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- Aufgaben: Join our team to develop methods for metabolite characterization and data integration.
- Arbeitgeber: Be part of the Leibniz Institute for Plant Biochemistry, a leader in plant research.
- Mitarbeitervorteile: Enjoy flexible hours, home-office options, and professional training opportunities.
- Warum dieser Job: Contribute to impactful research in biodiversity while working in an international environment.
- Gewünschte Qualifikationen: Master or PhD in bioinformatics or computer science; programming skills in R, Python, and Java required.
- Andere Informationen: Diversity and work-life balance are prioritized; apply by December 15th, 2023.
Das voraussichtliche Gehalt liegt zwischen 42000 - 58000 € pro Jahr.
Ort: Wettin
Unternehmen: Leibniz-Institut für Pflanzenbiochemie
Auf diesen Job bewerben
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 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 5582-1470, e-mail: sneumann@ipb-halle.de. Please, submit a single pdf document (letter of motivation, CV, certificates, publication list, etc.) quoting reference number 15/2023 until December 15th, 2023 to bewerbungen@ipb-halle.de. We will run online interviews with selected candidates in the second calendar week in 2024.
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.
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.
Leibniz-Institut für Pflanzenbiochemie Weinberg 3 | 06120 Halle (Saale) | E-Mail: pr@ipb-halle.de | Tel: +49 (0) 345 5582 0
Research associate (computational metabolomics, m/f/d) für the Computational Plant Biochemistry research group Arbeitgeber: Leibniz-Institut für Pflanzenbiochemie
Kontaktperson:
Leibniz-Institut für Pflanzenbiochemie HR Team
sneumann@ipb-halle.de
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Research associate (computational metabolomics, m/f/d) für the Computational Plant Biochemistry research group
✨Tip Number 1
Familiarize yourself with the latest trends and technologies in computational metabolomics. This will not only help you understand the field better but also allow you to discuss relevant topics during your interview, showcasing your passion and knowledge.
✨Tip Number 2
Connect with current or former employees of the Leibniz-Institut für Pflanzenbiochemie on platforms like LinkedIn. They can provide valuable insights into the work culture and expectations, which can help you tailor your approach during the interview.
✨Tip Number 3
Prepare to demonstrate your programming skills in R, Python, and Java during the interview. Consider working on a small project or case study that showcases your ability to analyze metabolomics data, as practical examples can make a strong impression.
✨Tip Number 4
Research the specific projects and publications of the Computational Plant Biochemistry research group. Being able to reference their work and express how your skills align with their goals will show your genuine interest in the position and the institute.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Research associate (computational metabolomics, m/f/d) für the Computational Plant Biochemistry research group
Tipps für deine Bewerbung 🫡
Research the Institute: Begin by researching the Leibniz-Institut für Pflanzenbiochemie. Understand their focus on Computational Metabolomics and familiarize yourself with their recent publications and projects.
Tailor Your Motivation Letter: Craft a motivation letter that highlights your relevant experience in bioinformatics, algorithm development, and programming skills in R, Python, and Java. Make sure to connect your background to the specific research topics mentioned in the job description.
Compile Your Documents: Prepare a single PDF document that includes your CV, certificates, publication list, and any other relevant materials. Ensure that all documents are up-to-date and formatted professionally.
Follow Application Instructions: Submit your application by emailing the compiled PDF to bewerbungen@ipb-halle.de, quoting the reference number 15/2023. Double-check that you meet the deadline of December 15th, 2023.
Wie du dich auf ein Vorstellungsgespräch bei Leibniz-Institut für Pflanzenbiochemie vorbereitest
✨Prepare Your Technical Skills
Make sure to brush up on your programming skills in R, Python, and Java. Be ready to discuss specific projects where you applied these languages, especially in the context of metabolomics or data analysis.
✨Understand the Research Focus
Familiarize yourself with the latest developments in computational metabolomics and plant biochemistry. Being able to discuss recent research findings or methodologies will show your genuine interest in the field.
✨Showcase Your Problem-Solving Abilities
Be prepared to discuss how you've approached complex problems in past projects. Highlight your experience with statistical methods and how you've used them to detect patterns in data.
✨Ask Insightful Questions
Prepare thoughtful questions about the research group's current projects and future directions. This demonstrates your enthusiasm for the role and helps you assess if the position aligns with your career goals.
