The Klinikum rechts der Isar university hospital of the Technical University of Munich is a major European center of medical care and education and teaching with 1,161 beds and around 5,500 employees. Every year around 60,000 patients benefit from inpatient and around 250,000 patients from outpatient care. The hospital is a supra-maximal care home that covers the entire spectrum of modern medicine. Since 2003, the Klinikum rechts der Isar is an institute of public law of the Free State of Bavaria.
The Technical University of Munich (TUM), and the German Cancer Research Center (DKFZ) Heidelberg are seeking a
Staff Scientist (f/m/d), PhD (f/m/d) or Postdoctoral Position (f/m/d) in Bioinformatics
We are offering a Staff Scientist, PhD or Postdoctoral position at the newly founded Institute for Molecular Oncology and Functional Genomics (www.imo.med.tum.de). The Institute is at the new Center for Translational Cancer Research (TranslaTUM), located in the heart of Munich.
Our research is focused on gene discovery, functional gene annotation and signaling in cancer. We develop and deploy genetic technologies and bioinformatics methods for high-throughput applications, such as genome-scale screening approaches using CRISPR or transposon systems. We are also running a state of the art sequencing facility and conduct translational studies using human samples or genetically engineered model organisms. Multidisciplinary teams of cancer biologists, mouse modelers, medical doctors, molecular geneticists, sequencing experts and bioinformatitians are working closely together in a highly creative environment and produce cutting edge cancer research (e.g. Nature Genetics 2015;47(1):47; PNAS 2015;10;112(45):13982; Nature Protoc. 2017 Feb;12(2):289; Nature. 2017 Dec 7;552(7683):121). Ongoing work in collaboration with the Institute of Medical Informatics, Statistics and Epidemiology (www.imse.med.tum.de) also includes the development of database infrastructures for the integration of genomic, pharmacologic and clinical patient data in a combined research / translational setting.
- The successful applicant (f/m/d) will be part of a bioinformatics unit at the institute; he/she will develop and apply new algorithmic and statistical methods for analyzing, integrating and visualizing large-scale genomic datasets
- Moreover, he/she will be responsible for the maintenance and/or improvement of already existing computational pipelines with algorithms for NGS data processing
- He/she will be able to run his/her own projects and/or will also support studies in close interaction with experimental or clinical scientists
- For all tasks the applicant (f/m/d) will benefit from extensive expertise available in the unit in handling and integrating large scale genomic datasets.
Your profile and desired skills:
- Experience and education: Master’s degree in bioinformatics or equivalent expertise in a relevant subject area (e.g. Computational Biology, Genetics / Genomics, Computer Sciences, Physics or similar)
- Programming skills in at least one programming language (Perl, Python, Java etc.)
- Broad knowledge of statistics and state-of-the art tools for genomic analysis (e.g. BWA, Picard, GATK)
- Experience with statistical software packages (preferably R)
- Basic knowledge in genetics
- Strong communication skills
- Willingness to work in an interdisciplinary environment
- Payment is according to tarif (TV-L). We give priority to severely disabled applicants (f/m/d) with essentially equal qualifications.
We are looking forward for your application!
Please send your application including a CV, certificates, recommendation letters in one PDF file to Prof. Roland Rad (E-mail: Roland.Rad@tum.de).
Prof. Dr. med. Roland Rad
Institut für Molekulare Immunologie und Experimentelle Onkologie
Klinikum rechts der Isar der Technischen Universität München
Ismaninger Straße 22