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 the complexities of metabolism and its regulation. The group focuses on systems where metabolism or metabolites influence phenotypic differentiation and biomedical processes, particularly in complex and technically challenging environments. To tackle these challenges, the lab is dedicated to developing and applying innovative methods in metabolomics, lipidomics, and ¹³C metabolic flux analysis, as well as for data processing, integration, and interpretation. Current research avenues include employing DIA-based strategies in large-scale studies, combining electron- and photon-activation methods for structural analysis, creating metabolomics knowledge graphs, and inferring metabolic fluxes from MS data. The lab collaborates with mass spectrometry vendors and technology partners to evaluate emerging instrumentation and software, translating these into efficient and 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 the interpretation and integration of metabolomics data. As a key supporter of the Swiss Multi-Omics Center (SMOC), the lab offers state-of-the-art metabolomics and lipidomics capabilities to large consortia, contributing to personalized health initiatives.
The lab is looking for a postdoctoral fellow who will integrate into the existing team and support both new concept development and the delivery of high-quality measurements to partners and collaborators. The precise focus of the position 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 robust acquisition strategies.
- Design, execute, and document high-quality measurements for both internal projects and external collaborations, ensuring appropriate quality control (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 utilizing modern techniques such as spectral/structure fingerprinting, molecular networking, in-silico annotation, and machine-learning approaches for spectra or structure proposals.
- Evaluate and test emerging technologies (hardware and software) in close collaboration with partners and vendors, effectively 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 and pre-clinical partners, and consortium stakeholders (e.g., related to SMOC activities), aligning deliverables and timelines.
- Support training and knowledge transfer (tutorials, onboarding, best-practice documentation).
- Represent the lab at conferences and scientific meetings through presentations, posters, and networking.
- Contribute to scientific manuscripts and publications.
Profile
- A genuine passion for metabolomics and technology development with an impact mindset, focused 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 quality control concepts and reproducible practices.
- Deep understanding of untargeted processing pipelines (feature extraction, alignment, adduct/isotope handling, QC metrics, drift/batch correction, reporting).
- Strong expertise in annotation and identification techniques, including library-based and in-silico strategies, fingerprinting, and familiarity with machine learning 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 and collaborative personality; excellent communication skills in interdisciplinary environments.
Desirable Qualifications
- Interest or experience in advanced activation and fragmentation concepts for structural elucidation (e.g., electron/photon-based methods).
- Strong computational skills (R/Python), workflow automation, and maintenance of reproducible pipelines.
Workplace
The position is located at ETH Zurich, an institution that embraces innovation and excellence in science and technology education and research. Our working environment fosters collaboration across diverse disciplines.
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, accompanied by a highly competitive salary and excellent working conditions.
- Access to state-of-the-art LC-MS instrumentation and analytical facilities, providing the opportunity to develop and implement new workflows in impactful projects.
- A highly collaborative and international research environment, integrated with broad academic, clinical, and pre-clinical collaborations.
- Support for professional development and dissemination opportunities (e.g., conference participation and networking).
Our Commitment to Diversity and Sustainability
ETH Zurich is dedicated to fostering an inclusive culture. We promote equal opportunities and value diversity, nurturing a working and learning environment where the rights and dignity of all staff and students are respected. For more information on our commitment to equality and diversity, please visit our Equal Opportunities and Diversity website. Sustainability is also a core value for us; we consistently strive towards a climate-neutral future.
Curious? So are we.
To apply, please use 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. Inquiries about the position can be directed to Dr. Nicola Zamboni at nzamboni@ethz.ch (applications are not accepted via email).
About ETH Zurich
ETH Zurich stands as one of the world's leading universities specializing in science and technology. Renowned for its exceptional education, cutting-edge research, and the direct application of new knowledge to societal challenges, ETH Zurich is home to over 30,000 individuals from more than 120 countries. We cultivate an environment that encourages independent thought and inspires excellence, forging connections worldwide to develop solutions for today’s most pressing global challenges.