PINKCC: Precision Imaging as a Key in cancer Care.
Postdoctoral Position in the computational Ovarian Cancer Imaging lab
📍 PINKCC Lab, Institut du Cancer de Montpellier, France
đź•’ Full-time | 3 years (starting autumn 2025)
đź’Ľ ERC-Funded Position (MR-O-Mics Project)
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Project Overview
The PINKCC lab (Precision Imaging as a New Key in Cancer Care), led by Prof. Stéphanie Nougaret, has launched
a transformative ERC-funded research project—MR-O-Mics—to decode high-grade serous ovarian cancer imaging
(HGSOC).
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About the Role
We are seeking a highly motivated postdoctoral researcher to lead the development of computational models
extracting and integrating multi-o-mics data with a specific focus on imaging. The candidate must demonstrate
strong methodological rigor and have an excellent understanding of project requirements to develop relevant and
robust solutions.
This position will include:
- Training models for clinical/pre clinical/histopath imaging data extraction and integration;
- Develop useful tools to pre-process clinical/pre clinical/histopath imaging data and validate prediction models;
- Help in writing grant proposals to acquire funding at both a national and European level;
- Assist students (at PhD, MSc. and BSc. levels) in designing and developing exciting and useful research projects.
đź”§ Required Skills & Qualifications
• PhD in Biomedical Engineering, Computer Science, Medical Imaging, or a related field.
• Strong programming skills in Python, Machine Learning and Deep Learning (e.g., Scikit-learn,
TensorFlow / PyTorch).
• Strong experience with high-dimensional Medical Imaging radiomics and/or pathomics (e.g.,
PyRadiomics, QuPath).
• Strong communication skills and a track record of peer-reviewed publications.
• Design and document relevant evaluation protocols to validate model robustness. Ensure complete
traceability of experiments and technical choices
Nice to have:
• Familiarity with high-resolution MRI or functional imaging (DWI, DCE).
• Experience in radiogenomics or integration of multi-omics datasets.
• Experience in explainable AI methods.
• Experience with HPC.
• Version control: Git, collaborative development practices.
• Background in gynecologic oncology or cancer imaging.
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What We Offer
• A 3-year fully funded position as part of an ERC Starting Grant.
• Access to advanced platforms: clinical and high-field MRI (3T/9.4T), spatial histology, transcriptomics,
proteomics, and imaging mass cytometry.
• Work in a vibrant, interdisciplinary team at the intersection of imaging, oncology, AI, and translational
research.
• Salary based on INSERM scales and experience.
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To Apply
Please send:
• A motivation letter
• CV (with publications)
• Names and contact information of 2 references
• Portfolio Projects if you have it
to: stephanie.nougaret@icm.unicancer.fr
Subject: Postdoctoral Application – MR-O-Mics Project
Applications will be reviewed on a rolling basis. Start date :autumn 2025.