PostDoc/ PhD in Medical Bioinformatics & Machine Learning

Heidelberg University


Postdoctoral and/or PhD positions are open in the group of Julio Saez-Rodriguez at Heidelberg University. The positions are in the context of various national and international collaborations to better understand and treat diseases including cancer and heart disease by analyzing multi-omics data sets, including single-cell and spatially resolved data. You will develop and apply computational methods within an international and interdisciplinary group of scientists (for more information visit


Candidates interested in using bioinformatics, machine learning, and mathematical modeling 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.

Start date

To be determined

How to Apply

Candidates should email their CV (including the names of three references) and a letter of interest to jobs.saez (at) The letter of interest has to be tailored to our group, mentioning projects or articles of our group that you find interesting, and explaining how you would fit here and in the topic mentioned above. Please also provide a pointer to a code repository.

There is no strict deadline, but priority will be given to applications by May 3rd 2022. The starting date is flexible.