Postdoctoral Researcher / Postdoctoral Researcheress

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 investigates the mechanisms and regulation of metabolism. The group focuses on systems where metabolism or metabolites influence phenotypic differentiation and biomedical processes, particularly in complex or technically challenging environments. To tackle these questions, the lab develops and applies innovative methods for metabolomics, lipidomics, and ¹³C metabolic flux analysis, along with data processing, integration, and interpretation. Current research directions include employing DIA-based strategies in large-scale studies, combining electron- and photon-activation techniques for the structural analysis of metabolites and lipids, developing metabolomics knowledge graphs, and inferring fluxes from mass spectrometry data. The group collaborates with mass spectrometry vendors and technology partners to evaluate emerging instrumentation and software, translating them into robust and scalable workflows.

Beyond method development, the Zamboni Lab is integrated into numerous collaborations with academic, clinical, and pre-clinical groups, providing measurements and expertise in metabolomics data interpretation and integration. The lab plays a key role in the Swiss Multi-Omics Center (SMOC) and contributes leading-edge metabolomics and lipidomics capabilities to large research consortia, including initiatives related to personalized health.

The lab is seeking a postdoctoral fellow to join the team, supporting both the development of new concepts and the delivery of high-quality measurements to partners and collaborators. The specific focus of the role will be tailored to match 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, ensuring 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 approaches such as spectral/structure fingerprinting, molecular networking, in-silico annotation, and emerging machine-learning and generative methods for spectra or structure proposals.
• Evaluate and test emerging technologies (hardware and software) in conjunction with collaborators 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 through tutorials, onboarding, and best-practice documentation.
• Represent the lab at conferences and scientific meetings by delivering talks, presenting posters, and networking.
• Contribute to scientific manuscripts and publications.

Profile

• A genuine passion for metabolomics and technology development, paired with an impact-oriented mindset (transforming 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, routine maintenance, and performance troubleshooting.
• Proactive, collaborative personality with 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 a leading institution in science and technology research, providing a stimulating and collaborative environment for rigorous scientific inquiry.

What We Offer

• A 2-year fixed-term position, with the possibility of extension based on performance and funding.
• A multifaceted and intellectually stimulating role at a world-class university, offering 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 implement new workflows in impactful research projects.
• A highly collaborative and international research environment, integrated with extensive academic, clinical, and pre-clinical collaborations.
• Support for professional development and dissemination, including participation in conferences and networking opportunities.

We Value Diversity and Sustainability

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity, and foster a working and learning environment that respects the rights and dignity of all staff and students. Visit our Equal Opportunities and Diversity website to learn how we ensure a fair and open environment that enables everyone to grow and flourish. Sustainability is a core value for us, and we strive towards a climate-neutral future.

Curious? So Are We.

We look forward to receiving your online application, including the following documents:

• CV with a complete list of publications
• A motivation letter articulating your vision and relevant past experiences
• Names and contact details of two referees

For more information about the Institute of Molecular Systems Biology, please visit our website. Any questions related to the position should be directed to Dr. Nicola Zamboni at nzamboni@ethz.ch.

Apply online using the form below. Only applications matching the job profile will be considered.

About ETH Zürich

ETH Zurich is recognized as one of the world's leading universities specializing in science and technology. We are known for our excellent education, cutting-edge fundamental research, and the effective transfer of new knowledge into society. With over 30,000 individuals from more than 120 countries, our university fosters independent thinking in an environment that inspires excellence. Located in the heart of Europe, we forge connections globally to develop solutions for today's and tomorrow's challenges.