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Postdoc / Bioinformatician – Computational Multi-Omics for Precision Oncology (m/f/d)
Résumé du poste
A leading research hospital in Heidelberg is seeking a highly motivated postdoctoral researcher to join a project focused on integrating multi-omics data for precision oncology. The successful candidate will work closely with European partners and contribute to significant publications. A PhD in a related field and experience in data analysis and HPC environments are required. Applications are accepted until 20.10.2025.
Qualifications
- PhD in a relevant field.
- Experience in multi-omics data analysis and/or drug screen data processing.
- Experience with HPC/cloud computing and secure data management.
Responsabilités
- Establish and maintain computational and data management infrastructure.
- Design preprocessing and harmonization pipelines for multi-omics data.
- Collaborate on data sharing with European partners.
- Contribute to high-impact publications and grant applications.
Connaissances
Formation
starting on December 1st at the Institute for Computational Biomedicine.
Join our exciting mission to decode leukemic dormancy and plasticity in AML!
We are seeking a highly motivated postdoctoral researcher to join Dr. Junyan Lu’s group at Heidelberg University. The position is embedded in the TRANS-AML-EU consortium, a pan-European initiative uniting leading clinical, academic, and industry partners to advance functional precision medicine in Acute Myeloid Leukemia (AML). Funded through the MWK BEGIN program, our group plays a central role in building the computational infrastructure that enables secure, large-scale data integration across Europe.
The postdoc will focus on two pillars:
- Multi-omics data integration: developing robust pipelines and frameworks for preprocessing, harmonization, and integrative analysis of genomic, transcriptomic, proteomic, and metabolomic data.
- Functional drug screen analysis: establishing infrastructures and computational workflows to process, standardize, and integrate ex vivo drug response datasets, linking them with molecular profiles for predictive biomarker discovery.
Together, these infrastructures will form the foundation for patient stratification, biomarker identification, and translational tools for precision oncology.
- Establish and maintain computational and data management infrastructure (local HPC, bwHPC cloud, secure pipelines).
- Design cross-site preprocessing and harmonization pipelines for multi-omics and functional drug screening data.
- Collaborate closely with European partners (Heidelberg, Düsseldorf, Helsinki, Stockholm, Milan, VEIL.AI) on federated, privacy-compliant data sharing.
- Contribute to high-impact publications and future EU grant applications (EIC Pathfinder, Mission Cancer).
- PhD in Bioinformatics, Computational Biology, Data Science, or related field.
- Experience in multi-omics data analysis and/or drug screen data processing.
- Experience with HPC/cloud computing and secure data management.
- Strong interest in translational cancer research and working in a collaborative, interdisciplinary environment.
For further information please contact Dr. Junyan Lu via e-mail.
Interested?
Applications will be accepted until 20.10.2025.
* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.
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