Research Position in Machine Learning Applications to Health Care

University of Pittsburgh
Department of Computational and Systems Biology
United States Pennsylvania Pittsburgh


A postdoctoral fellowship is available immediately in the laboratory of Takis Benos ( in the Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA. The project involves developing and applying graphical models to health care data. In particular, we are developing methods for disease subclassification and prediction of clinical outcomes from blood biomarkers and microbiome samples. A substantial part of our research involves analysis of single cell RNA-seq data to discover mechanisms of progression and treatment response in cancer and chronic diseases. The research will be carried out in collaboration with clinical and basic science researchers in the University of Pittsburgh and Carnegie Mellon University.

The Department of Computational and Systems Biology (CSB), established in 2004, was one of the first such departments in the country. In partnership with CMU we initiated the Joint CMU-Pitt PhD Program in Computational Biology (CPCB) in 2005, which was funded by HHMI and now by NIH. Dr. Benos served as director of this program in 2009-2013.

Pittsburgh is a modern, multi-cultural city that hosts students from all around the world in its many universities, including University of Pittsburgh, Carnegie Mellon University, Duquesne University, and others. The low cost of living, the rich cultural scene and the low criminality resulted in being voted three times as the “Most livable city in the US”. Companies such as Google and Uber have established research labs in the city and our University of Pittsburgh Medical Center (UPMC) is one of the top health providers in the country.

The University of Pittsburgh is an Equal Opportunity, Affirmative Action employer and we strongly encourage applications from women and underrepresented minorities.


The ideal candidate will have a Ph.D. in biostatistics, computer science, engineering, or related field. Research experience in computational biology is a plus.

Start date

As soon as possible

How to Apply

The position will be open until it is filled.
Application materials: (1) CV, (2) research statement, and (3) the names and contact information of three referees.
Please upload as a single PDF the following documents to this link: