? (Inicio Inmediato) Data Scientist Healthcare

hace 1 mes


Barcelona, España Eurecat Technology Centre A tiempo completo

.Eurecat es el principal centro tecnológico de Cataluña y la segunda organización de investigacin privada más grande del sur de Europa. Aglutina la experiencia de más de 700 profesionales y presta servicio a cerca de 2.000 empresas. I+D aplicado, servicios tecnológicos, formación de alta especialización, consultoría tecnológica o valorización y explotación de la propiedad industrial son algunos de los servicios que Eurecat ofrece tanto para grandes como para pequeñas y medianas empresas de todos los sectores. El centro tecnológico participa en más de 200 grandes proyectos consorciados de I+D+i nacionales e internacionales de alto valor estratégico y cuenta con 181 patentes y 10 spin-off. El valor añadido que aporta Eurecat acelera la innovación, disminuye el gasto en infraestructuras científicas y tecnológicas, reduce los riesgos y proporciona conocimiento especializado a medida de cada empresa.Descripción de la ofertaEn Eurecat - Centro Tecnológico de Catalunya, para nuestro equipo de Digital Health.Investigación y desarrollo de modelos matemáticos en salud.Investigación y desarrollo de modelos de aprendizaje automático. Por ejemplo, diseño de modelos de regresión, clasificación, reducción de dimensionalidad, etc. para abordar desafíos en el ámbito de salud.Colaborar estrechamente con expertos de dominio para preparar y analizar datos, proporcionando conocimiento valioso en su procesamiento y mejorando la eficiencia de los modelos de IA.Trabajar en equipos multidisciplinares para definir proyectos y desarrollar soluciones que integren modelado matemático en salud y aprendizaje automático.Evaluar y analizar exhaustivamente los resultados de los proyectos, presentándolos tanto a equipos internos como a clientes.Mantenerse al día con los avances y tendencias más recientes en inteligencia artificial aplicada, con un enfoque especial en el ámbito de la salud.Generar documentación esencial relacionada con las tareas y contribuir a la redacción de propuestas I+D competitivas.Participar activamente en congresos, jornadas y otras actividades relacionadas con proyectos en el área de salud, tanto a nivel regional como europeo.Contribuir a crear artículos y presentaciones para compartir los resultados de la investigación con la comunidad académica y la industria, centrándose en el modelado matemático en salud y el aprendizaje automático.RequisitosTitulación universitaria en Matemáticas, Física, Bioinformática, Ingeniería Telecomunicaciones, Ingeniería Informática o similar.Valorable formación en Deep Learning y/o Reinforcement learning.Valorable experiencia académica o profesional en proyectos de I+D en ámbitos como salud, medioambiental y cambio climático, farma o biología.Experiencia en técnicas y metodologías de inteligencia artificial aplicada, como sistemas supervisados, no supervisados, detección de anomalías, sistemas de aprendizaje por refuerzo, visión por ordenador, etc.Conocimiento en metodologías de evaluación cruzada



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