Staff Scientist (f/m/d), PhD (f/m/d) or Postdoctoral Position (f/m/d) in Bioinformatics

Staff Scientist (f/m/d), PhD (f/m/d) or Postdoctoral Position (f/m/d) in Bioinformatics

Klinikum rechts der Isar der Technischen Universität München

Munich, Germany

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.

Your duties:

  • 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).

Herrn
Prof. Dr. med. Roland Rad
Institut für Molekulare Immunologie und Experimentelle Onkologie
TranslaTUM
Klinikum rechts der Isar der Technischen Universität München
Ismaninger Straße 22
81675 München

E-Mail: Roland.Rad@tum.de

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Staff Scientist (f/m/d), PhD (f/m/d) or Postdoctoral Position (f/m/d) in Bioinformatics