Conduct independent and collaborative methodological research in biostatistics.
• Teach in the Biostatistics Ph.D. emphasis in the PHS Ph.D. program.
• Represent TRIAD in national and international research networks.

• Design and analysis of observational studies
• Design and analysis of clinical trials
• Causal inference
• Implementation science methodology
• Data integration
• Machine learning
• ‘Omics (metabolomics, transcriptomics, metagenomics)
• Social/behavioral science
• Longitudinal and multilevel data analysis

• Ph.D. in biostatistics or a related discipline (required).
• Demonstrated excellence in collaborative and methodological research.
• Post‑doctoral training and/or experience is desired.

• Letter of interest (cover letter)
• Curriculum Vitae
• Teaching statement
• Exemplar publication or pre‑publication that highlights expertise in biostatistics

The University of Utah does not discriminate based on race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy‑related conditions, genetic information, or protected veteran’s status. Veterans’ preference is extended to qualified applicants. Reasonable accommodations for disabilities will be provided upon request.