Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&job...
PhD Student - Computational Multi-Omics for Precision Oncology (m/f/d)
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starting on April 1st at the Institute for Computational Biomedicine.
Join our exciting mission of advancing personalised medicine in AML through multi-omic integration!
We are seeking a highly motivated PhD 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). More information about the TRANS-AML-EU consortium can be found at:
The PhD student will focus on:
1) developing robust pipelines and frameworks for preprocessing, harmonization, and integrative analysis of genomic, transcriptomic, proteomic, and metabolomic data
2) Integrating publicly available multi-omic datasets as well as datasets produced by consortium partners to identify hallmarks that describe different dimensions of disease biology in AML
3) Interpreting those hallmarks and identify hallmarks that are linked to ex vivo or in vivo drug sensitivity.
Together, the outputs of this project will form the foundation for patient stratification, biomarker identification, and translational tools for precision oncology.
- Job-ID: V000015357
- Field of application: Institute for Computational Biomedicine
- Location: Heidelberg
- Job Category: Science and teaching
- Working hours: Part time (70 %)
- Published: 20.02.2026
- Limitation:Temporary (3 Jahre)
- Contract:TV-L
Your tasks
- Literature and database research to identify publicly available datasets for initial integrative analysis
- Design cross-site preprocessing and harmonization pipelines for multi-omics and functional drug screening data.
- Perform integrative analysis to identify hallmarks and downstream functional analysis (e.g. gene set enrichment analysis) for biological interpretation.
- Collaborate closely with European partners (Heidelberg, Düsseldorf, Helsinki, Stockholm, Milan, VEIL.AI) on federated, privacy-compliant data sharing.
- Document analysis results and prepare scientific publications.
Your profile
- Master degree in Bioinformatics, Computational Biology, Data Science, or related field.
- Experience in bulk/single-cell multi-omics data analysis and/or drug screen data processing.
- Experience in R or Python programming.
- Strong interest in translational cancer research and working in a collaborative, interdisciplinary environment.
What we offer
- Collectively agreed remuneration TV-L E13, attractive company pension scheme (VBL)
- 30 days vacation
- Sustainable travel: job ticket
- Family-friendly working environment: cooperative arrangements for childcare, subsidy for child vacation care, advice for employees with relatives in need of care
- Wide range of health, prevention and sports offers
- Possibility to publish scientifically is offered and supported
- Regular team meetings
- Interdisciplinary cooperation with wet-lab biologist and clinicians
- Attend domestic and international conferences
- Join the renowned PhD program at Heidelberg Biosciences International Graduate School (HBIGS)
Contact & Application
For further information please contact Dr. Junyan Lu via mail.
Interested?
Applications will be accepted until 10.03.2025 direct online.
Institute for Computational Biomedicine
Dr. Junyan Lu
Im Neuenheimer Feld 130.3
69120 Heidelberg
junyan.lu@uni-heidelberg.de
Note: The UKHD is subject to the provisions of the Infektionsschutzgesetz. Therefore, a valid measles immunity certificate is required for all persons employed at the UKHD.
The UKHD embraces diversity and values diversity.
Regardless of age, gender, sexual identity, disability, origin or religion, we offer everyone the same opportunities. If one gender is underrepresented in a particular area, we place particular emphasis on counteracting this imbalance. If they have the same aptitude, qualifications and professional performance, we give priority to people with severe disabilities when considering them for vacancies.
Classification is based on qualifications and personal requirements. The salary (gross) is for a full-time position and does not include the annual bonus or other allowances.
Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&job...
