Biostatistician Faculty Position

Job Description

POSITION: Full-time (12-month), non-tenure faculty position. Rank commensurate with education and experience.

DUTIES AND RESPONSIBLITIES: The School of Health and Rehabilitation Sciences (SHRS) seeks applicants for a full-time assistant, associate, or full professor biostatistician in the SHRS Data Center. Primary responsibilities include collaborating with rehabilitation clinician scientists and engineers through the provision of research design and analysis expertise, conducting data analyses on large research projects in the health sciences, and teaching in graduate level research methods courses. The faculty position will be core faculty in the SHRS Data Center, reporting to the Director of the SHRS Data Center and Associate Dean of Research and will have a primary appointment in the SHRS Department of Communication Sciences and Disorders. Additional opportunities for secondary appointments exist.

REQUIREMENTS: Candidates must have: an earned doctoral degree in biostatistics, statistics, research methodology or related discipline; experience in collaborating with clinical and/or translational scientists from culturally diverse backgrounds; experience with grant writing and peer-reviewed publications; a record of external funding as principal or co-investigator; and classroom teaching experience. Ideal candidates will have a minimum of 3 years of experience in biostatistics or quantitative or computational psychology, focused on design and analysis for projects with large, longitudinal, and complex data sets using physiological, clinical, behavioral, neuroimaging, and genomic data. Experience working with at least some of following methods is strongly preferred: mixed-effects models, factor analysis and structural equation models, item response theory, supervised and unsupervised machine learning, and Bayesian modeling. A focus on open science practices and experience in working with data coordinating centers or clinical trials is also encouraged.

APPLICATION PROCESS: Applicants should apply at join.pitt.edu, requisition number 22005651, with cover letter including a statement of research and teaching interests and curriculum vitae. Candidates should arrange for three letters of recommendation to be submitted. Questions may be directed to Yolonda Murphy, SHRS Data Center Administrator, [email protected], (412) 383-5616. Recruitment and review of applications will continue with full consideration until the position is filled. The University of Pittsburgh is an Affirmative Action/ Equal Opportunity Employer and values equality of opportunity, human dignity, and diversity. EEO, including disability/vets.