Position: Computational Scientist

Department: Single-cell Open Lab (scOpenLab)

Code number: 2022-0157

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.

Recent technological advancements make it now possible to combine genome-wide single-cell omics readouts with a microscopy-based analysis to integrate imaging-based phenotypes and molecular profiles in spatially resolved omics (SRO) approaches. A position as a computational scientist to support the analysis of SRO is available at the DKFZ. The work is embedded in a larger initiative for building an SRO technology platform across institutions on the Innovation Campus Heidelberg-Mannheim. 

We are looking for a computational scientist to implement, advance and maintain SRO data analysis workflows. The successful candidate will be part of an interdisciplinary research team for developing and applying a diverse range of state-of-the-art SRO methodology that comprises the complete workflow from the experimental data generation to clinical applications. The position provides the unique opportunity to build an internationally competitive SRO technology platform.

 

Job description:

  • Develop data analysis pipelines that, for example, generate transcript count tables for segmented single cells
  • Support of data access and analysis workflows across institutions
  • Testing / benchmarking workflows with cloud deployments and implementation of strategies for fast I/O
  • Implementing and monitoring a standardized pipeline management framework
  • Provide support and training in SRO data analysis

Requirements:

  • Master's degree or equivalent qualification in bioinformatics, computational biology, computer science, statistics, mathematics, or similar background with experience in computational biology / bioinformatics of at least 2 years; PhD is an advantage
  • Background in the analysis of single-cell sequencing and/or imaging data
  • Proficiency with UNIX-based systems and relevant programming languages such as Python or R
  • Previous experience in machine learning, complex data management, cloud computing, container technologies and system administration is beneficial

The ideal applicant should have demonstrated the ability to work independently and creatively. The candidate should have good communications skills in English to articulate the technical needs, set clear milestones for the projects and should be motivated to work within an interdisciplinary team with other bioinformaticians as well as experimentalists.

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

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 as well as against COVID-19 may work at the DKFZ.

Earliest Possible Start Date: as soon as possible

Duration: The position is initially limited to 2 years. An extension up to 5 years would be possible.

The position can in principle be part-time.

Application Deadline: 26.05.2022

Contact:

Dr. Jan-Philipp Mallm
Phone +49 (0)6221/54-51378

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.