Research Scientist in Neuroimmunology

hace 1 mes


Barcelona, Barcelona, España Vhir A tiempo completo
Job Title: Research Technician in Multiple Sclerosis

Vall d'Hebron Research Institute (VHIR) is seeking a highly motivated and experienced Research Technician to join our Clinical Neuroimmunology and Neuroradiology Research groups. The successful candidate will have a strong background in image analysis and deep learning methods, with a passion for contributing to cutting-edge research in multiple sclerosis.

Responsibilities:
  • Imaging data manipulation and pre-processing
  • Image analysis and building of deep learning models
  • Organizing follow-up meetings with supervisors and writing of conference abstracts and scientific papers
  • On-site work with a multidisciplinary panel of supervisors and a desk with a computer to carry out all expected work
Requirements:
  • Experience in image analysis and deep learning methods
  • Proficiency in English (spoken and written) and Microsoft Office (Excel, Word, etc.)
  • Strong sense of responsibility, initiative, self-motivation, and teamwork abilities
  • Desired: Experience in other artificial intelligence methods apart from deep learning and knowledge of Spanish (B1 level or above)
What We Offer:
  • Incorporation to Vall d'Hebron Research Institute (VHIR), a public sector institution that promotes and develops biomedical research, innovation, and teaching
  • A scientific environment of excellence, highly dynamic, where high-end biomedical projects are continuously developed
  • Continuous learning and a wide range of responsibilities within a stimulating work environment
  • Individual training opportunities
  • Flexible working hours
  • 23 days of holidays + 9 personal days
  • Flexible Remuneration Program (including dining checks, health insurance, transportation, and more)

VHIR embraces Equality and Diversity, ensuring inclusion and equal opportunity in recruitment, hiring, training, and management for all staff within the organization, regardless of gender, civil status, family status, sexual orientation, gender identity and expression, religion, age, functional diversity, or ethnicity.



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