Postdoctoral Researcher – Radiomics Group

We are seeking an outstanding Postdoctoral Researcher to join the VHIO Radiomics Group and lead innovative research at the intersection of artificial intelligence, computational medical imaging, and multi-omics integration for precision oncology.

Presente su candidatura después de leer los siguientes requisitos de habilidades y cualificaciones para este puesto.

The successful candidate will play a leading role in developing next-generation computational methods for quantitative imaging biomarkers and multimodal AI models that integrate medical imaging, molecular profiling, pathology and clinical data. These approaches will support early cancer detection, patient stratification, prognosis, and prediction of treatment response.

Beyond conducting high-impact research, the successful candidate is expected to contribute to the scientific leadership of the group by mentoring PhD students and junior researchers, fostering collaborations across disciplines, and contributing to competitive research proposals and high-impact publications.

Key Responsibilities

- Develop novel computational approaches for quantitative medical image analysis
- Develop imaging biomarker tools
- Apply artificial intelligence for precision oncology
- Integrate multi-omics data combining imaging, genomics, pathology and clinical data
- Predictive modelling for early cancer detection, patient prognosis and treatment response prediction
- Develop reproducible research pipelines and software for translational cancer research

Qualifications
- PhD in Computer Science, Artificial Intelligence, Biomedical Engineering, Medical Imaging, Computational Biology, or a closely related discipline.
- Proven research experience in Artificial Intelligence, with a strong publication record in machine learning and/or deep learning for biomedical applications.
- Demonstrated expertise in computational medical image analysis.
- Mandatory experience in MRI analysis and/or the development or application of Large Language Models (LLMs) for biomedical or clinical research.
- Excellent programming skills in Python.
- Strong background in statistical modelling, machine learning,



and scientific software development.
- Excellent written and spoken English.

Essential Skills and Experience
- Proactive, independent, and highly motivated research approach.
- Ability to design, lead, and deliver innovative computational research projects.
- Strong problem-solving and analytical skills.
- Excellent communication and scientific writing abilities.
- Experience working effectively in multidisciplinary and international research environments.
- Previous mentoring or supervision experience of MSc or PhD students (mandatory).
- Ability to balance methodological innovation with clinically driven translational research.

Additional Experience Requirements
- Experience in MRI acquisition, processing and quantitative analysis.
- Experience in Large Language Models (LLMs), foundation models, multimodal generative AI or clinical language models.

Preferred Qualifications
- Experience publishing in leading journals or conferences in AI, medical imaging, computational oncology or medicine.
- Experience obtaining competitive funding or contributing to grant applications.
- Experience collaborating with clinicians and translational researchers.
- Familiarity with multimodal foundation models and emerging AI methodologies for precision medicine.

Benefits
- Opportunity to work on cutting-edge AI technologies for precision oncology.
- Access to unique multimodal imaging and molecular datasets.
- Access to unique MRI scanners for prospective clinical trials.
- Close collaboration with clinicians and leading biomedical researchers.
- An outstanding multidisciplinary research environment.
- Opportunities to publish in leading international journals and present at major conferences.




- The possibility of developing your professional career in a competitive environment.
- To be part of a center that is constantly developing, pursuing excellence in research and collaborating with leading teams.
- We offer and promote a diverse and inclusive environment, and welcome all people equally, regardless of age, disability, gender, nationality, race, religion or sexual orientation.
- We care about our environment and understand the importance of sustainability. We have the GreenVhio program, which you can be a part of.

Conditions
- Permanent contract.
- Full-time position, 37.5 hours per week.
- Salary according to qualifications and experience following VHIO pay scales.
- Flexible remuneration program (includes restaurant vouchers/cards, transport, medical insurance, and baby daycare voucher).
- Adaptable working hours and measures to balance work, family, and personal life, and promote gender equality, as established in the VHIO collective agreement.
- 24 days of holidays and 6 personal days.
- Fully subsidized Catalan, Spanish, or English courses.
- Take advantage of doing sports at great prices with WellHub.
- You’ll have access to weekly physiotherapy sessions at the office, offered at a reduced price for the team.

Selection Process

The position is open now, and applications will be reviewed on a rolling basis. Final candidate selection will take place in September 2026.

Application Materials

- Curriculum Vitae
- Brief cover letter describing research interests and motivation
- Contact details for two academic or professional referees

Equal Opportunity Statement

Vall d’Hebron Institute Oncology (VHIO) endorses the Requirements and Principles of the European Charter for Researchers, the Code of Conduct for the Recruitment of Researchers promoted by the European Commission and follows Equal Opportunities policies. On 10th April 2018 VHIO was awarded the HR Excellence in Research logo. xhfqzwm Our Institute was consequently granted permission to use the HR Excellence in Research Award logo as demonstration of its stimulating and favourable work environment in line with the Charter & Code.

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📌 2026-046-01 Postdoctoral Researcher (Barcelona)
🏢 Vall d'Hebron Institute of Oncology (VHIO)
📍 Barcelona