Associate Director, Scientific Digital Lead – Bioconjugation

Drive digital innovation within bioconjugation by identifying opportunities where data, AI, and computational technologies can enhance scientific outcomes. Partner closely with scientists and business stakeholders to understand challenges and translate them into impactful digital solutions. Define digital use cases, success criteria, user stories, and high-level functional requirements. Lead cross-functional agile teams including subject matter experts, data scientists, data engineers, and IT partners. Manage solution delivery from concept to deployment, ensuring adoption, value realization, and stakeholder alignment. Monitor emerging scientific and digital trends and recommend future capabilities that strengthen R&D performance. Act as a thought leader and mentor, helping grow digital capabilities across the organization.

At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of. Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we value diversity and are committed to creating an inclusive environment for all employees. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board.

• PhD in Chemistry, Bioconjugation, Chemical Engineering, Pharmaceutical Sciences, Computational Sciences, or a related scientific discipline, or equivalent experience.

• Solid experience in pharmaceutical, biotechnology, CDMO, CRO, or related scientific environments.

• Experience applying digital, data science, computational, or AI-driven approaches to research and development challenges.

• Proven ability to translate scientific needs into scalable digital products, capabilities, or solutions.

• Excellent stakeholder management, communication, and cross-functional collaboration skills.

• Experience with digital transformation, scientific workflow digitalization, analytics, AI/ML, or innovation strategy is advantageous.