RESPONSIBILITIES

The candidate is expected to conduct bioinformatics research and data analysis within projects involving infectious agents, human genomics and cancer initiation. He/She should be capable of interdisciplinary work as he/she will have to collaborate, advise and develop problem solving approaches in close connection with biologists. Excellent communication and team player skills are indispensable.

REQUIREMENTS

Successful candidate shall have completed studies in bioinformatics, hold a PhD, and have documented expertise in its application to biological research. Strong background in computational biology, statistics, and machine learning is essential. Demonstrated knowledge of high-throughput and NGS data analysis and mining software is additionally required. Understanding of genome biology is an asset. Candidates should be proficient in UNIX (Linux), at least one scripting language (e.g. Python or Perl) and the statistics package R/Bioconductor. Familiarity with HPC environments and knowledge of high-level languages (Java, C++) and SQL databases is desirable, as is expertise in accessing public bioinformatics databases.

TERMS

The position is available at earliest convenience.

The successful candidate will work as part of an innovative, multidisciplinary and dynamic research team with state-of-the-art facilities, located within a vibrant city environment. The position is available for two years with an option of further extension.

COMPENSATION

Salary will be according to TVöD depending on qualifications and experience. Employee benefits according to civil service will be offered.

LOCALE

The Max Planck Institute for Infection Biology, Department of Molecular Biology, Berlin 10117, Germany

HOW TO APPLY

Applicants should send a cover letter, CV, publication record and names and ad-dresses of at least three referees until February 15, 2014, exclusively by email to job[at]mpiib-berlin.mpg.de with the keyword "Bioinformatician MolBiol".

DEADLINE

February 15, 2014

POLICY

The Max Planck Society (MPS) is committed to equal opportunities and engages in good practice to increase the representation of disabled people and women within the workplace.