Bioinformatic PhD Student in Translational Immunology
Reference number: 2025-0033
- Clinical Cooperation Unit "Neuroimmunology and Brain Tumor Immunology"
“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.
The Clinical Cooperation Unit "Neuroimmunology and Brain Tumor Immunology", headed by Prof. Dr. med. Michael Platten, is seeking a
We continue to explore how to combine patient sequencing, high-throughput testing, and machine learning in CENTRIC:BRAIN, an ERC Advanced Grant project looking at characterising and harnessing tumor-reactive T cells in the brain.
As part of this project, we are recruiting a PhD student with a track record of bioinformatics experience. We offer an exceptional learning environment with many experienced postdoc colleagues, excellent scientific facilities and funding, and a flat, inclusive hierarchy where everyone is expected to contribute. We are looking for a collaborative, ambitious, meticulous, scientifically adventurous, and curiosity-driven scientist to join our team translating basic research into tools for patients.
Prior experience of bioinformatics (at least 6 months) is required for this role; experience of single-cell sequencing, machine learning, or an experimental background in (tumor) immunology would be advantageous.
Due to the close connection to the Immune Monitoring Unit (NCT) and the University Clinic Mannheim, we offer access to patient-derived single-cell sequencing and bulk sequencing data collected from diverse samples (e.g., tumor and peripheral blood) across multiple time points. Further, collaborative working environment fostering exploratory project ideas and the implementation of cutting-edge technologies from both academia and industry.
- Analysis and curation of multi-omics data, in particular single-cell sequencing datasets
- Analysis of patient immune repertoire datasets, in particular TCR repertoires
- Contribution to the development of bioinformatic tools and pipelines
- Contribution to high-throughput assay development, for example by managing our lab automation systems or conducting high-throughput functional assays using high-content imaging systems
- M.Sc. degree in biochemistry, biology, genetics, physics, mathematics or related disciplines (to be completed within the next 3 months if not already)
- Experience in bioinformatics (R/Python, optimally also pipeline tools such as Nextflow/Docker/Snakemake)
- Strong interest in translational tumor immunology, familiarity with immunology terms and data
- Good command of written and oral English
- Ability to work both independently and as part of a team
Excellent framework conditions: state-of-the-art equipment and opportunities for international networking at the highest level
Access to international research networks
Doctoral salary with the usual social 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
Unleash your full potential: targeted training and mentoring through the DKFZ International PhD Program and DKFZ Career Service
Our Corporate Health Management Program offers a holistic approach to your well-being
Are you interested?
Then become part of the DKFZ and join us in contributing to a life without cancer!
Dr. Edward Greene
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.