Post-doc position in machine learning and single-cell data integration

University of Pittsburgh
Biomedical Informatics
United StatesPAPittsburgh


> Lead the development of machine learning methods for clinically important questions in cancer and immunology
> Focus on interpretable deep learning for single cell multi-omics data integration
> Engage with the broader cancer systems biology communities by presenting work at top conferences, as well as publishing applications of new methods in high-impact journals

> The Osmanbeyoglu Lab is a multi-disciplinary hybrid wet/dry lab at the University of Pittsburgh. We are affiliated with the Department of Biomedical Informatics, Bioengineering, Biostatistics, the Center for Systems Immunology, and UPMC Hillman Cancer Center
> Our projects are funded by NCI and The Fund for Innovation in Cancer Informatics
> The University consistently ranks in the top 5 nationally for NIH biomedical research funding and the Cancer Center was recently ranked #7 by US News & World Report


> Ph.D. in a quantitative discipline, eg applied mathematics, bioinformatics, biostatistics, computer science
> Expert coding in R or Python or MATLAB
> Experience with machine learning and statistics
> Experience in genomic data analysis and deep learning are plus
> Team player with strong work ethic

Start date

As soon as possible

How to Apply

Please send an email to osmanbeyogluhu @ pitt dot edu and include your CV (with references) and research interests. Please put the words “POSTDOC-APPLICATION-2022” in the subject line