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. Nicola Zamboni's team explores the functions and regulation of metabolism. Their research focuses on systems where metabolism or metabolites influence phenotypic differentiation and biomedical processes, particularly in complex or technically challenging environments. The lab is committed to developing and applying innovative methods for metabolomics, lipidomics, and ¹³C metabolic flux analysis, as well as data processing, integration, and interpretation. Current research initiatives include applying DIA-based strategies for large-scale studies, combining electron and photon activation methods for the structural analysis of metabolites and lipids, creating metabolomics knowledge graphs, and inferring fluxes from MS data. The group also collaborates with mass spectrometry vendors and technology partners to evaluate and implement emerging instrumentation and software into robust, scalable workflows.
In addition to method development, the Zamboni Lab actively engages in numerous collaborations with academic, clinical, and pre-clinical groups, providing both measurements and expertise in metabolomics data interpretation and integration. The lab is a cornerstone of the Swiss Multi-Omics Center (SMOC) and contributes advanced metabolomics and lipidomics capabilities to large consortia, particularly in the realm of personalized health.
The lab is seeking a postdoctoral fellow to integrate with the existing team and assist in both the development of new concepts and the delivery of high-quality measurements to partners and collaborators. The focus will be tailored to the candidate's strengths and the evolving opportunities in 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 clear 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 techniques such as spectral/structure fingerprinting, molecular networking, in-silico annotation, and emerging machine-learning methods for spectra or structure proposals.
- Evaluate and test emerging technologies (hardware and software) in collaboration with partners and vendors, translating promising ideas into reliable pipelines.
- Contribute to instrument performance monitoring and maintenance, including routine upkeep and first-line troubleshooting in coordination with the team.
- 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 (tutorials, onboarding, 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 an impact mindset (turning ideas into usable 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 (feature extraction, alignment, adduct/isotope handling, QC metrics, drift/batch correction, reporting).
- Strong expertise in annotation/identification techniques, including library-based and in-silico strategies, fingerprinting, molecular networking, and familiarity with ML/generative approaches for spectra/structure or annotation confidence.
- Hands-on experience with automation for sample preparation, including liquid-handling robotics (method setup, optimization, validation, and troubleshooting).
- Excellent technical skills in MS operation, including routine maintenance and performance troubleshooting.
- Proactive, collaborative personality; excellent communication skills in interdisciplinary environments.
Desirable Qualifications
- Interest/experience in advanced activation/fragmentation concepts for structural elucidation (e.g., electron/photon-based methods).
- Strong computational skills (R/Python), workflow automation, and pipeline maintenance in a reproducible framework.
Workplace
ETH Zurich is one of the world’s leading universities specializing in science and technology. Known for its exceptional education and cutting-edge research, it offers a multifaceted and intellectually stimulating environment. Here, over 30,000 individuals from more than 120 countries collaborate to address today’s global challenges.
We Offer
- A 2-year fixed-term position, with the possibility of extension depending on performance and funding.
- Access to state-of-the-art LC-MS instrumentation and analytical infrastructure, with opportunities to develop and deploy new workflows in impactful projects.
- A highly collaborative international research environment, supported by extensive academic, clinical, and pre-clinical partnerships.
- Support for professional development and dissemination (e.g., conference participation and networking).
We Value Diversity and Sustainability
ETH Zurich is dedicated to fostering an inclusive culture that promotes equality of opportunity and values diversity. We nurture a working and learning environment that respects the rights and dignity of all staff and students. Sustainability is one of our core values as we work towards a climate-neutral future.
Curious? So Are We.
Please apply online using the form below. Only applications matching the job profile will be considered. We look forward to receiving your application, which should include:
- CV with a complete list of publications
- A motivation letter stating your vision and detailing any relevant experience
- Names and contact details of two referees
Further information about the Institute of Molecular Systems Biology can be found on our website. Questions regarding the position should be directed to Dr. Nicola Zamboni at email nzamboni@ethz.ch (no applications).
About ETH Zurich
ETH Zurich is a prominent institution specializing in science and technology, renowned for excellent education and advanced research initiatives. Our community encourages independent thinking and collaboration, working together to devise solutions for contemporary global challenges.