Associate Director, Applied AI/ML & Data Science Lead

Lonza is hiring an Associate Director, Applied AI/ML & Data Science Lead. Level rates it ; you can apply on Lonza.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
Tools and skills the posting cites include PyTorch, TensorFlow and scikit-learn.
Level classifies it as an executive role.
Level lists 580 other open roles at Lonza.
The role was posted in the last few days.

AI in this role

PyTorchTensorFlowscikit-learn

ml-ops

Associate Director, Applied AI/ML & Data Science Lead

The actual location of this job is in Oss, The Netherlands. Relocation assistance is available for eligible candidates and their families, if needed.

Join Lonza and help shape the future of Advanced Synthesis through AI, machine learning, and data science. This strategic role combines scientific expertise, advanced analytics, and digital innovation to accelerate research, improve decision-making, and deliver business impact across the organization.

This is an office‑first role. Working together in person supports close, real‑time collaboration and team alignment, enabling us to deliver our best work. You will work primarily in the office, with the flexibility to work remotely for 20% of your time (one day per week).

What you will get:

An agile career and dynamic working culture.

An inclusive and ethical workplace.

Compensation programs that recognize high performance.

The opportunity to shape and scale AI/ML and Data Science capabilities within a global organization.

Leadership opportunities through mentoring, capability building, and strategic influence.

A variety of benefits. The full list of our global benefits can be found here: https://www.lonza.com/careers/benefits

The full-time annual base pay for this position in The Netherlands is expected to range between 84.000, - EUR and 117.600,- EUR. Initial salary placement within this range will be determined based on role-related factors such as experience, qualifications, and expected contribution.

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.

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.

Ready to shape the future of life sciences? Apply now.

How we rate this

Associate Director, Applied AI/ML & Data Science Lead at Lonza rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Associate Director, Applied AI/ML & Data Science Lead is an open job at Lonza.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in NL - Oss.
The job was posted on November 9, 2026.
Seniority: executive.
Applications are handled by Lonza. Apply on Lonza

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsPyTorchTensorFlowscikit-learn

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
Walk me through how you've used PyTorch in your day-to-day work.
What are the limits of TensorFlow that you've run into, and how did you work around them?
What's a project where you used scikit-learn hands-on?
How would you decide a model or AI system is ready to ship?

Adapt your resume

List these exact terms on your resume: ML Ops, PyTorch, TensorFlow, and scikit-learn. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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