Senior Scientist, Discovery Data Science

apartmentJohnson & Johnson placeMadrid calendar_month 

Experteer Overview

As a Senior Scientist in Discovery Data Science, you drive AI/ML innovations to accelerate drug discovery. You will collaborate with cross-functional teams to translate computational insights into tangible experimental decisions. You shape data-generation strategies and method development, enabling faster, smarter design of molecules.

This role offers exposure to cutting-edge AI and data science in a mission to advance human health and patient outcomes.

Compensaciones / Beneficios
  • Develop and deploy next-generation AI/ML solutions for drug discovery and chemical space exploration
  • Collaborate with IT and MLOps teams to productionize models influencing scientific decisions
  • Translate computational results into clear, actionable insights for diverse scientific audiences
  • Integrate ML/AI into laboratory workflows to optimize experiments and reveal design strategies
  • Foster a collaborative, inclusive team culture and publish work in peer-reviewed venues
  • Contribute to external scientific communication through conferences and publications
Responsabilidades
  • PhD in Data Science, Computational Science, or related field with hands-on ML experience
  • Proven ability to design and evaluate deep learning architectures
  • Proficiency in Python and deep-learning frameworks (PyTorch, TensorFlow, or Keras)
  • Strong knowledge of scientific libraries (NumPy, SciPy, Pandas)
  • Experience or affinity with cloud computing and MLOps
  • Experience in predictive modeling and AI-assisted molecular design for small molecules (desired)
  • Familiarity with biology or chemistry and ability to learn across domains
  • Strong cross-functional collaboration and project management skills
  • Track record of planning and delivering complex scientific projects
  • Passion for applying computational science to real-world industrial problems
Requisitos principales
  • annual performance bonus
  • competitive compensation
  • employee benefits information available
  • hybrid work arrangement
  • international collaboration opportunities
  • professional development support
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