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# Associate Director, Applied AI/ML & Data Science Lead

- **Company:** Lonza
- **Location:** Oss, Netherlands (Remote available)
- **Experience:** Expert
- **Salary:** €7,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Bioinformatics, Software Code Optimization, Computer Programming, Information Engineering, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Scikit Learn, Information Technology, Machine Learning Operations
- **Published:** November 10, 2026
- **Apply:** https://vacaturesinfarma.nl/job/lonza/associate-director-applied-aiml---data-science-lead-2f211d4dcbf91

## About the Role

* 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.

## Description

* 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.