PhD Position in Computational Biomedicine: The Institute for Computational Biomedicine at Heidelberg University is seeking a highly motivated PhD candidate to contribute to the TRANS-AML-EU consortium, an initiative focused on advancing personalized medicine in Acute Myeloid Leukemia (AML) through multi-omic integration.
Designation
PhD Position in Computational Biomedicine
Research Area
- Multi-omic integration
- Acute Myeloid Leukemia (AML)
- Functional precision medicine
Location
Institute for Computational Biomedicine, Heidelberg, Germany
Eligibility/Qualification
- Master’s degree in Bioinformatics, Computational Biology, Data Science, or a related field.
- Experience in bulk/single-cell multi-omics data analysis and/or drug screening data processing.
- Proficiency in R or Python programming.
- Strong interest in translational cancer research and collaborative environments.
Job Description
| Task | Description |
|---|---|
| Literature Review | Research publicly available datasets for initial integrative analysis. |
| Pipeline Design | Design cross-site preprocessing and harmonization pipelines for multi-omics and functional data. |
| Integrative Analysis | Perform analyses to identify biological hallmarks and conduct functional analyses (e.g., GSEA). |
| Collaboration | Work closely with European consortium partners on data sharing while ensuring privacy compliance. |
| Documentation and Publishing | Document analysis results and prepare scientific publications. |
How to Apply
Interested candidates should send their applications directly to Dr. Junyan Lu via email at junyan.lu@uni-heidelberg.de.
Last Date for Apply
Applications will be accepted until March 10, 2025.
For further information regarding the TRANS-AML-EU consortium, please visit: TRANS-AML-EU Project
