Phd Student

The **Children’s Hospital Augsburg** (Swabian Children’s Cancer Center) and the **University of Augsburg** (Biomedical Informatics, Data Mining and Data Analytics) are looking for a

**PhD student (M/F/d) in experimental and computational pediatric tumor research (part-time)**

Recently, we have performed integrative, large-scale multi-omic characterizations of pediatric rhabdoid tumors (Johann et al. Cancer Cell 2016; Erkek, Johann et al, Cancer Cell 2019) and are now aiming to expand these techniques to other SMARCB1-deficient tumors. Furthermore, to facilitate the translation of the results back to the clinic, we will perform high-throughput drug screens which complement the multi-omics characterization of the tumors. To handle both the experimental and the computational part of this project, we are looking for a highly-motivated PhD student, who is able to work at the interface of molecular biology, epigenetics and computational biology.

As clinic of the University Hospital Augsburg (UKA), we are part of a rapidly growing academic center. The UKA is a large-scale care provider with 1699 patient beds in 22 clinics and approximately 2800 employees. Scientifically, the hospital is member of the NCT-WERA cooperation and thus one location of the NCT (national center for tumor diseases).

Job describtion
We are looking for a motivated PhD student (M/F/d) with a background in computational biology (and ideally epigenetics) and an interest in both wet and dry lab work. Our aim is to decipher the epigenetic landscape of various neoplasias that are characterized by the loss of the tumor-suppressive SMARCB1 protein, including rhabdoid tumors and epithelioid sarcomas.

The successful applicant will
- plan and perform drug treatment studies in cell lines of the aforementioned entities
- perform the analysis of the generated datasets

**Requirements**:

- Graduation (Master of Science) in biology, cancer biology, genetics, bioinformatics or a related field (with demonstrated experience in both bioinformatics and experimental work)
- Previous experience in the analysis of array and/or high throughput sequencing data is mandatory (preferably in R and in a scripting language such as Python)
- Ability to collaborate and communicate within interdisciplinary teams (in German or English)

We offer
- Integration into both a clinical / experimental and a computational working group
- limited to two years with the option of extension
- the possibility to work on your PhD thesis in a rapidly evolving community
- the opportunity to learn a wide variety of experimental and computational methods
- Support in generating an own, academic profile
- attractive offers in the context of company health management, because your health is important to us
- The grouping takes place in EG 13 TV-L taking into account your qualifications and personal requirements including the social benefits customary in the public service (company pension, annual special payment)

Further information

Do you have any questions about the advertised position?

Application documents

We look forward to you