Auf einen Blick
- Aufgaben: Join our research team to analyze data and develop methods in computational cancer biology.
- Arbeitgeber: Be part of the German Cancer Research Center, dedicated to fighting cancer through innovative research.
- Mitarbeitervorteile: Enjoy flexible hours, 30 vacation days, and a family-friendly work environment.
- Warum dieser Job: Contribute to groundbreaking cancer research while developing your skills in a supportive atmosphere.
- GewĂĽnschte Qualifikationen: PhD in computational biology or related fields; experience with R/Bioconductor or Python required.
- Andere Informationen: Position available immediately, with an initial term of 3 years, extendable up to 5 years.
Das voraussichtliche Gehalt liegt zwischen 42000 - 60000 € pro Jahr.
„Research for a life without cancer“ is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration or infrastructure. This is what makes our daily work so meaningful and exciting.
In collaboration with the European Molecular Biology Laboratory (EMBL) in Heidelberg, the Junior Research Group „Genome Instability in Tumors“ headed by Dr. AurĂ©lie Ernst is offering a
Postdoc Position in Computational Cancer Biology (ERC funded)
Reference number: 2025-0029
We are looking for a postdoctoral scientist (bioinformatics / computational biology) to work on chromosome instability in space and time and understand the early stages of cancer development, using data from single-cell multiome and spatial profiling in the brain and the colon. The project is funded through the ERC „Unstable Genome“.
The position is co-supervised by Wolfgang Huber at EMBL and Dr. Aurélie Ernst at DKFZ. The Huber group develops statistical and machine learning methods for modern biotechnologies, applies them to biological discovery, and translates them into reusable tools ( ). The Ernst group aims at elucidating how chromosome instability leads to massive genome rearrangements and deciphering implications for cancer patients.
More information can be found at .
Your Tasks:
As part of the research team, you will participate in the overall project and shape your own research profile in one or several of the following areas:
- Integrative data analysis for biological discovery
- Single-cell multiome data analysis at ultra-large scale (>100 000 cells per donor)
- Spatial transcriptomics
- Clonal evolution and phylogeny
- Copy-number changes and complex rearrangements and their impact on the transcriptome at single-cell resolution
- Clone fitness and selection, interactions between tumor cells and the microenvironment
- Data science, quality assurance, advanced visualization and model checking
- Develop scalable and robust software for scientific computing.
You will be able to contribute both to scientific discovery by analysis of primary data, and to the development of more broadly usable computational methods and tools.
Your Profile:
You have a PhD relevant to computational biology, e.g., in bioinformatics, systems biology, or in statistics, physics, computer science with demonstrated interest in the life sciences. You have experience in scientific computing and are familiar with R/Bioconductor and/or Python for data science. In your application, please include links to prior research outputs such as software packages, data analysis notebooks, technical reports, PhD thesis.
A very good command of English is expected.
Interested candidates should submit their applications with a cover letter, curriculum vitae, publication list, and a brief description of current research interests and expertise (max 1 page) as one single PDF file via our online application tool and also send the documents by email to Wolfgang Huber ().
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. occupational pension plan and capital-forming payments
- 30 days of vacation per year
- Flexible working hours
- Possibility of 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. Aurélie Ernst
Phone: +49 (0)6221/42-1512
The position is available immediately. The initial term of employment is 3 years and may be extended up to a total of 5 years.
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 |
#J-18808-Ljbffr
Postdoc Position in Computational Cancer Biology (ERC funded) Arbeitgeber: German Cancer Research Center in the Helmholtz Association (DKFZ)

Kontaktperson:
German Cancer Research Center in the Helmholtz Association (DKFZ) HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Postdoc Position in Computational Cancer Biology (ERC funded)
✨Tip Number 1
Familiarize yourself with the latest research in computational cancer biology, especially focusing on chromosome instability and single-cell multiome data analysis. This will not only help you understand the project better but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Connect with current or former members of the research groups led by Dr. Aurélie Ernst and Wolfgang Huber. Networking can provide you with insights into their work culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Showcase your programming skills in R/Bioconductor and Python through practical examples. Consider preparing a small project or analysis that demonstrates your ability to handle large datasets and apply statistical methods relevant to cancer research.
✨Tip Number 4
Prepare to discuss your previous research outputs in detail, particularly any software packages or data analysis notebooks you've created. Being able to articulate your contributions and their impact on the field will set you apart from other candidates.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Postdoc Position in Computational Cancer Biology (ERC funded)
Tipps für deine Bewerbung 🫡
Understand the Research Focus: Familiarize yourself with the mission of the German Cancer Research Center and the specific research areas of the Junior Research Group 'Genome Instability in Tumors'. This will help you tailor your application to align with their goals.
Craft a Compelling Cover Letter: In your cover letter, clearly express your motivation for applying to this position. Highlight your relevant experience in computational biology and how it relates to the project on chromosome instability.
Showcase Your Technical Skills: Make sure to emphasize your proficiency in R/Bioconductor and/or Python for data science in your CV. Include specific examples of projects or software packages you have developed that demonstrate your skills.
Prepare a Comprehensive PDF Application: Combine your cover letter, CV, publication list, and a brief description of your current research interests into one single PDF file. Ensure that all documents are well-organized and professionally formatted before submission.
Wie du dich auf ein Vorstellungsgespräch bei German Cancer Research Center in the Helmholtz Association (DKFZ) vorbereitest
✨Understand the Research Focus
Make sure you are well-versed in the specific areas of research mentioned in the job description, such as chromosome instability and spatial transcriptomics. Familiarize yourself with recent advancements in these fields to demonstrate your genuine interest and knowledge during the interview.
✨Showcase Your Technical Skills
Prepare to discuss your experience with R/Bioconductor and Python for data science. Be ready to provide examples of past projects or software packages you've developed, as this will highlight your technical expertise and ability to contribute to the team's goals.
✨Prepare Thoughtful Questions
Think of insightful questions to ask your interviewers about the research group's current projects, future directions, and collaboration opportunities. This shows your enthusiasm for the position and helps you assess if the role aligns with your career aspirations.
✨Communicate Your Research Interests
Be prepared to articulate your current research interests and how they align with the goals of the Junior Research Group. Highlight any relevant experiences that showcase your ability to contribute to scientific discovery and the development of computational methods.