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Archiv-Übersicht     Angebot Nr. 13278

Angebotsdatum: 5. Februar 2019
Art der Stelle: Doktorarbeit
Fachgebiet: Informatik > Bioinformatik
Titel des Themas: Benchmarking of NGS-focused bioinformatics methods

Institut: Robert Koch-Institut
Herr Thilo Dr. Muth
Nordufer 20
13353 Berlin
Tel.:    Fax.:
Bundesland: Berlin
E-Mail Kontakt: mail

Beschreibung: Founded in 1891, the Robert Koch Institute (RKI) is one of the world's oldest biomedical research institutions.

Today, the RKI is Germany's national public health institute. It employs more than 1,200 people, provides excellent research infrastructure and pursues a modern approach to its scientific work.

We are offering the following position in Division MF 1 "Bioinformatics" of Department MF "Methodology and Research Infrastructure" for a

Doctoral Candidate (PhD Position m/f/d)
(public sector wage scale TVöD grade E 13, 65%).
The contract is limited to three years. The position will be available immediately.

The position is part-time to allow an opportunity for independent research dedicated to completion of doctoral work.

Tasks and responsibilities:
• Analysis of data from next-generation sequencing platforms and data simulations for benchmarking of bioinformatics sequence analysis methods
• Development and testing of metrics for evaluating software based on existing genome-based pathogen data sets
• Development and visualization of a real-time benchmarking framework for evidence-based selection and integration of bioinformatics methods for genome-based pathogen classification
• Development of manually and automatically created pipelines for integrating benchmarking results
• Publication and presentation of research results

Requirements and qualifications :
• Master’s degree in a quantitative discipline, e.g. bioinformatics, computer science, mathematics,
physics, statistics, or quantitative biology
• Experience in the development of software, algorithms, or statistical procedures
• First experience in the validation or interpretation of results
• Knowledge in the analysis of high-dimensional, complex data
• Independent programming experience (e.g. in C++, Java, Python, Matlab, or R)
• In-depth knowledge or practical experience in at least one of the following fields are of advantage:
o Experience with pipelining tools (e.g. snakemake, galaxy or similar frameworks)
o Test-driven software development (e.g. unit tests)
o Experience in collaborating with experimental groups
o Analysis of omics data (e.g. NGS, mass spectrometry)
o Molecular biology, microbiology and infection biology

• Language skills (CEFR level): English at least C 1 (advanced knowledge), elementary knowledge of German (A 2) is of advantage.
We expect non-German speaking applicants to be willing to obtain the level of language proficiency required to function effectively in your work environment.

For more information, please contact
Dr. Thilo Muth
Tel.: ++49 30 18754 2990
E-Mail: MuthT[at]rki.de

Please note that in single cases the Federal Ministry of Health may access your application documents to ensure appropriate personnel selection within its scope as supervisory authority. Your data will be deleted immediately after the completion of the application process.

The RKI is located in Berlin – Germany's vibrant, multicultural capital in the heart of Europe. The Institute's facilities are set in the environment of a clean, green city that is home to first class art, historical and science museums and well-known theatres. Public transit links to other districts and the surrounding countryside are excellent.

The RKI offers flexible work hours and terms of employment that promote in as far as possible employee life-work balance. Education and training are also provided based on employee needs. The RKI also has a comprehensive health maintenance program and assists incoming staff members and their families in settling in their new location.

The RKI is an affirmative action, equal opportunity employer.

Submit your application via the public service job portal Interamt at www.interamt.de by 1 March 2019. Please note the position identification number: 493179 (StellenID)/Kz. 22/19.

If you have questions about the application procedure, please contact
Christine Steinicke
Tel.: ++49 30 18754 2653
E-Mail: SteinickeC[at]rki.de

To learn more about the RKI please visit the institute's website at www.rki.de.

Anfangsdatum: 1. April 2019
Geschätzte Dauer: 3 Jahre
Bezahlung: 65% E 13 TVöD