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Data Scientist – Applied AI Lab

Insud Pharma · Madrid et périphérie

🇬🇧 English
graph theory embeddings neural network forecasting causality Bayesian optimization

Job description

About the role

INSUD PHARMA’s AI Labs is looking for an Applied Data Scientist to join its Data Science team. You will work on diverse, high‑impact problems across R&D, drug manufacturing process optimisation, clinical trials and more, building models from the ground up and delivering them into production.

Key responsibilities

  • Collaborate with small, cross‑functional squads (Product Manager, Engineer, stakeholders) to define problem framing and deliver end‑to‑end solutions.
  • Perform exploratory data analysis to uncover patterns and generate insights.
  • Design, develop, and rigorously validate models using graph theory, embeddings, neural‑network forecasting, causality and Bayesian optimisation.
  • Own the full deployment pipeline, ensuring models are production‑ready and continuously monitored.
  • Present work in regular demo days and contribute to white‑board problem‑solving sessions.

Required profile

  • Strong technical foundation in data science and machine learning.
  • Curiosity to tackle varied domains and rigor to justify methodological choices.
  • Ability to work independently while delivering visible impact from day one.
  • Comfort with fast‑moving, startup‑like environment and flat, collaborative culture.

Required skills

  • Graph theory
  • Embeddings
  • Neural network forecasting models
  • Causality analysis
  • Bayesian optimisation

What we offer

  • Startup mindset within a global pharmaceutical leader.
  • Flat, collaborative environment with fast feedback loops.
  • Central Madrid office in the vibrant Chamberí district.
  • Opportunities to work on cutting‑edge AI applications in pharma.

Questions fréquentes

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Published 4 months ago

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Insud Pharma

Madrid et périphérie