INSUD PHARMA operates across the entire pharmaceutical value chain, providing specialized knowledge and experience in scientific research, development, manufacturing, sales, and marketing of a wide range of active pharmaceutical ingredients (API), finished dosage forms (FDF), and branded pharmaceutical products, adding value to human and animal health.
The activities of INSUD PHARMA are organized into three synergistic business areas: Industrial (Chemo), Branded (Exeltis), and Biotech (mAbxience), with over 9,000 professionals in more than 50 countries, 20 state-of-the-art facilities, 15 specialized R&D; centers, 12 commercial offices, and more than 35 pharmaceutical subsidiaries, serving 1,150 customers in 96 countries worldwide. INSUD PHARMA believes in innovation and sustainable development.
Ready to be a #Challenger?
What are we looking for?
We're AI Labs — the applied AI team at Insud Pharma. 30 people. AI Engineers, Data Scientists, DevOps Engineers, Product Managers building the systems that power how trials get designed, how patients get recruited,



and how everything gets monitored once the trial is live.
Clinical trials run on data. Bad pipelines, slow models, and infrastructure that breaks under pressure can cost months — or worse, the trial itself.
We are seeking a highly skilled Data Engineer / Machine Learning Engineer to join our Applied AI Team. The adecuado candidate combines strong software engineering foundations with hands‑on experience in data pipelines and machine learning systems, and enjoys working at the intersection between data, models, and production systems.
As a Data Engineer / MLE at AI Labs, you will work closely with data scientists, software engineers, and product owners to design, build, deploy, and operate end-to-end data and machine learning solutions across multiple business units — including Regulatory, Clinical Trials, R&D;, Pharmacovigilance, and Drug Manufacturing.
This role is critical to ensuring that AI models move reliably fro

📌 Data Engineer MLE (Madrid)
🏢 Insud Pharma
📍 Madrid