Call for position: Specialist support technician: Software engineer for the development and cli[...]

European Commission; España; Presencial; EUR 30.000 - 45.000; Jornada completa

Descripción de la vacante

A leading research group in Spain is seeking a Biomedical Engineer for the development of clinician-friendly interfaces for AI algorithms in medical applications. The role involves designing web-based platforms for patient data visualization and requires knowledge in clinical applications and hospital environments.

Formación

• BSc in Biomedical Engineering required.
• Experience in front-end development for clinical applications essential.
• Fluent in English with teamwork skills.

Responsabilidades

• Design and implementation of web/cloud-based platform for visualization.
• Deploy platform into secure environments for multi-centric studies.
• Explore scaling the developed tool for other biomedical applications.

Conocimientos

Front-end development for clinical applications

Experience working in hospital environments

Fluent written and oral communication skills in English

Teamwork skills

Educación

BSc in Biomedical Engineering

Descripción del empleo

Universitat Pompeu Fabra - Department / School of Engineering

Organisation/Company Universitat Pompeu Fabra - Department / School of Engineering Department Engineering Research Field Engineering » Biomedical engineering Researcher Profile Recognised Researcher (R2) Positions Research Support Positions Country Spain Application Deadline 1 Aug 2025 - 23:59 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 18 Jul 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

Line of research: Development of clinician-friendly interfaces for the clinical translation of computational tools such as artificial intelligent algorithms and simulations in different medical use cases.

Several advanced computational tools based on artificial intelligence techniques, digital twins, and biophysical/phenomenological models, are being developed as part of several national and international projects in our research group. The translation of these tools asks for the development of clinician-friendly interfaces designed based on state-of-the-art visualization and visual analytics principles, using efficient tools for the creation of frontends, connected with different backend frameworks compatible with hospital environments. For instance, in cardiology applications related to atrial fibrillation patients, it is important for optimizing the clinical workflow to visualize multimodal data associated to each case, including cardiac signals and images (e.g., electrocardiograms, computed tomography scans, echocardiography), demographic information, interventional data (e.g., electroanatomical maps, implanted devices) and simulation results (e.g., from fluid dynamics or electrophysiological simulations).

Tasks to be performed:

• Design and implementation of web/cloud-based platform for the visualization of data corresponding to atrial fibrillation patients and other cardiomyopathies.
• Deployment of the developed platform into a secure environment for being used by several hospitals in multicentric studies.
• Exploration of scaling the developed tool for other biomedical applications.

The selection of the candidates will be made through evaluation of the curriculum and, where appropriate, with the carrying out a test and/or interview. Valuation will be as follows:

• Academic Training (0-20 points).
• BSc in Biomedical engineering
• Other professional training and experience, adequacy to the proposed profile (0-60 points):
• Experience in front-end development for clinical applications
• Experience working in hospital environments
• Other merits (0-20 points):
• Fluent written and oral communication skills in English
• Teamwork skills

The minimum score to pass the selection process is 85 points. The candidate with the highest score in the selection process will be offered the job.

Additional comments

• PREUR03123 - HEu-CL1-101136438-GEMINI - O. Camara. Towards GEMINI: A Generation of Multi-scale Digital Twins of Ischaemic and Haemorrhagic Stroke Patients funded by EUROPEAN UNION, Programa Horizon Europe (2021-2027)