Postdoctoral Position in Natural Products: The University of Geneva’s School of Pharmaceutical Sciences is seeking a talented postdoctoral researcher to join the Bioactive Natural Products Unit as part of the ANR-SNF funded project MetaboLinkAI. This groundbreaking initiative leverages artificial intelligence (AI), knowledge graphs (KG), and machine learning to accelerate natural product research and metabolomics. The researcher will develop innovative methods for characterizing the metabolome of chemodiverse plants and micro-organisms, contributing to the discovery of bioactive natural products.
Postdoctoral Researcher Position in Natural Products Metabolomics and Computational Mass Spectrometry
Designation:
Postdoctoral Researcher (100%)
Research Area:
Natural Products Metabolomics, Computational Mass Spectrometry, AI, and Machine Learning
Location:
Phytochemistry and Bioactive Natural Products Research Unit,
School of Pharmaceutical Sciences,
University of Geneva, Switzerland
Lab Website
Eligibility/Qualification:
- PhD or equivalent experience in natural product chemistry, metabolomics, cheminformatics, bioinformatics, computational chemistry, or a related field.
- Familiarity with metabolomics data analysis and interpretation.
- Proficiency in programming languages commonly used in metabolomics (e.g., R, Python).
- Rigorous and organized approach to methodological data management.
Job Description:
Key Responsibilities:
- Process and integrate data from LC-MS metabolite profiling into a Metabolomics Knowledge Graph (MS/KG).
- Collaborate on the targeted isolation of natural products (NPs) for proof-of-concept bioactive scaffold discovery.
- Assist in generating fully characterized extracts for benchmarking.
- Work closely with AI experts to deploy next-generation AI solutions in metabolomics.
Laboratory Expertise:
The Phytochemistry and Bioactive Natural Products research unit, led by Prof. Jean-Luc Wolfender, specializes in profiling and isolating metabolites from complex extracts. Training in wet-lab techniques is available for candidates with strong computational skills.
How to Apply:
Send your application, including:
- CV
- Motivation letter
- Contact details of two referees
Submit via email to Prof. Jean-Luc Wolfender at Jean-Luc.Wolfender@unige.ch.
Starting Date:
April 1, 2025, or as mutually agreed.
Last Date to Apply:
Applications will be considered until the position is filled.
This position provides an exciting opportunity to contribute to cutting-edge research and innovation in metabolomics and natural product discovery while collaborating with leading experts in the field.
