Associate Director, Applied AI/ML & Data Science Lead

Location: Oss, The Netherlands. Office-first role with remote work permitted for 20% of the time, typically one day per week. Relocation assistance is available for eligible candidates and their families.

Annual base pay: €84,000–€117,600 in the Netherlands.

Company

hirify.global is a global life sciences organization with more than 30 sites across five continents, manufacturing medicines and supporting customers in turning breakthrough ideas into viable therapies.

What you will do

• Lead AI/ML, advanced analytics, and data science solutions for high-value scientific and operational challenges.
• Partner with R&D scientists and Advanced Synthesis stakeholders to translate complex needs into scalable digital solutions.
• Design and implement predictive models, optimization tools, and decision-support systems.
• Collaborate with data engineering, digital, and technical teams to deliver solutions from concept through deployment.
• Evaluate emerging AI/ML methodologies, technologies, and best practices, while establishing scalable standards and frameworks.
• Mentor colleagues and contribute to strategic priorities and future digital capability development.

Requirements

• 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, including the ability to influence senior leaders.

Nice to have

• Experience in bioconjugation, MLOps, digital transformation, or scientific workflow optimization.

Culture & Benefits

• Agile career and dynamic working culture in an inclusive and ethical workplace.
• Compensation programs recognizing high performance and a variety of benefits.
• Opportunity to shape and scale AI/ML and Data Science capabilities within a global organization.
• Leadership opportunities through mentoring, capability building, and strategic influence.
• Collaborative, accountable, excellent, passionate, and integrity-driven working environment.