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 studies how metabolism functions and is regulated. The group focuses on systems where metabolism or metabolites influence phenotypic differentiation and biomedical processes, particularly in complex or technically challenging settings. To address these questions, the lab develops and applies new methods for metabolomics, lipidomics, and ¹³C metabolic flux analysis, as well as for data processing, integration, and interpretation.

Current research directions include applying DIA-based strategies in 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 collaborates with mass spectrometry vendors and technology partners to evaluate emerging instrumentation and software, translating them into robust, scalable workflows.

Alongside method development, the Zamboni Lab engages in numerous collaborations with academic, clinical, and pre-clinical groups, providing measurements as well as 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, including activities related to personalized health.

The lab is seeking a postdoctoral fellow who will integrate with the existing team and support both the development of new concepts and the delivery of high-quality measurements to partners and collaborators. The exact focus will be tailored to the candidate's strengths and 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, 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.
• Evaluate and test emerging technologies (hardware and software) in close interaction with collaborators and vendors, translating promising ideas into reliable workflows.
• 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).
• Strong expertise in annotation/identification techniques, including library-based and in-silico strategies, fingerprinting, molecular networking, and familiarity with ML/generative approaches.
• 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

We offer a 2-year fixed-term position, with the possibility of extension based on performance and funding. You will engage in a multifaceted and intellectually stimulating role at a world-class university with a highly competitive salary and excellent working conditions.

Enjoy access to state-of-the-art LC-MS instrumentation and analytical infrastructure, along with the opportunity to develop and deploy new workflows in real, high-impact projects. Benefit from a highly collaborative and international research environment, embedded in broad academic, clinical, and pre-clinical collaborations, and receive support for professional development and dissemination (e.g., conference participation and networking).

We Value Diversity and Sustainability

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity, and nurture a working and learning environment where the rights and dignity of all our staff and students are respected. Sustainability is a core value for us; we are consistently working towards a climate-neutral future.

Curious? So Are We.

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

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, email: nzamboni@ethz.ch (no applications).

About ETH Zürich

ETH Zurich is one of the world's leading universities specializing in science and technology. We are renowned for our excellent education, cutting-edge fundamental research, and the direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.