The Vall d´Hebron Institute of Oncology (VHIO) Seeks a “Postdoctoral Researcher”

Reference: 2026-46-01

Application deadline: 31/08/2026

Number of vacancies: 1

Position description:

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.

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.

About the Radiomics Group and VHIO:

The VHIO Radiomics Group develops innovative computational methodologies at the interface of artificial intelligence, computer vision and computational oncology.

We combine quantitative imaging with genomics, transcriptomics, pathology and clinical information to discover imaging biomarkers that capture tumor biology non-invasively and support personalized treatment decisions.

Our projects combine methodological AI research and close clinical translation, offering access to unique multimodal datasets and collaborations with leading international clinical and research networks. VHIO´s pioneering model and programs, coupled with its belief in combining strengths through cross-border collaborations, continue to drive advances in reversing cancer resistance, preventing metastatic spread, and more effectively treating even the most aggressive tumor types. VHIO´s translation toward precision oncology:

http://www.vhio.net

https://github.com/radiomicsgroup

The position:

We are looking for a highly motivated Computer Scientist with expertise in computational medical imaging who enjoys solving challenging interdisciplinary problems.

The successful candidate will develop novel computational approaches for:

• Quantitative medical image analysis

• Imaging biomarker development

• Artificial Intelligence for precision oncology

• Multi-omics integration combining imaging, genomics, pathology and clinical data

• Predictive modelling for:

  • early cancer detection

  • patient prognosis

  • treatment response prediction

• Development of reproducible research pipelines and software for translational cancer research

The position offers the opportunity to work on high-impact international collaborative projects addressing clinically relevant questions across multiple cancer types.

Requirements:

• 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:

The ideal candidate will demonstrate:

• A proactive, independent, and highly motivated approach to research.

• The 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.

In addition, candidates must have demonstrated experience in at least one of the following:

• MRI acquisition, processing and quantitative analysis

• Large Language Models (LLMs), foundation models, multimodal generative AI or clinical language models

Preference will be given to candidates with:

• 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

Additional information:

Joining VHIO means becoming part of an internationally recognized cancer research institute where computational innovation is tightly integrated with clinical practice.

We offer:

• 🏳️The 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).

• ⏰Flexible 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.

Why join us?

If you are passionate about applying artificial intelligence and computational imaging to solve clinically meaningful problems, this position offers the opportunity to contribute to research that has the potential to improve cancer diagnosis, guide treatment decisions, and ultimately improve outcomes for patients worldwide.

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.

Interested candidates should submit:

• Curriculum Vitae

• Brief cover letter describing research interests and motivation

• Contact details for two academic or professional referees

Review of applications will commence immediately.

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. 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.