Technician researcher Data Scientist – RadioVal

Bcn Aim; Barcelona; Presencial; EUR 35.000 - 55.000; Jornada completa

Descripción de la vacante

A leading university in Barcelona is offering a full-time Data Scientist position within an innovative AI in Medicine lab. The role involves developing AI tools for breast cancer treatment prediction as part of an EU-funded project. Candidates should possess a Master’s degree and relevant AI experience, with opportunities for international collaboration and flexible working hours.

Servicios

Flexible working hours

Travel opportunities for scientific events

Dynamic international research environment

Formación

• Master’s degree in a related field required.
• Proven experience in AI and machine learning applied to medical imaging.
• Strong problem-solving skills and ability to work independently.

Responsabilidades

• Development of AI algorithms for medical images.
• Creation of APIs and user documentation.
• Collaboration on European-funded projects.

Conocimientos

AI and machine learning

Medical imaging

Problem-solving

Communication

Team spirit

Educación

Master’s degree in Computer Science, Artificial Intelligence, Biomedical Engineering

Herramientas

Python

C++

Descripción del empleo

Department : OPIR

Research Field : Computer science Engineering

Other Researcher Profile : First Stage Researcher (R1)

Positions : Master Positions

Country : Spain

Application Deadline : 22 Apr 2025 - 23 : 59 (Europe / Madrid)

Type of Contract : Temporary

Job Status : Full-time

Offer Starting Date : 1 Oct 2025

Is the job funded through the EU Research Framework Programme? Horizon Europe

Is the Job related to staff position within a Research Infrastructure? No

Offer Description

We are offering an exciting position as Data Scientist at the University of Barcelona, within the Artificial Intelligence in Medicine lab ( ). The selected candidate will join the RadioVal Project , an international EU-funded initiative focused on validating AI models for predicting treatment response in breast cancer. This position involves developing and optimizing radiomics-based AI tools to enhance clinical decision-making, reduce overtreatment, and improve patient outcomes.

We offer :

• A dynamic position in beautiful Barcelona and its Mediterranean climate.
• Research experience within a prestigious university (1st position in Spain).
• Cutting-edge research in AI for healthcare in one of the most dynamic research groups in Europe (10 active projects including an ERC grant).
• An international research environment with a multi-cultural team representing all continents.
• Opportunities to collaborate with international and interdisciplinary collaborators as part of the European projects.
• Travelling opportunities to scientific events, project meetings and international stays.
• Flexible working hours, with possibility to telework.

The requirements for the position are :

• Master’s degree in Computer Science, Artificial Intelligence, Biomedical Engineering, or a related field.
• Proven experience in AI and machine learning applied to medical imaging.
• Experience in medical imaging and computer vision.
• Experience working with clinical or medical databases.
• Proficiency in Python and / or C++ for AI development and data analysis.
• Strong problem-solving skills and ability to work independently to meet deadlines.
• Excellent communication skills and ability to work in an interdisciplinary research environment.
• Enthusiasm for medical AI research and its real-world applications.
• Strong team spirit and active participation in the lab’s scientific activities.
• Experience collaborating with local and international project partners, including technical and clinical researchers.

Key responsibilities :

• Development of artificial intelligence algorithms applied to medical images and other health data.
• Development of application programming interfaces (APIs).
• Generation of documentation and user manuals for the developed tools.
• Creative application of previous experience in artificial intelligence for the development of prototypes aimed at providing real solutions for various research projects.

The research projects :

The successful candidate will work as part of our oncology AI research team , contributing to leading European-funded projects such as Radioval. This project aims to revolutionize radiomics-driven assessment of neoadjuvant chemotherapy (NAC) response in breast cancer through multi-centre, multi-continental clinical validation. The work will build upon existing repositories, tools, and results from five EU-funded AI4HI Network projects, incorporating FUTURE-AI Guidelines to ensure Fairness, Universality, Traceability, Usability, Robustness, and Explainability in AI-driven medical imaging. The role will also contribute to the development of transparent and standardized AI methodologies for clinical implementation.

The Group :

The successful candidate will join the Artificial Intelligence in Medicine Lab ( ), which is an integral part of the University of Barcelona’s Faculty of Mathematics and Computer Science. It is a young and dynamic research lab, highly active in international projects, and composed of >

20 enthusiastic academics, researchers, students and research managers, with expertise in data science, machine / deep learning, biomedical informatics, biomedical ethics, and health-related applications. The research team has an established track record in coordination and participation in national, European and international projects in biomedical data science and medical AI (e.g. EuCanImage, LongITools, HealthyCloud, RadioVal, DataTools4Heart, Youth-GEMs, HappyMums, AIMIX, AI4HF).

The Institution :

The University of Barcelona (UB), founded in 1450, is one of the oldest universities in Spain. It comprises a student body of 84,370 and 4,548 research staff members. With 73 undergraduate programs, 273 graduate programs and 48 doctorate programs, UB is the largest university in Barcelona and Catalonia. The UB is ranked the first Spanish university according to several rankings (QS World University Rankings 2018, ARWU / Shanghai Ranking 2018). It is particularly interested in fostering international relations and, for many years, has managed an average of 150 European projects per year. Since January 2010, Universitat de Barcelona is part of the prestigious League of European Universities Research (LERU).

Specific Requirements :

• Good team spirit and participation in the scientific life of the lab.
• Able to take initiative and problem-solve independently.
• Passion for applications of artificial intelligence to biomedicine and health care.

Research Field : Computer science, Engineering, Other

Years of Research Experience : 1 - 4

Additional Information

Eligibility criteria : The selection is made through the evaluation of the curriculum , with an overall score of zero (0) to ten (10) points. The minimum score is five (5) points. The evaluation criteria are the following :

• Suitability of the candidate to the main function to be carried out.
• Curricular experience.
• Professional knowledge and skills.

The tribunal, in its constitutive session, assesses the CVs of the candidates presented.

Selection process : A resolution of adjudication is issued to the person who, having passed the selection procedure, obtains the highest score and publishes the prioritised list of applicants who have passed the selection process, indicating the scores obtained, for subsequent recruitment, if necessary.

Additional comments : The candidate proposed for hiring must accept the job offer within 5 working days from the date of notification of the selection.

Priority will be given to people with disabilities (Law 89 / 2015 of June 2, reserve of quota 2% in favour of people with disabilities in companies of 50 or more people).

Be aware that the starting date sets in this offer is an estimate date. The official starting date will depend on the bureaucratic time that will take the preparation of the labour contract and presentation of the necessary documents to be hired by the selected candidate.

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