Data Scientist Healthcare

hace 1 mes

Barcelona, Barcelona, España Eurecat Technology Centre A tiempo completo
Descripción del Puesto

Eurecat Technology Centre busca un Data Scientist Healthcare para unirse a nuestro equipo de Digital Health. En este rol, serás responsable de investigar y desarrollar modelos matemáticos en salud, así como modelos de aprendizaje automático para abordar desafíos en el ámbito de la salud.

Responsabilidades
  • 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.
Requisitos
  • Titulación 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.
  • Experiencia en análisis de datos, limpieza, preparación y procesamiento de señal.
  • Conocimiento en herramientas como Python (con librerías como Pandas, NumPy, Matplotlib, SciPy, Scikit-Learn, TensorFlow, PyTorch, Keras, Seaborn, entre otros), R o Matlab.
Condiciones
  • Modelo de trabajo híbrido (3 días casa / 2 días oficina).
  • Horario flexible.
  • Jornada reducida los viernes y horario de verano.
Beneficios sociales
  • Paquete de retribución flexible.
  • Ticket restaurante, transporte y guardería.
  • Seguro de salud.
  • Formación y renting de vehículos.
  • Seguro para mascotas.
  • Club de compra cashback.
  • Acceso a la plataforma de formación de Eurecat Academy.
  • Acceso a sesiones temáticas formativas en los ámbitos de conocimiento de Eurecat.
  • Formación en idiomas (inglés, catalán y español).

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