• Heidelberg


PhD Position – Computational Mass Spectrometry and Biomedical Data Science (m/f/d)
part-time 70% - JobID: P0025V507

as soon as possible searched for Institute for Computational Biomedicine to work at the research group of Dr. Junyan Lu.

The position is limited to 3 years with option of further extension. Salary will be paied according to TV-L.

The research group of Computational Omics and Precision Oncology, led by Dr. Junyan Lu, at Heidelberg University Hospital offers two fully funded positions for PhD Students in the area of bioinformatics and biomedical data science. Dr. Lu’s team works closely with the partners within the SMART-CARE consortium, which is a collaboration between University Hospital Heidelberg, Heidelberg University, Mannheim University of Applied Sciences, the German Cancer Research Centre (DKFZ) and European Molecular Biology Laboratory (EMBL). It aims to develop novel systems medicine approaches to battle cancer recurrence, using the integration of high-quality proteome and metabolome mass spectrometry data with other ‘omics and clinical data. The SMART-CARE consortium brings together clinical, mass spectrometry and computational expertise to tackle the urgent need for developing and establishing powerful and standardisable methods for proteome and metabolome analysis, as well as leveraging the power of multi-omics and machine learning to achieve high precision and robustness. Your primary research goal is to identify robust and translatable biomarkers for tumor progression, recurrence, and treatment response through analyzing and integrating high-throughput omics datasets (e.g. proteomics, metabolomics, transcriptomics, genomics and etc.) together with clinical data. You will have the opportunity to shape your own research profile by pursuing research in method development and collaborative analysis of novel datasets.

Tasks and responsibilities
- Perform in-depth analysis on each individual omic dataset and conduct integrative data analysis on multi-omics datasets using various computational tools (e.g. statistical inference, network modeling, machine learning and etc.) to identify features that can explain the heterogeneity in clinical outcome and treatment response.
- Interpret the biological meaning of the identified features and evaluate the potential of those features as candidates for robust clinical biomarkers.
- Collaborate with clinical and experimental groups in SMART-CARE to implement your computational methods and biological insights into clinical practice and decision making.
- One of the two PhD positions will focus more on multi-omics data analysis/integration method/software development and the other one will focus on biological discovery and interpretation.
- Publish your computational methods and biological discoveries in scientific articles, and publish scientific software as, e.g., R/Bioconductor packages.

- Master’s degree or equivalent degree in bioinformatics, informatics, computational biology, or related subjects.
- Good programming skills in at least one programming language, preferably in R.
- Good knowledge and understanding of the concepts of cancer biology, personalized medicine, and biomarker discovery.
- Experience with the analysis of high-throughput omics datasets (e.g proteomics, transcriptomics, genomics and etc.) and interest in implementing machine learning and deep learning models is a bonus.
- You are enthusiastic about data science and advancing cancer research. You enjoy collaborative work and like to communicate concepts and results to other scientists in different fields of research.

What we offer
- Target-oriented individual further education and training opportunities
- Targeted training on the job
- Ticket for public transport
- Possibility of child care (crèche and kindergarten) as well as subsidy for holiday care for school children
- Active health promotion
- Company pension scheme
- Access to the university library and other university facilities (e.g. university sports)

Contact & Application
For further information please contact Dr. Junyan Lu via This email address is being protected from spambots. You need JavaScript enabled to view it..


Applications will be accepted until 09.01.2022. Please forward your complete application in a single pdf document - including a cover letter stating your motivation and research experience, your CV and the contact information of two to three referees by e-mail.

Universitätsklinikum Heidelberg
Institute for Computational Biomedicine
Dr. Junyan Lu, Research Group Leader
Im Neuenheimer Feld 130.3
69120 Heidelberg
This email address is being protected from spambots. You need JavaScript enabled to view it.