Postdoctoral Scientist in Computational Biology
vor 3 Wochen
**Position**:Postdoctoral Scientist in Computational Biology**
**Department**: Pediatric Neurooncology at DKFZ and KiTZ
**Code number**:2023-0080
The German Cancer Research Center is the largest biomedical research institution in Germany. With more than 3,000 employees, we operate an extensive scientific program in the field of cancer research.
The Hopp Children's Cancer Center Heidelberg (KiTZ) is a joint institution of the German Cancer Research Center (DKFZ), the Heidelberg University Hospital (UKHD) and the University of Heidelberg (UniHD). As a treatment and research center for oncological and hematological diseases in children and adolescents, the KiTZ is committed to scientifically explore the biology of childhood cancer and closely link promising research approaches with patient care - from diagnosis to treatment and aftercare.
The Division of Pediatric Neurooncology at the German Cancer Research Center and the Hopp Children's Cancer Center Heidelberg is offering three postdoctoral positions in computational biology for the International Pediatric Cancer Data Mining project.
**Job description**:
**1. Genomic data mining of clinical bulk sequencing**
This group led by Dr. Robert J. Autry focuses on developing computational methods and workflows to answer clinically relevant questions across the range of childhood cancers by interrogating genomic and epi-genomic alterations. We aim to elucidate the mechanisms underlying cancer predisposition, tumorigenesis and therapeutic response to discover novel therapeutic targets and to improve diagnosis, prevention and clinical outcome in children.
Two postdocs will perform analyses on large-scale bulk genomic sequencing data sets (Whole genome/exome, RNA, methylation, other genomic and epigenomic data types). One position is working on cancer predisposition projects (rare variant burden testing, somatic second hit analysis and collaborations with other institutes). The other postdoc will work on high-grade glioma data to identify potential targets and vulnerabilities in this very high-risk cancer type. Both postdocs will independently manage their own academic research projects, coordinate to meet project deadlines under the mentorship and support of their supervisor. They will also prepare publications, present data both internally and externally, participate in relevant collaborations, and advise and inform other group members on relevant methodology and analytical approaches.
**2. Single-cell / spatial genomics data mining**
**Requirements**:
- The applicants have strong bioinformatics analytical skills and experience with Linux / Unix command lines and programming languages (e.g., C++, Python, R, and Bash).
- Experience in working in machine learning and high-performance computing environments is beneficial.
- Expertise in the analysis and integration of next-generation sequencing and other multi-omics data is a plus, ideally including single-cell or single-nucleus analysis and have a strong interest in oncology.
- Excellent communication skills and the ability to write publications, present research proposals and results, and represent the lab at meetings and conferences.
- Excellent interpersonal skills and the ability to work independently as well as part of a team.
**We offer**:
- Interesting, versatile workplace
- International, attractive working environment
- Campus with modern state-of-the-art infrastructure
- Salary according to TV-L including social benefits
- Possibility to work part-time
- Flexible working hours
- Comprehensive further training program
- Access to the DKFZ International Postdoc Program
**Important notice**:
**Earliest possible start date**: as soon as possible
**Duration**:The positions are initially limited to 2 years with the possibility of prolongation.
The position can in principle be part-time.
**Application deadline**:05.04.2023
**Contact**:
Dr. Supat Thongjuea
Phone +49 (0)15201091154
The DKFZ is committed to increase the proportion of women in all areas and positions in which women are underrepresented. Qualified female applicants are therefore particularly encouraged to apply.
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