Msca-Pf 2025: Clinical-Basic Research In Neurology Research Group At The Institute For Health R[...]

buscojobs España; Comunidad Valenciana; Presencial; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

Una institución de investigación líder en España busca un científico de datos o bioinformático para unirse a su grupo de investigación en neurología. El enfoque del puesto es desarrollar soluciones de IA para integrar modelos probabilísticos y datos clínicos, mejorando la diagnosis y seguimiento de enfermedades neurodegenerativas. Un entorno colaborativo y multidisciplinario potenciará el avance de la investigación en este campo crucial.

Formación

• Experiencia en modelado probabilístico y aprendizaje automático.
• Capacidad para trabajar con datos neurofisiológicos y clínicos.
• Formación en informática o un campo relacionado es preferible.

Responsabilidades

• Desarrollo de soluciones basadas en IA para mejorar la precisión diagnóstica.
• Implementación de modelos para el seguimiento del progreso de enfermedades.
• Colaborar en la creación de gemelos digitales del sistema nervioso central.

Conocimientos

Modelado probabilístico

Aprendizaje automático

Análisis de datos multimodales

Neuroimágenes

Educación

Perfil de científico de datos o bioinformático

Descripción del empleo

Organisation / Company: FINBA

Department: European projects management

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

Join the Clinical-basic research in Neurology Research Group at the Institute for Health Research of the Principality of Asturias, managed by the Foundation for Biosanitary Research and Innovation of Asturias (FINBA) for Marie Skłodowska-Curie Postdoctoral Fellowships (MSCA-PF) 2025.

Description of the institution

FINBA is a leading institution based in Asturias, Spain, dedicated to advancing biomedical research and health innovation. We bring together scientific excellence, clinical expertise, and a strong translational focus aimed at improving health outcomes. Our mission is to drive cutting-edge biosanitary research, accelerate the translation of scientific discoveries into clinical solutions, and foster innovation that enhances health and well-being at regional, national, and European levels.

It has been created as the management structure of ISPA, grouped around the Central University Hospital of Asturias (HUCA), and also as a tool for managing R&D&I for all healthcare centers under the Health Service of the Principality of Asturias (SESPA). Currently, it is composed of nearly 1,000 affiliated researchers, organized into key areas of growing importance for global health, including Biotechnology and Biomedical Analyses, Immunology, Microbiology, and Infection, Cancer, Metabolism, Cardiology, Respiratory, and Renal Research, Neurosciences and Sensory Organs, Primary Care, Microbiome Research, Aging Research, and Care Research. Located within the HUCA, the FINBA–ISPA complex provides state-of-the-art facilities for scientific work and fosters collaboration between clinicians, researchers, and industry professionals.

Introduction to the Research Group

The Clinical-Basic Research in Neurology group focuses its activity on the study of neurological diseases, integrating basic research with clinical practice. Its aim is to translate scientific advances into diagnostic and therapeutic improvements for patients. It focuses on areas such as neurodegenerative diseases, seeking to understand their mechanisms and develop new intervention strategies. The group promotes a collaborative and multidisciplinary environment to address the complex challenges of neurology (More information).

Project

The candidate will join the neurodegenerative diseases pipeline, with the goal of developing and implementing AI-based solutions to integrate probabilistic modeling, machine learning and multimodal data (neuroimaging, biomarkers and clinical data) of neurodegenerative diseases, with the ultimate goal of improving diagnostic accuracy and monitoring disease progression. It focuses on the creation of digital CNS twins, risk stratification using AI, and real-time clinical decision support, revolutionizing the diagnosis and treatment of CNS disorders.

Ideal candidate : Data-scientist or bioinformatician profile.

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