2026-045-01 Computer Scientist

Vall d'Hebron Institute of Oncology (VHIO); Barcelona; Presencial; EUR 55.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible remuneration program

Medical insurance

Baby daycare voucher

24 holidays and 6 personal days

Language courses (Catalan, Spanish, or

Descripción de la vacante

VHIO seeks a highly motivated Computer Scientist to join the Radiomics Group and develop advanced computational methods for quantitative medical imaging and multi-modal data integration.

You will work with clinicians, imaging scientists, molecular biologists, bioinformaticians and AI researchers to translate imaging biomarkers into clinical decision support, with a focus on precision oncology and improving patient outcomes.

Formación

• Master of Science in Computer Science, AI, Biomedical Engineering or Medical Imaging.
• Excellent programming skills in Python.
• Experience in machine learning and deep learning.
• Strong analytical and problem-solving skills.
• Ability to work effectively in multidisciplinary research teams.
• Excellent written and spoken English.

Responsabilidades

• Develop novel computational approaches for quantitative medical image analysis.
• Advance imaging biomarker development and AI for precision oncology.
• Integrate multi-omics data with imaging and clinical data.
• Build reproducible research pipelines and software for translational cancer research.
• Contribute to predictive modelling for early detection, prognosis and treatment response.

Conocimientos

Python

Machine learning

Analytical thinking

Team collaboration

English proficiency

Educación

MSc in Computer Science/AI/Biomedical Eng/Medical Imaging

Herramientas

MRI analysis

Python tooling

Descripción del empleo

• treatment response prediction

The Vall d´Hebron Institute of Oncology (VHIO) Seeks a “Computer Scientist”

Reference

2026-45-01

Application deadline

31/08/2026

Number of vacancies

1

This project has received funding from the European Commission under the Horizon Europe program (Grant agreement No 101057091).

Position description

The Vall d´Hebron Institute of Oncology´s (VHIO) Radiomics Group, headed by Raquel Perez-Lopez (MD, PhD), is currently seeking an outstanding Computer Scientist to join our multidisciplinary team developing advanced computational methods for quantitative medical imaging and multi-modal data integration.

This is an exceptional opportunity to contribute to internationally leading research at one of Europe's premier comprehensive cancer centres, working alongside clinicians, imaging scientists, molecular biologists, bioinformaticians and AI researchers to develop technologies that directly impact patient care.

Our research focuses on transforming complex imaging and molecular data into clinically meaningful biomarkers that enable earlier cancer diagnosis, improve prognostic assessment, and predict treatment response, accelerating the implementation of precision oncology.

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 tumour 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

Requirements

• MSc in Computer Science, Artificial Intelligence, Biomedical Engineering, Medical Imaging or a closely related discipline.
• Excellent programming skills in Python.
• Experience in machine learning and deep learning.
• Strong analytical and problem-solving skills.
• Ability to work effectively in multidisciplinary research teams.
• Excellent written and spoken English.

Desirable experience

• Computational medical image analysis
• Radiomics and quantitative imaging biomarkers
• Multi-modal or multi-omics data integration
• Computer vision
• Medical AI
• Bioinformatics
• Statistical modelling
• Image segmentation and feature extraction
• Experience with MRI analysis (highly desirable)
• Experience with large-scale biomedical datasets
• Reproducible software development and scientific computing

Additional information

We offer

• The opportunity to work on cutting-edge AI technologies for precision oncology.
• Access to unique multimodal imaging and molecular datasets.
• 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.

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.