Research associate (computational metabolomics, m/f/d)

The Computational Plant Biochemistry research group at the IPB is seeking applications to fill the position as

Research associate (computational metabolomics, m/f/d)

PostDocs: Salary group E13 TVL, full-time 100 %, limited for two years, PhD students: Salary group E13 TVL, 75 %, limited for three years

to be filled immediately.

Who we are:

The Leibniz Institute of Plant Biochemistry (IPB) is a non-university research institution of the Leibniz Association on the Weinberg Campus of the Martin Luther University Halle-Wittenberg. As a foundation under public law, the IPB is under direct supervision of the state of Saxony-Anhalt.

The IPB is an internationally recognized research institution and consists of four scientific Departments, additional independent junior research groups, and the Department Administration & Infrastructure (about 200 employees, including about 40 PhD students). Research at the IPB aims to understand the (bio)chemical basis of plant resilience and performance in challenging environments related to climate change. The IPB offers excellent research facilities and state-of-the-art infrastructure to investigate the chemical diversity, biochemical interactions, and biological roles of small natural molecules in plants and fungi, with an emphasis on specialized metabolites, chemical mediators, and relevant molecular networks of functional gene and protein regulation (https://www.ipb-halle.de/en/).

Research topic:

As a (bio-) informatician, you will join our research group Computational Plant Biochemistry, which focuses on Computational Metabolomics and develops methods for processing and interpreting mass spectrometry data in the context of plant biochemistry and biodiversity research.

Your tasks:

• Development of methods for the characterization and identification of metabolites
• Adaptation and use of statistical methods to detect patterns and relevant connections in metabolomics data
• Integration of data from multiple Omics experiments

Your profile:

• You hold a university degree (master or PhD) in bioinformatics or computer science, with experience in algorithm and software engineering and statistics
• You are able to program in the statistics framework R, and have worked in Python and Java
• Knowledge in metabolomics or chemistry will be an advantage

Our benefits:

• Excellent working conditions in an international environment
• Flexible and family-friendly working hours and possibility of home-office
• Offer of professional training courses and measures for skill improvement
• Compensation according to TV-L (including annual special payment)
• Contribution to your company pension plan (VBL)
• On-site opportunities for health promotion

How to apply and information:

For further information, please contact Dr. Steffen Neumann , Tel.: +49 (0) 345 5582-1770, e-mail: sneumann(at)ipb-halle.de.

Please, submit a single pdf document (letter off motivation, CV, certificates, publication list, etc.) quoting reference number 16/2024 until August 31^st, 2024 to bewerbungen(at)ipb-halle.de.

Foreign qualifications must comply with German standards (TV-L-EntgeltO Protokollerklärung Nr. 1 Absatz 4) and be certified (equivalence test in Germany, subject to a fee) and presented to IPB Human Resources at the time of hiring: (https://www.kmk.org/zab/central-office-for-foreign-education).

Diversity, family and equal opportunities:

The IPB aspires to the goal of equal opportunity, diversity, and the promotion of work-life balance as it was awarded the certificate "Total E-Quality". In addition, the IPB is a member of the nationwide company network "Success Factor Family" and of the “Diversity Charter” (Charta der Vielfalt).

Further information can be found at: https://www.ipb-halle.de/en/institute/

Data protection:

Please note, the data protection information for applicants (m/f/d) according to Article 13 and 14 GDPR on data protection processing during the application process: https://www.ipb-halle.de/en/career/data-protection-information-for-applicants/