Postdoc positions for computational genomics, bioinformatics, or molecular cancer biology

Postdoc positions for computational genomics, translational bioinformatics, or molecular cancer biology

Two postdoctoral positions are available at Wang Laboratory of the UPMC Hillman Cancer Center, University of Pittsburgh. The individuals will be working on our integrative computational genomics initiatives aimed at identifying pathological genetic aberrations, predictive biomarkers, and therapeutic targets from cancer genomics datasets, as well as developing novel bioinformatics tools and models to predict therapeutic responses of targeted therapies and immunotherapies. The candidates will receive multidisciplinary training on computational genomics, integrative bioinformatics, molecular cancer biology, and translational research. The candidate must hold a Ph.D. degree in the Biomedical Sciences. Preference will be given to highly motivated candidates with an outstanding publication record in cancer research, and those with established expertise in computational genomics, bioinformatics and biostatistics, or molecular cancer biology. The candidates may choose to work on dry or wet laboratory projects or both.

The research topics for computational genomics and translational bioinformatics will include: 1) Develop novel mathematical, statistical, and artificial intelligence (AI) models, as well as bioinformatics tools, to predict therapeutic outcome of targeted therapies and immunotherapies on the basis of deep sequencing and single cell sequencing datasets. 2) Perform integrative analysis of deep-sequencing datasets, and integrate these datasets with drug sensitivity datasets to identify predictive biomarkers for targeted therapies. 3) Catalog pathological genetic alterations in cancer through integrative analysis of whole-genome and transcriptome sequencing datasets.

The research topics for molecular cancer biology will include studying recurrent genomic rearrangements, predictive biomarkers, and targeted agents in more aggressive forms of breast cancers. The primary responsibilities will include experimental validation of newly discovered cancer targets and predictive biomarkers, characterize their molecular basis, elucidating their clinical significance using patient samples, confirming their role in tumor initiation, progression, and therapeutic resistance in vitro and in vivo, pinpointing their action mechanisms, and exploring potential clinical applications.

Wang laboratory is a computational genomics and translational cancer research lab at UPMC Hillman Cancer Center, Department of Pathology, University of Pittsburgh. The long-term goal of this lab is to apply a multiple disciplinary approach inclusive of computational genomics, bioinformatics, molecular cancer biology, and translational studies to identify viable cancer targets and predictive biomarkers, as well as developing the bioinformatics tools for genomics-based cancer precision medicine. For more information, please visit http://www.cagenome.org/lab.

To apply, please send your CV, cover letter, and the contact information of 3 referees to:

Xiaosong Wang, M.D., Ph.D.

Associate Professor of Pathology and Biomedical Informatics

UPMC Hillman Cancer Center

Email: wangx13@pitt.edu

Review of applications will begin immediately until these positions are filled. The University of Pittsburgh offers a comprehensive salary program and excellent benefits in a smoke and drug free workplace. University of Pittsburgh School of Medicine is an Affirmative Action/Equal Opportunity Employer and encourages applications from under-represented groups.

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