CHUV - Centre Hospitalier Universitaire Vaudois Lausanne
Lausanne
Biomedical Research Officer (Postdoctoral Researcher)
- 16 October 2026
- 100%
- Permanent position
- Lausanne
Job summary
The CHUV is seeking a biomedical researcher for Project TANDEM. This role offers a unique opportunity in a dynamic work environment with great benefits.
Tasks
- Lead and oversee the TANDEM project alongside key co-investigators.
- Develop and validate procedures for spatial profiling and multiplex imaging.
- Analyze spatial proteomics data and enhance computational pathology pipelines.
Skills
- PhD in biomedical sciences or data science with relevant experience.
- Strong background in spatial biology and complex data analysis.
- Proficiency in R and/or Python for data analysis and bioinformatics.
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About the job
Research
Research Officer at the Institute of Pathology
The Institute of Pathology at CHUV is seeking a biomedical research officer (postdoctoral researcher) at a workload of 80% to 100% within the framework of the TANDEM project. The position is offered on a fixed-term contract of one year, renewable, starting 1 December 2026.
Context
The Lausanne University Hospital (CHUV) is one of the five Swiss university hospitals. Thanks to its collaboration with the Faculty of Biology and Medicine of the University of Lausanne and EPFL, CHUV plays a leading role in medical care, medical research, and education.
The Institute of Pathology brings together diagnostic and research laboratories. The group of Prof. Laurence de Leval, specialised in lymphomas, is conducting with the Biomedical Data Science Center (Prof. Raphael Gottardo) a TANDEM project funded by the ISREC Foundation: "Digital Pathology Meets Spatial Proteomics: Transforming Precision Diagnosis of T-cell Lymphoma".
This project aims to improve the diagnosis of peripheral T-cell lymphomas by combining spatial proteomics and transcriptomics, single-cell sequencing, digital pathology, and artificial intelligence. It notably relies on cyclic immunofluorescence (COMET™, Lunaphore), H&E imaging, and Visium HD technology, in collaboration with teams from CHUV, UNIL, and LYSA (France).
Mission
- You ensure the scientific management and monitoring of the TANDEM project in collaboration with the two principal co-investigators
- You develop and validate standard operating procedures (SOPs) for multiplex imaging and spatial profiling, and coordinate the production of quality data
- You perform image processing and quantitative analysis of spatial proteomics data
- You contribute to the development of a computational pathology pipeline combining H&E imaging, spatial proteomics data, and machine learning
- You participate in the training and evaluation of generative AI models to predict multiplex markers from H&E images
- You develop reproducible multi-omics data analyses and contribute to the identification of biomarkers and biological mechanisms
- You ensure documentation, quality, and reproducibility of analyses and collaborate with clinical, scientific, and data science teams
- You participate in the dissemination of results through reports, presentations, and scientific publications.
Profile
- You hold a doctorate (PhD) in biomedical sciences or data sciences
- You have experience in spatial biology, pathology, or complex biological data analysis, ideally multi-omics or single-cell
- You master histological analyses, immunohistochemistry, and multiplex immunofluorescence and have experience in interdisciplinary project management
- You possess strong skills in applied statistics for life sciences (linear models, generalized models, multivariate and association analyses)
- You are proficient in R and/or Python for data analysis and bioinformatics tool development
- You show a strong interest in fundamental, translational, and clinical research as well as innovative data-driven approaches
- You demonstrate autonomy, initiative, creativity, and rigour and have excellent collaboration, organisation, and scientific communication skills
Depending on your profile, the salary class will be between levels 10 and 11 and the job description may be adapted.
We offer
Becoming a collaborator at the Lausanne University Hospital means benefiting from:
- First-class social benefits, 20 days paternity leave, and 4 months maternity leave (with the possibility of an additional month of breastfeeding leave)
- Regular salary progression adapted to responsibilities
- A 13th salary and 25 days of holiday per year
- A right to a minimum of three training days per year, with access to a varied offer within the CHUV Training Centre and partner training centres of the State of Vaud
- Facilitated access to one of the 500 furnished accommodations offered in the surrounding neighbourhoods for people relocating to Switzerland from abroad
- Social, cultural, and economic benefits offered to members of the H-Oxygène association
- Benefits offered within the mobility plan (discounts on public transport subscriptions, promotion of "Mobility" vehicles, and discounts on the purchase of electric bicycles)
- Hotel-quality staff restaurants in each hospital building with preferential rates.
Contact and application submission
Contact for information about the position: Prof. Laurence de Leval at 021 314 71 94, Prof. Raphaël Gottardo at 079 556 23 08 or Mr Roberto Colotti at 079 556 92 71.
As all our applications are processed electronically, we kindly ask you to apply exclusively online by clicking the APPLY button at the bottom of the announcement.
If you have difficulty applying, you can consult our procedure on how to apply online. If for technical reasons you cannot apply online, we invite you to contact our Recruitment Unit, which will assist you in your process, either by email at e.recrutement@chuv.ch or by phone at 021 314 85 70.
CHUV applies the highest quality standards in its recruitment processes. Furthermore, committed to promoting diversity among our collaborators, we pay attention to different life paths and do everything possible to ensure equal treatment and avoid any discrimination. We look forward to receiving your application.
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