Postdoc / Bioinformatician – Computational Multi-Omics for Precision Oncology (m/f/d)

Universitätsklinikum Heidelberg; Heidelberg; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Multi-omics data analysis

Drug screen data processing

HPC/cloud computing

Data management

Ausbildung

PhD in Bioinformatics, Computational Biology, Data Science, or related field

Jobbeschreibung

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.

Your tasks

• 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).

Your profile

• 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.

Über uns

For further information please contact Dr. Junyan Lu via e-mail.

Interested?

Applications will be accepted until 20.10.2025.