Assistant Professor of Computational Genomics and Information Technology for Neurodegeneration Research
University of Pennsylvania Perelman School of Medicine
United States


The Department of Pathology and Laboratory Medicine at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for an Assistant Professor position in the non-tenure research track. Expertise is required in the specific area of human genetics, whole-genome/exome sequencing and structural variant analysis, functional genomics, computational biology, big data analysis and management, cloud computing, and/or software development and maintenance.

Research or scholarship responsibilities may include leading a team of programmers and systems administrators in implementing and maintaining cloud-based platforms, algorithms, computer programs, databases, and websites for large genomic/multi-omic data management, sharing, and analysis. Other responsibilities include participating in collaborative and independent research programs related to human genetics with focus on Alzheimer’s disease and related dementia, co-supervision of postdoctoral fellows, students, and research staff, coordinating NIH-funded grant efforts with local, national, and international collaborators, and participation in writing grants, reports, and manuscripts.

Applicants must have a Ph.D. or equivalent degree. Applicants must have a Ph.D. or equivalent degree in computational biology, bioinformatics, computer science/engineering, data science, biostatistics or other related fields.

Applicants should have demonstrated excellent qualifications in research and experience in team/project management. Substantial experience in human genetics/genomics research, computational bioinformatics, publication of research results, and communication skills required.

We seek candidates who embrace and reflect diversity in the broadest sense.

The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply.

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