Postdoctoral Researcher / Postdoctoral Researcheress

Postdoctoral Researcher - Metabolomics

Full-time, Zurich, fixed-term

The Institute of Molecular Systems Biology (IMSB) at ETH Zurich is seeking a talented **Postdoctoral Researcher in Metabolomics & Technology Development** in the laboratory of **Prof. Dr. Nicola Zamboni**.

Project Background

Prof. Dr. Nicola Zamboni's team is at the forefront of studying metabolic functions and regulation. The lab 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 innovates new methods for metabolomics, lipidomics, and ¹³C metabolic flux analysis, along with data processing, integration, and interpretation. Current research directions include:

• Implementing DIA-based strategies in large-scale studies.
• Combining electron and photon activation methods for structural analysis of metabolites and lipids.
• Creating metabolomics knowledge graphs.
• Inferring fluxes from mass spectrometry (MS) data.

The group collaborates with mass spectrometry vendors and technology partners to assess emerging instrumentation and software, translating them into robust, scalable workflows.

Besides method development, the Zamboni Lab is deeply integrated into numerous collaborations with academic, clinical, and pre-clinical groups, providing measurements and expertise in the interpretation and integration of metabolomics data. The lab plays a vital role in the Swiss Multi-Omics Center (SMOC) and offers state-of-the-art capabilities in metabolomics and lipidomics to large consortia, including projects related to personalized health.

We are looking for a postdoctoral fellow who will integrate into our existing team, supporting both the development of innovative concepts and the delivery of high-quality measurements to our partners and collaborators. The specific focus of the role will be tailored to suit the candidate's strengths and the evolving opportunities in the field.

Job Description

• Contribute to LC-MS/MS method development and benchmarking, emphasizing untargeted workflows (DIA/DDA) and reliable acquisition strategies.
• Design, execute, and document high-quality measurements for internal projects and external collaborations, ensuring quality control and clear result reporting.
• Operate and optimize automated sample preparation workflows, including liquid-handling robotics (method setup, optimization, validation, and QC).
• Drive untargeted data processing workflows, including feature extraction, alignment, QC metrics, and correction of drift/batch effects.
• Advance annotation strategies using innovative approaches such as spectral/structure fingerprinting, molecular networking, and in-silico annotation.
• Evaluate and test emerging technologies (hardware and software) in close collaboration with partners and vendors, transforming promising ideas into reliable workflows.
• Participate in instrument performance monitoring and maintenance, including routine upkeep and troubleshooting.
• Work effectively with team members, clinical/pre-clinical partners, and consortium stakeholders, ensuring alignment of deliverables and timelines.
• Support the training and knowledge transfer process through tutorials, onboarding, and documentation of best practices.
• Represent the lab at conferences and scientific meetings through presentations and networking.
• Contribute to scientific manuscripts and publications.

Profile

• A genuine passion for metabolomics and technology development, with a proactive mindset for turning ideas into practical solutions.
• PhD in analytical chemistry, bioengineering, biochemistry, computational biology, systems biology, or a related discipline.
• Strong hands-on experience in high-resolution LC-MS/MS, with a proven background in metabolomics, lipidomics, or exposomics.
• Demonstrated experience in untargeted acquisition and study workflows (DDA/DIA), including quality control and reproducibility.
• Deep knowledge of untargeted processing pipelines, including feature extraction, alignment, and reporting.
• Strong expertise in annotation and identification techniques, including library-based and in-silico strategies, fingerprinting, and familiarity with machine learning approaches.
• Hands-on experience with sample preparation automation, including liquid-handling robotics.
• Excellent technical skills in MS operation, routine maintenance, and troubleshooting.
• A collaborative and proactive personality with excellent communication skills in interdisciplinary environments.

Desirable Qualifications

• Interest or experience in advanced activation and fragmentation concepts for structural elucidation.
• Strong computational skills in R/Python, workflow automation, and pipeline maintenance.

Workplace

In our lab, you will find a stimulating and collaborative research environment deeply embedded in interdisciplinary academic, clinical, and pre-clinical partnerships.

We Offer

• A 2-year fixed-term position, with the possibility of extension based on performance and funding.
• A multifaceted and intellectually engaging role at a prestigious university, accompanied by a highly competitive salary and excellent working conditions.
• Access to cutting-edge LC-MS instrumentation and analytical infrastructure, with opportunities to innovate and deploy new workflows on impactful projects.
• A supportive and international research community that fosters collaboration.
• Professional development and networking support, including conference participation.

We Value Diversity and Sustainability

ETH Zurich champions an inclusive culture that promotes equality of opportunity. We value diversity and ensure a respectful environment for all staff and students. Visit our Equal Opportunities and Diversity website to learn about our commitment to fairness and sustainable practices.

Curious? So Are We.

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Only applications matching the job profile will be considered.

About ETH Zurich

ETH Zurich is a leading university in science and technology, recognized for exceptional education and pioneering research. The university fosters independent thinking and innovation among its 30,000 members from over 120 countries. Situated in the heart of Europe and engaging globally, we strive to develop solutions for today's and tomorrow's global challenges.