Machine learning scientist Jobs in Neckargemünd

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

Bioinformatic PhD Student in Translational Immunology

Reference number : 2025-0033

Cancer is constantly evolving, and so is the way we treat it. The advent of high-throughput single-cell sequencing means we can understand the interaction between tumor cells and the immune system in unprecedented depth. In Professor Platten’s research group at the German Cancer Research Center (DKFZ) and the Neurology Clinic at UMM, we are working to convert this data into clinically relevant information by applying the latest analytical techniques, as well as developing our own tools. Most recently, we have shown that it is possible to train a machine learning model to identify tumor-reactive T cells infiltrating any tumor type, cutting months off the time it takes to develop personalized cell therapies for patients.

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.

Your Tasks

• 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

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