Position: Postdoc in Bioinformatics / Computational Biology

Department: Bioinformatics and Omics Data Analytics

Code number: 2019-0259

The German Cancer Research Center is the largest biomedical research institution in Germany. With approximately 3,000 employees, we operate an extensive scientific program in the field of cancer research.

The new Collaborative Research Centre “Understanding and Targeting Resistance in Glioblastoma” (UNITEGLIOBLASTOMA, SFB1389) is focused on decoding and combating resistance in glioblastoma, a serious and usually fatal brain tumor in children and adults. The goal of the research consortium is to understand the molecular mechanisms of resistance against current therapies and to develop new types of treatment. At the heart of the CRC is the “Core Collection”, for which uniform, integrated data sets from multiple omics analyses, preclinical models, imaging, and clinical data are being generated.

For more information, please see:

We invite applications for an enthusiastic and motivated post-doctoral fellow to join the UNITE core work package “Data integration, bioinformatics analysis, and data exploration for precision neurooncology”.

Job description:

In UNITE, you will work with leading researchers in the field of neurooncology towards the goal of making glioblastoma treatable. Together with our collaboration partners you will exploit the unique data resources generated in UNITE to make discoveries that make a difference in glioblastoma research.

Your main responsibilities will be:

  • Analyze various large-scale datasets in close collaboration with clinicians and experimentalists
  • Design high-throughput experiments and develop data analysis strategies in close collaboration with the PIs of the various research projects
  • Develop, adapt and maintain analysis workflows for different data types
  • Develop and apply statistical and machine-learning techniques to integrate and mine high-throughput datasets
  • Develop data integration methods and strategies for multi-omics single-cell datasets
  • Provide training in the relevant fields of bioinformatics and data analysis to researchers in the consortium


  • PhD in bioinformatics, computational biology, computer science or equivalent; alternatively, PhD in a life science discipline with demonstrated and significant experience in bioinformatics (including programming experience).
  • Demonstrated experience in analyzing large-scale high-throughput biomedical data (preferentially experience with NGS data)
  • Solid programming skills (preferentially Python and R)
  • Solid statistical background
  • Experience in the development and application of machine learning methods on (multi-)omics data is desirable
  • Working knowledge in a Linux environment
  • Excellent communication and presentation skills in English, including experience in communicating across discipline boundaries


You are highly motivated, organized, and enjoy it to handle multiple projects in parallel. You are passionate about getting clinically relevant knowledge out of large-scale datasets and are looking forward to collaborative interdisciplinary work. You have an independent and pro-active work style but also interact well in a team environment. The position will give you the opportunity to gain expertise in the analysis and integration of various omics and other data types and to develop innovative computational approaches to exploit the potential of these data. The embedding in our highly collaborative CRC will allow you to build up a network of highly successful collaboration partners. You will have opportunities to supervise and mentor junior researchers during the appointment.

We offer:

  • Interesting, versatile workplace
  • International, attractive working environment
  • Campus with modern state-of-the-art infrastructure
  • Salary according to TV-L including social benefits
  • Possibility to work part-time
  • Flexible working hours
  • Comprehensive further training program
  • Access to the DKFZ  International Postdoc Program

Earliest possible start date: as soon as possible

Duration: The position is limited to 2 years with the possibility of prolongation.

The position can in principle be part-time.

Application deadline: 03.09.2019


Dr. Matthias Schlesner
Phone +49 (0)6221/42-2720

Please note that we do not accept applications submitted via email.

The German Cancer Research Center is committed to increase the percentage of female scientists and encourages female applicants to apply. Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference.                           

To apply for a position please use our online application portal (www.dkfz.de/jobs).

We ask for your understanding that we cannot return application documents that are sent to us by post (Deutsches Krebsforschungszentrum, Personalabteilung, Im Neuenheimer Feld 280, 69120 Heidelberg) and that we do not accept applications submitted via email. We apologize for any inconvenience this may cause.