Postdoc Position in Medical Data Science

  • Department of Quantitative Biomedicine
  • Zürich, ZH
  • 06/06/2022
Full time Data Science Data Analytics Data Management Biostatistics DevOps

Job Description

Job details

Job Type
Full-time
80-100%

Full Job Description

Department of Quantitative Biomedicine

Postdoc Position in Medical Data Science
80-100 %

The University of Zurich together with the University Hospital of Zurich are embarking on a concerted effort to develop informatics programs to advance biomedical research and healthcare using cutting edge computational approaches. As part of these efforts, the Chair of Medical Informatics (krauthammerlab) investigates topics in clinical data science and translational bioinformatics, such as knowledge discovery from Big Data sources (Electronic Medical Records, health registries) as well as the analysis of human Omics data.

Your responsibilities

We are currently looking for a motivated PostDoc in Medical Data Science. The position is jointly funded by the Experimental Oncology Lab (Prof. Andreas Wicki) and is focused on clinical data science, particularly the development of advanced analytical methods (optimization, forecasting and counterfactual reasoning) for analyzing hospital data, including the analysis of historic cancer data with respect to treatment outcome and side effects.
The PostDoc will be involved in other ongoing lab activities (particularly the supervision of junior lab members and some teaching activities). We offer an interdisciplinary research environment, the possibility to direct your own research, access to state-of-the-art computational resources infrastructure (further details are listed below) and a formidable place to grow academically.

Your profile

  • PhD degree in computer science (focused on machine learning), optimization, statistics, applied math, computational biology or closely related discipline
  • Strong publication record with at least one first-author paper in top-tier conferences (such as NeurIPS, ICML, ACL, CVPR, AISTATS, AAAI, ICLR, etc.)
  • Proficient in Python and the scientific computing stack (SciPy, Numpy, Scikit- learn, pandas)
  • Proficient in one of the deep learning frameworks (PyTorch, Tensorflow)
  • Prior health- and biology- related computational work is a plus.

What we offer

  • Access to state-of-the-art infrastructure (computational resources), clinical datasets and medical expertise domain-knowledge (excellent medical doctors and research scientists)
  • Ability to make a real and tangible impact in healthcare research
  • Solve real-world problems and improve hospital-related processes and workflow
  • Stimulating research environment and a place to grow academically and professionally
  • Outstanding working conditions at the University of Zurich.

Place of work

Zurich, Switzerland

Start of employment

Employment start date to be mutally agreed.