Postdoc – Bioinformatics / Computational Biology

Overview

The German Cancer Research Center (DKFZ) is one of Europe’s largest cancer research centers. “Research for a life without cancer" is the mission of our world-class scientists and all our team members.

The DKFZ is a place where the brightest minds pursue bold ideas and seek answers to pioneering scientific questions through collaboration, innovation, and exploration across many disciplines. We provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network.

Contribute your knowledge, vision, and dedication to create a space where scientific discovery in cancer research is transformed into benefits for human health.

In collaboration with the Department of Molecular Human Genetics at Heidelberg University, the Division of Signaling and Functional Genomics at the German Cancer Research Center is seeking as soon as possible a Postdoc – Bioinformatics / Computational Biology .

Reference number:

The Division of Signaling and Functional Genomics, led by Prof Dr. Michael Boutros, is pioneering novel methods for high-throughput genetic and pharmacological perturbations to systematically analyze signaling pathways and gene-drug interactions. In order to decipher the genetic and gene-drug interactions, we use model systems like Drosophila, human cell cultures and patient-derived organoids in high-throughput screens (e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications for RNAi and CRISPR reagent identification and off-target prediction (E-RNAi, E-CRISP), and public databases of functional screening data (GenomeRNAi, GenomeCRISPR), which are also part of the de.NBI and ELIXIR service portfolio. Further projects in the group are based on integrative analysis of multi-omics data such as RNASeq (bulk or single-cell) and long-read genomics data.

Your Tasks

• Develop and adapt bioinformatics approaches for experimental design, data analysis, and integration of genomic data sets
• Design the concept of analysis workflows for high-throughput screens and integrative analysis
• Maintain and further develop our software tools and databases for high-throughput screening experiments and add new content based on literature
• Support the group in analyzing multi-omics data, such as RNASeq and images
• Analyze and present the results
• Collaborate with internal and international collaboration partners
• Support and administer internal web and Linux servers

Your Profile

• Academic degree (master's and Ph.D.) with a background in computer science, bioinformatics, physics, or related field
• Proven experience in omics data analysis
• Knowledge of Bioconductor/R for biological data analysis
• Experience in object-oriented software development and building of modern web-based applications
• Good analytical and (bio)statistical skills
• Knowledge of relevant programming languages such as Java, Python, and Perl
• Good knowledge of relational and document-oriented database design (e.g., MySQL, MongoDB)
• Experience with Git and Docker containers
• Knowledge of Django and workflow management systems (e.g., Snakemake or Nextflow) is beneficial
• Proficiency in applying artificial intelligence methods to biomedical data is a plus
• Experience in image processing techniques, such as segmentation, is of advantage
• Ability to quickly grasp new concepts and work independently on complex problems
• Ability to work as part of an interdisciplinary team but also independently
• Excellent communication, organizational, and interpersonal skills
• An excellent written and oral command of English is essential

Application shall include a CV, a letter of motivation, degree certificates, and names and contact information of at least two references.

We Offer

• Excellent framework conditions: state-of-the-art equipment and opportunities for international networking at the highest level
• Remuneration according to TV-L incl. company pension scheme and capital-forming benefits
• 30 days of vacation per year
• Flexible working hours
• Possibility of mobile work and part-time work
• Family-friendly working environment
• Sustainable travel to work: subsidized Germany job ticket
• Our Corporate Health Management Program offers a holistic approach to your well-being
• 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

Contact

Dr. Ulrike Hardeland

Phone:

The position is initially limited to 2 years, with the possibility of prolongation.

Application Deadline:

Applications by e-mail cannot be accepted. Please also note that we cannot return applications submitted by post.

Are you interested?
Then become part of the DKFZ and join us in contributing to a life without cancer!

We are convinced that an innovative research and working environment thrives on the diversity of its employees. Therefore, we welcome applications from talented people, regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical ability, religion and age. People with severe disabilities are given preference if they have the same aptitude.

Notice: We are subject to the regulations of the Infection Protection Act (IfSG). Therefore, all our employees must provide proof of immunity against measles.

Deutsches Krebsforschungszentrum | Im Neuenheimer Feld 280 | 69120 Heidelberg |