Associate Director, Applied Data Science & Modelling

About Lonza

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.

What you will do

Lead the application of AI/ML, advanced analytics, and data science solutions to address high-value scientific and operational challenges. Partner with R&D scientists and Advanced Synthesis stakeholders to translate complex business needs into scalable digital solutions. Design and implement predictive models, optimization tools, and decision-support systems that improve scientific outcomes and operational efficiency. Collaborate with data engineering, digital, and technical teams to deliver robust end-to-end solutions from concept through deployment. Drive innovation by evaluating and introducing emerging AI/ML methodologies, technologies, and best practices. Influence strategic priorities and establish scalable standards, frameworks, and ways of working across Data Science & Modelling initiatives. Mentor colleagues and contribute to the growth of digital capabilities and future team development.

What we are looking for

PhD in Data Science, Computer Science, AI/ML, Chemistry, Chemical Engineering, Bioconjugation, or a related scientific discipline, or equivalent experience. Solid industry experience in data science, AI/ML, computational sciences, cheminformatics, bioinformatics, or related fields within pharma, biotech, CDMO, or similar environments. Advanced expertise in machine learning, artificial intelligence, and data science with a track record of delivering business impact. Strong programming skills in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. Experience developing end-to-end data science solutions from exploration and modelling through deployment and adoption. Excellent stakeholder management and cross-functional collaboration skills with the ability to influence senior leaders. Experience in bioconjugation, MLOps, digital transformation, or scientific workflow optimization is highly desirable.

Fähigkeiten

PythonML / AIPyTorchTensorFlow

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Auf Anfrage

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