At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
The Position
At Roche, we believe that every patient deserves access to life-changing innovations. As a integral healthcare leader operating across pharmaceuticals and diagnostics, we combine cutting-edge science, advanced technology, and a passion for improving lives to address some of the world's most challenging medical needs. Driven by our commitment to research and sustainable healthcare solutions, we foster an inclusive, collaborative environment where diverse teams are empowered to question the status quo, drive continuous improvement, and redefine what is possible in modern medicine.
We are seeking an experienced AI/ML & Digital Quality Lead to provide Quality Assurance oversight and guidance while designing and implementing cutting-edge AI/ML Digital solutions in a GMP Environment. If you have a passion for innovation and a proven track record in implementing AI/ML systems, this role is made for you.
Do you bring experience in implementing or enabling the qualifications of digital solutions, preferably in the pharma industry, and are you looking for an impactful role? We seek an individual with excellent knowledge of the pharma data ecosystem, informatics systems, tools, and techniques with a focus on quality and compliance. As the AI/ML Compliance Lead you will work with the business, data scientists, and IT to design, validate, implement and support in operation Artificial Intelligence and Machine Learning (AI/ML) Systems to fulfill GMP business objectives. By working closely with technical teams, you wil
📌 AI/ML Compliance Lead (Madrid)
🏢 Roche
📍 Madrid