Postdoctoral Researcher - Metabolomics
100%, Zurich, fixed-term
The Institute of Molecular Systems Biology (IMSB) at ETH Zurich invites applications for a Postdoctoral Researcher in Metabolomics & Technology Development in the laboratory of Prof. Dr. Nicola Zamboni.
Project Background
Prof. Dr. Nicole Zamboni's team is dedicated to understanding how metabolism functions and is regulated. The group investigates systems where metabolism or metabolites influence phenotypic differentiation and biomedical processes, particularly in complex or technically challenging settings. To tackle these questions, the lab develops and implements innovative methods for metabolomics, lipidomics, and 13C metabolic flux analysis, along with data processing, integration, and interpretation.
Current research directions include applying DIA-based strategies in large-scale studies, combining electron- and photon-activation methods for structural analysis of metabolites and lipids, creating metabolomics knowledge graphs, and inferring fluxes from MS data. The group collaborates with mass spectrometry vendors and technology partners to evaluate emerging instrumentation and software, translating them into robust, scalable workflows.
In addition to method development, the Zamboni Lab is deeply involved in numerous collaborations with academic, clinical, and pre-clinical groups, providing not only measurements but also expertise in the interpretation and integration of metabolomics data. The lab is a cornerstone of the Swiss Multi-Omics Center (SMOC) and contributes state-of-the-art metabolomics and lipidomics capabilities to large consortia focused on personalized health.
We are seeking a committed postdoctoral fellow to integrate with the existing team, supporting the development of new concepts and delivering high-quality measurements to partners and collaborators. The specific focus will be tailored to the candidate's strengths and the evolving opportunities within the field.
Job Description
- Contribute to LC-MS/MS method development and benchmarking, focusing on untargeted workflows (DIA/DDA) and scalable, robust acquisition strategies.
- Design, execute, and document high-quality measurements for internal projects and external collaborations, including appropriate QC, troubleshooting, and reporting of results.
- Operate and optimize automated sample preparation workflows, including liquid-handling robotics (method setup, optimization, validation, and QC).
- Drive untargeted data processing workflows (feature extraction, alignment, QC metrics, drift/batch correction) and reporting.
- Advance annotation strategies using modern approaches such as spectral/structure fingerprinting, molecular networking, and emerging machine-learning techniques.
- Evaluate and test emerging technologies (hardware and software) in collaboration with vendors, translating promising ideas into reliable pipelines.
- Contribute to instrument performance monitoring and maintenance, including routine upkeep and first-line troubleshooting.
- Collaborate effectively with team members, clinical/pre-clinical partners, and consortium stakeholders (e.g., SMOC-related activities), aligning deliverables and timelines.
- Support training and knowledge transfer through tutorials, onboarding, and best-practice documentation.
- Represent the lab at conferences and scientific meetings through talks, posters, and networking.
- Contribute to scientific manuscripts and publications.
Profile
- A genuine passion for metabolomics and technology development with a focus on transforming ideas into practical capabilities.
- PhD in analytical chemistry, bioengineering, biochemistry, computational biology, systems biology, or a related field.
- Strong hands-on expertise in high-resolution LC-MS/MS, with proven experience in metabolomics, lipidomics, or exposomics.
- Demonstrated experience with untargeted acquisition and study workflows (DDA/DIA), including QC concepts and reproducible practices.
- Deep knowledge of untargeted processing pipelines including feature extraction, alignment, adduct/isotope handling, and reporting.
- Strong expertise in annotation/identification techniques, including library-based and in-silico strategies, fingerprinting, molecular networking, and familiarity with machine learning approaches.
- Hands-on experience with automation for sample preparation, including liquid-handling robotics.
- Excellent technical skills in MS operation, routine maintenance, and troubleshooting.
- Proactive, collaborative personality with excellent communication skills in interdisciplinary environments.
Desirable Qualifications
- Interest and experience in advanced activation/fragmentation concepts for structural elucidation (e.g., electron/photon-based methods).
- Strong computational skills (R/Python) with experience in workflow automation and pipeline maintenance in a reproducible framework.
Workplace
ETH Zurich offers a dynamic and international research environment, embedded in broad academic, clinical, and pre-clinical collaborations.
We Offer
- A 2-year fixed-term position, with the possibility of extension depending on performance and funding.
- A multifaceted and intellectually stimulating role at a renowned university, with a highly competitive salary and excellent working conditions.
- Access to state-of-the-art LC-MS instrumentation and analytical infrastructure, with opportunities to develop and deploy workflows in significant projects.
- Support for professional development and dissemination, including conference participation and networking.
We Value Diversity and Sustainability
In line with our values, ETH Zurich promotes an inclusive culture. We encourage equality of opportunity, value diversity, and nurture an environment where the rights and dignity of all staff and students are respected. Sustainability is a core value, and we strive toward a climate-neutral future.
Curious? So are we.
We look forward to your online application using the form below. Only applications matching the job profile will be considered.