Assistant or Associate Professor

The Department of Computational and Systems Biology (CSB) in the School of Medicine at the University of Pittsburgh invites applications for two full-time, tenure-stream faculty positions at the rank of either Assistant or Associate Professor. We are seeking creative, productive, and collaborative colleagues to lead a research team using experimental or computational systems biology approaches to address fundamental biomedical questions and, where appropriate, facilitate translation towards clinical application.

 

The successful candidate will have a minimum education level of Ph.D. degree or equivalent in Systems Biology, Computational Biology or in a related field and have completed a productive postdoctoral fellowship or equivalent, having published impactful work relevant for the fields of experimental or computational systems biology. One to three years of work experience preferred (inclusive of postdoctoral work) and demonstrated leadership in high-impact research, with interdisciplinary collaborations and multidisciplinary research accomplishments in biological systems modeling, systems genetics, and/or molecular mechanism and therapeutics.

 

We welcome candidates who combine ‘wet’ experimental approaches with ‘dry’ computational approaches, or candidates using more exclusively computational methods.

 

The successful candidate will have the opportunity to mentor students in multiple interdisciplinary graduate programs, including the Joint Carnegie Mellon University–University of Pittsburgh Ph.D. Program in Computational Biology, the Integrative Systems Biology Ph.D. program, and the Computational Biomedicine and Biotechnology Master’s Program. Candidates should describe their documented interest in mentoring and other activities that promote diversity, equity, and inclusion. 

 

Applications must be submitted via the University of Pittsburgh’s Talent Center. See Requisition IDs below and visit Talent Center for the complete list of required application materials.

 

Faculty.Professor.Associate – Full-Time (Requisition ID: 25006889)

 

Faculty.Professor.Assistant – Full-Time (Requisition ID: 25006881)