Scientist in Chemometrics or Computational Biology / Scientistess in Chemometrics or Computational Biology

Job Opportunity: Scientist in Lipid Metabolism

Dysregulation of lipid metabolism is a critical factor in the development and progression of metabolic disorders, including obesity, type 2 diabetes, and metabolic dysfunction-associated steatotic liver disease (MASLD). We are seeking a highly motivated scientist with a strong background in chemistry and expertise in mass spectrometry data analysis, chemometrics, and machine learning to join our team. This position is part of our Precision-MASH project, funded by the Swiss National Science Foundation (SNSF).

What You Can Expect

The primary goal of this role is to enhance the identification and screening of novel small molecules, particularly by elucidating the structure and function of emerging lipids linked to metabolic disorders. The successful candidate will be responsible for developing computational pipelines for analyzing mass spectrometry datasets, integrating spectral data, building a spectral library, and applying chemometric and machine learning methods for in-silico annotation.

Key Responsibilities:

• Develop and apply computational pipelines for the identification and annotation of novel lipids.
• Perform in silico structural prediction of novel or low-abundance lipid species using advanced cheminformatics tools.
• Integrate multi-omics data with metabolic modeling approaches to investigate lipid flux and alterations in metabolic pathways.
• Design and implement chemometric and machine learning models for patient stratification based on spectral and imaging data.

Your Profile

The ideal candidate should possess a PhD or Master's degree with at least 5 years of research experience in computational biology, systems biology, bioinformatics, or chemometrics. Proficiency in at least one programming language (R, MATLAB, Python) is essential. A proven track record in mass spectrometry spectral analysis or mass spectrometry imaging analysis, as well as in silico chemical annotation and machine learning methods, is required. Knowledge of metabolism is a plus. We seek an enthusiastic individual capable of working independently and collaboratively within a team. Excellent communication skills and fluency in both spoken and written English are essential.

What We Offer

We provide a supporting and state-of-the-art research environment that fosters scientific and professional development. The successful candidate will have the opportunity to work on a multi-disciplinary research project, engaging with large datasets generated from both pre-clinical and clinical studies. The position is available from September 2025 or as per mutual agreement.

Apply Now

Apply online using the form below. Please note that only applications matching the job profile will be considered.

Questions About the Job?

For further information, please contact:

Prof. Mojgan Masoodi
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