Position: Computational Postdoc

Department: "Artificial Intelligence in Oncology" and "Regulatory Genomics and Cancer Evolution"

Code number: 2024-0088

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

For collaborative efforts between the labs of Prof. Dr. Moritz Gerstung (Division of Artificial Intelligence in Oncology) and Prof. Dr. Duncan Odom (Division of Regulatory Genomics and Cancer Evolution), we are seeking a dry-lab postdoctoral scientist for the exciting intersection between large-scale genetic analysis utilizing experimental models, spatial biology, single-cell sequencing, tumorigenesis, and mutagenesis.

Due to the collaborative capabilities of these labs to both capture and analyze unique and large-scale genetic datasets using custom approaches, we have several running projects and new opportunities to delve into the fundamental forces driving tumorigenesis, tumor evolution, and spatial biology.

Amongst other projects, we are investigating the principles of lesion segregation, a potential mechanism describing the acquisition and passage of somatic lesions throughout tumor progression. Other topics of interest include studying gender-specific molecular differences within the acquisition and maintenance of malignancies, the identification and classification of cellular populations and niches, and the development of both ‘classical’ and AI/ML-based computational approaches to help condense and interpret the full breadth of genetic and molecular features investigated.


Job description:

In this role, the candidate will engage in all relevant aspects of experimental design, computational analysis, reproducibility, and reporting of several long-term projects between the respective labs in close collaboration with experimentalists. Due to the large amount of genetic data and features examined within these projects, the candidate is encouraged to help shape these projects, explore his/her areas of interest, and contribute new ideas and approaches to our research efforts.

In addition, the candidate is expected to develop and extend (reproducible) workflows for handling these datasets.


  • Master's and PhD degree in bioinformatics, clinical data science, AI/ML, or a related field
  • Track record of writing papers, evidenced by publications or submitted manuscripts
  • Affinity for collaborative work across discipline boundaries
  • Interest in cancer biology and reproducible research
  • Proficiency in spoken and written English, German skills are beneficial

Knowledge in the following fields is a plus:

  • Prior experience in the field of molecular oncology
  • Experience in working with large-scale sequencing efforts (whole genome, whole transcriptome, methylation, single-cell sequencing)
  • Prior experience working with Linux and high-performance clusters (HPC)
  • R/Python and Snakemake or Nextflow (or others) 

We offer:

  • Interesting, versatile workplace
  • Excellent framework conditions: state-of-the-art equipment and opportunity for international networking at the highest level
  • Remuneration according to TV-L incl. occupational pension plan for the public service and capital-forming payments
  • 30 days of vacation per year
  • Flexible working hours
  • Possibility of mobile work and part-time work
  • Family-friendly working environment, including parent-child room, counseling services, e.g. on Elder Care
  • Sustainable travel to work: subsidized Germany job ticket
  • Develop your full potential: access to the DKFZ International Postdoc Program and DKFZ Career Service with targeted offers for your personal development to further develop your talents
  • Our Corporate Health Management Program offers a holistic approach to your well-being

Important notice:

The DKFZ is subject to the regulations of the Infection Protection Act (IfSG). As a consequence, only persons who present proof of immunity against measles may work at the DKFZ.

Earliest possible start date: as soon as possible

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

Application deadline: 24.04.2024


Dr. Moritz Gerstung
Phone +49 (0)6221/42-4522

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

The DKFZ is committed to increase the proportion of women in all areas and positions in which women are underrepresented. Qualified female applicants are therefore particularly encouraged 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 (https://www.dkfz.de/en/stellenangebote/index.php).

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.