Research associate (computational metabolomics, m/f/d) (5/2025)

de.NBI; Halle (Saale); On-site; USD 58,079 - 81,310; Full time

Benefits offered by this job

Excellent working conditions

Flexible working hours

Professional training courses

Pension plan contribution

Health promotion opportunities

Job summary

A renowned research institution in Germany is seeking a Research associate in computational metabolomics. The role involves developing methods for metabolite characterization, employing statistical techniques, and integrating omics data. Ideal candidates will have a degree in bioinformatics or computer science, experience in software engineering, and programming skills in R, Python, and Java. This is a full-time position under the TV-L salary group E13 with excellent working conditions and benefits including professional training and flexible working hours.

Qualifications

• University degree in bioinformatics or computer science.
• Experience in algorithm and software engineering.
• Ability to program in R, and familiarity with Python and Java.

Responsibilities

• Develop methods for metabolite characterization and identification.
• Use statistical methods for metabolomics data analysis.
• Integrate data from multiple omics experiments.

Skills

Programming in R

Software engineering

Machine learning

Python

Java

Knowledge in metabolomics

Education

Master or PhD in bioinformatics or computer science

Job description

Research associate (computational metabolomics, m/f/d) (5/2025)

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

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 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 machine learning
• 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

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 and 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/).

How to apply and information

For further information, please contact Dr. Steffen Neumann, Tel.: [phone]‑1770, e‑mail: [e-mail].

Please submit a single PDF document (letter of motivation, CV, certificates, publication list, etc.) quoting reference number 05/2025 until March 31, 2025 to [e-mail].

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 equal opportunity, diversity, and the promotion of work‑life balance as it was awarded the certificate “Total E‑Quality”. It is a member of the nationwide company network “Success Factor Family” and of the “Diversity Charter” (Charta der Vielfalt).

Applications from disabled persons or applicants with equivalent status are expressly welcome.

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/.