Bioinformatician / Statistician / Data Scientist

The Max Planck Institute for Biology of Ageing was founded in 2008 for the purpose of understanding fundamental mechanisms of healthy ageing. It is part of a broad network of research institutions in the Cologne-Bonn area dedicated to research on ageing and age-related disease, constituting a vibrant and collaborative environment for research. Equipped with state-of-the-art technology and excellent core facilities, to which the successful candidate would have access, the institute provides outstanding research opportunities for its scientists. The Institute hosts employees from 23 nations, and will grow to 350 members in the new building.
The Bioinformatics Core Facility has an open position for a
The Bioinformatics Core Facility is looking for a new member with a strong background in statistics and data analysis. The group supports all institute members with state-of-the-art computational biology tools and analysis. Our range of services includes: Analytics, SaaS (Software as a Service); PaaS (Platform as a Service); IaaS (Infrastructure as a Service).
For the analysis of biological data, the core facility maintains itself up-to-date with continuously developing and emerging tools. Most of the work is done on the piping of data between software. We do this with a developer's mind, making sure all our work is readily applied to similar datasets (more information on The ideal candidate should be able to solve the exercise in as well as explain her/his implementation during an interview.
The new member will have two main tasks:
1. Analyze biological data - mostly NGS
2. Be the reference statistician for Q&As and implementation of statistical     
    methods in the group
Your skills:
— data-scientist / analyst / statistician / bioinformatician with a Ph.D. in related field
— a strong passion for data analysis
— very good level of statistics
— experienced in bash, R, and Python (Perl and/or C/C++ is a plus)
— interest in answering biological questions (previous experience with biological data is a plus)
— able to complete the exercise in
— willing to reinvent her/him-self in order to solve new challenges
— very good interpersonal skills
— service / customer oriented
What we offer:
— a highly dynamic international research atmosphere in one of Germany's biggest research societies
— in-house only HPC cluster with 28 nodes, 1150 CPUs, and 8,2 Tb RAM
— access to the Max Planck Computing & Data Facility
— dedicated systems administrator
— dedicated time for own research/development
— professional development: we highly encourage our members to take time and/or courses for further development
— both genders are equally encouraged to take parenting time
The employment contract is based on contracts for the civil service (TVöD-Bund, Tarifvertrag für den öffentlichen Dienst) and will initially be time limited. The Max Planck Society is committed to employ more disabled individuals and especially encourages them to apply. The Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and especially encourages them to apply.
To apply, upload one pdf-file (job code 19/2015) containing a cover letter, your CV, all in a single pdf-file on our application website.
Informal inquiries regarding the offer and/or the exercise are welcome and should be sent to  
For further information about the Institute see
Are you interested?
Then please upload your complete application documents in electronic form as one single PDF-document via our online application platform/website until October 26
How to apply:
Please upload your complete application documents in electronic form as one single PDF-document via our online application platform/website until October 26
Send application to
 online application platform/website until October 26

While applying for the job please refer to jobvector and use the following reference number: 19/2015

About Max-Planck-Institut für Biologie des Alterns

Geschäftsführender Direktor Prof. Dr. Nils-Göran Larsson  

More about Max-Planck-Institut für Biologie des Alterns

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