Saez-Rodriguez Lab is looking for a postdoc to develop deep learning methods for single-cell genomics in cancer. The position is part of a collaboration with the groups of Oliver Stegle and Karsten Rippe (DFKZ), Fabian Theis (Helmholtz Center Munich) and Marc Raab (Heidelberg University Hospital). The main methodological focus will be to include biological knowledge on machine learning methods developed closely with the Theis and Stegle groups.

Candidates interested in using bioinformatics and machine learning to analyze big data to advance personalized medicine are encouraged to apply. You are expected to hold a degree in statistics, mathematics, physics, engineering or computer science, or a degree in biological science with substantial experience in computational and statistical work.

There is no strict deadline, but priority will be given to applications by February 1st. Starting date is aimed for March 2021 or soon thereafter. Candidates should email their CV (including names of three references) and a letter of interest to This email address is being protected from spambots. You need JavaScript enabled to view it. 

More information here: https://jobrxiv.org/job/heidelberg-university-hospital-27778-postdoc-in-machine-learning-for-single-cell-genomics-in-cancer/