SNSF-funded scientific research position in chemometrics or computational biology
Insel Gruppe
What you can expect
The primary goal of this role is to advance the identification and screening of novel small molecules, with a particular focus on elucidating the structure and function of emerging lipids in metabolic disorders.
The successful candidate will be responsible for developing computational pipelines for analyzing mass spectrometry dataset, integrating spectral data, building spectral library and applying chemometric and machine learning methods to enable in-silico annotation.Key Responsibilities:
Develop and apply computational pipelines for 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
Your Profile
The ideal candidate should have a PhD or Master’s with at least 5 years research experience in computational biology, system biology, bioinformatics, chemometrics. Proficiency in at least one programming language (R, MATLAB, Python) is essential. Prior track record in mass spectrometry spectral analysis or mass spectrometry imaging analysis, in silico chemical annotation and machine learning approaches is required. Knowledge of metabolism is a plus. We are looking for an enthusiastic individual with the ability to work both independently and collaboratively within the team. Good communication skills and fluency in both spoken and written English is essential.What we offerWith the Inselspital, Bern University Hospital, the hospitals Riggisberg, Aarberg, Belp and the Bern Rehabilitation Center Heiligenschwendi, the Insel Gruppe forms the largest full-service medical care system in Switzerland, from cutting-edge medicine to primary care. More than 11,000 employees from 102 nations ensure that our patients are treated according to the latest developments, methods and possibilities in medicine.
Berne
Wed, 25 Jun 2025 07:10:13 GMT
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