Postdoc Position in Computational Cancer Biology (ERC funded) Junior Research Group "Genome Ins[...]
Postdoc Position in Computational Cancer Biology (ERC funded) Junior Research Group "Genome Ins[...]

Postdoc Position in Computational Cancer Biology (ERC funded) Junior Research Group "Genome Ins[...]

Heidelberg Doktorand 45000 - 63000 € / Jahr (geschätzt) Kein Home Office möglich
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Auf einen Blick

  • Aufgaben: Join our research team to analyze data and develop computational methods in cancer biology.
  • Arbeitgeber: Be part of the German Cancer Research Center, dedicated to a life without cancer.
  • Mitarbeitervorteile: Enjoy a family-friendly environment, health programs, and access to career development resources.
  • Warum dieser Job: Contribute to groundbreaking cancer research while shaping your own scientific profile.
  • Gewünschte Qualifikationen: PhD in computational biology or related fields; experience with R/Bioconductor or Python required.
  • Andere Informationen: Position available immediately, initially for 3 years, with potential extension.

Das voraussichtliche Gehalt liegt zwischen 45000 - 63000 € pro Jahr.

Postdoc Position in Computational Cancer Biology (ERC funded)

Reference number: 2025-0029

  • Full-time
  • Junior Research Group „Genome Instability in Tumors“

“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 European Molecular Biology Laboratory (EMBL) in Heidelberg, the Junior Research Group „Genome Instability in Tumors“ headed by Dr. Aurélie Ernst is offering a postdoctoral scientist (bioinformatics / computational biology) position 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.

The position is available immediately. The initial term of employment is 3 years and may be extended up to a total of 5 years.

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

  • Remuneration according to TV-L incl. occupational pension plan and capital-forming payments
  • 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

Are you interested?

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

Contact:

Dr. Aurélie Ernst
Phone: +49 (0)6221/42-1512

Duration: The position is initially limited to 3 years.

Application Deadline: 21.02.2025

Applications by e-mail cannot be accepted.

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.

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Postdoc Position in Computational Cancer Biology (ERC funded) Junior Research Group "Genome Ins[...] Arbeitgeber: dkfz. Deutsches Krebsforschungszentrum

At the German Cancer Research Center (DKFZ), we are dedicated to pioneering research that aims for a life without cancer, making us an exceptional employer for those passionate about impactful science. Our collaborative environment with the European Molecular Biology Laboratory (EMBL) in Heidelberg fosters innovation and personal growth, offering access to comprehensive career development programs and a family-friendly workplace. With competitive remuneration, a commitment to employee well-being, and a focus on diversity, DKFZ is the ideal place for researchers eager to contribute to meaningful advancements in cancer biology.
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Kontaktperson:

dkfz. Deutsches Krebsforschungszentrum HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Postdoc Position in Computational Cancer Biology (ERC funded) Junior Research Group "Genome Ins[...]

✨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 Junior Research Group 'Genome Instability in Tumors' on platforms like LinkedIn. Engaging with them can provide insights into the team dynamics and ongoing projects, which can be beneficial for your application.

✨Tip Number 3

Showcase your programming skills in R/Bioconductor and Python by contributing to open-source projects or creating your own data analysis tools. This practical experience can set you apart from other candidates and demonstrate your commitment to scientific computing.

✨Tip Number 4

Prepare to discuss your previous research outputs in detail, particularly any software packages or data analysis notebooks you've developed. Being able to articulate your contributions and their impact on the field will strengthen your candidacy.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Postdoc Position in Computational Cancer Biology (ERC funded) Junior Research Group "Genome Ins[...]

PhD in Computational Biology, Bioinformatics, Systems Biology, Statistics, Physics, or Computer Science
Experience in scientific computing
Proficiency in R/Bioconductor and/or Python for data science
Integrative data analysis for biological discovery
Single-cell multiome data analysis at ultra-large scale
Spatial transcriptomics expertise
Understanding of clonal evolution and phylogeny
Knowledge of copy-number changes and complex rearrangements
Ability to analyze transcriptome data at single-cell resolution
Experience with clone fitness and selection
Familiarity with interactions between tumor cells and the microenvironment
Data science skills including quality assurance and advanced visualization
Model checking capabilities
Software development skills for scientific computing
Very good command of English

Tipps für deine Bewerbung 🫡

Tailor Your Cover Letter: Make sure to customize your cover letter to reflect your interest in the specific research areas mentioned in the job description. Highlight your relevant experience in computational biology and how it aligns with the goals of the Junior Research Group 'Genome Instability in Tumors'.

Showcase Your Research Outputs: Include links to your prior research outputs, such as software packages, data analysis notebooks, and your PhD thesis. This will demonstrate your practical experience and contributions to the field, which is crucial for this position.

Highlight Technical Skills: Emphasize your proficiency in R/Bioconductor and/or Python for data science in your CV and cover letter. Mention any specific projects or experiences where you applied these skills, especially in relation to biological data analysis.

Concise Description of Research Interests: In your application, provide a brief description of your current research interests and expertise (max 1 page). Make sure it is clear, focused, and directly related to the themes of chromosome instability and cancer development as outlined in the job description.

Wie du dich auf ein Vorstellungsgespräch bei dkfz. Deutsches Krebsforschungszentrum vorbereitest

✨Showcase Your Research Experience

Be prepared to discuss your previous research projects in detail, especially those related to computational biology and bioinformatics. Highlight any specific methodologies you used, particularly in data analysis or software development, as this will demonstrate your hands-on experience.

✨Familiarize Yourself with the Team's Work

Research the Junior Research Group 'Genome Instability in Tumors' and familiarize yourself with their recent publications and projects. This knowledge will allow you to ask insightful questions and show your genuine interest in their work during the interview.

✨Prepare for Technical Questions

Expect technical questions related to R/Bioconductor and Python, as well as statistical methods relevant to cancer research. Brush up on your coding skills and be ready to solve problems or discuss your approach to data analysis during the interview.

✨Communicate Your Passion for Cancer Research

Articulate your motivation for wanting to contribute to cancer research and how your background aligns with the mission of the German Cancer Research Center. Sharing personal stories or experiences that led you to this field can make a strong impression.

Postdoc Position in Computational Cancer Biology (ERC funded) Junior Research Group "Genome Ins[...]
dkfz. Deutsches Krebsforschungszentrum
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  • Postdoc Position in Computational Cancer Biology (ERC funded) Junior Research Group "Genome Ins[...]

    Heidelberg
    Doktorand
    45000 - 63000 € / Jahr (geschätzt)

    Bewerbungsfrist: 2027-03-17

  • D

    dkfz. Deutsches Krebsforschungszentrum

    1000 - 2000
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