Informatiker (m/w/d)

Halle (Saale)

Full-time

Role descriptionGelesen

The Computational Plant Biochemistry research group at the IPB is seeking applications to fill the position as PhD computational metabolomics (m/f/d) Salary group E13 TV-L, 75 %, limited till 31.12.2027 to be filled immediately. 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 and additional independent research groups (approx. 200 employees, including around 40 doctoral 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 study the chemical diversity, biochemical interactions and biological functions of small natural product molecules in and from plants and fungi (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 university degree (master or diploma) in computer science, bioinformatics, or a related field Strong knowledge of algorithm and software engineering and statistics Experience with the statistical language R, Python, and Java Knowledge in metabolomics or chemistry will be an advantage Excellent working conditions in an international environment Flexible and family-friendly working hours 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

Requirements26 items

01The Computational Plant Biochemistry research group at the IPB is seeking applications to fill the position as
02PhD computational metabolomics (m/f/d)
03Salary group E13 TV-L, 75 %, limited till 31
04to be filled immediately
05The 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
06As a foundation under public law, the IPB is under direct supervision of the state of Saxony-Anhalt
07The IPB is an internationally recognized research institution and consists of four scientific Departments and additional independent research groups (approx
08200 employees, including around 40 doctoral students)
09Research at the IPB aims to understand the (bio)chemical basis of plant resilience and performance in challenging environments related to climate change
10The IPB offers excellent research facilities and state-of-the-art infrastructure to study the chemical diversity, biochemical interactions and biological functions of small natural product molecules in and from plants and fungi (https://www
11Research topic:
12As 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
13Your tasks:
14Development of methods for the characterization and identification of metabolites
15Adaptation and use of statistical methods to detect patterns and relevant connections in metabolomics data
16Integration of data from multiple Omics experiments
17university degree (master or diploma) in computer science, bioinformatics, or a related field
18Strong knowledge of algorithm and software engineering and statistics
19Experience with the statistical language R, Python, and Java
20Knowledge in metabolomics or chemistry will be an advantage
21Excellent working conditions in an international environment
22Flexible and family-friendly working hours
23Offer of professional training courses and measures for skill improvement
24Compensation according to TV-L (including annual special payment)
25Contribution to your company pension plan (VBL)
26On-site opportunities for health promotion