Associate Director, Applied Data Science & Modelling
Core
Lead the application of AI/ML, advanced analytics, and data science solutions to address high-value scientific and operational challenges in Advanced Synthesis.
Role type
Associate Director, Applied Data Science & Modelling
Builds
Predictive models, optimization tools, and decision-support systems for scientific outcomes and operational efficiency
Domain
Pharma/Biotech/CDMO, Advanced Synthesis, AI/ML, Cheminformatics
Deliverable
production ML models | product features
Required skills
Machine learning, artificial intelligence, data science, Python programming, PyTorch, TensorFlow, Scikit-learn, end-to-end data science solution development, stakeholder management, strategic influence, mentoring
Preferred skills
Bioconjugation, MLOps, digital transformation, scientific workflow optimization
Responsibilities
Partner with R&D scientists to translate business needs into scalable digital solutions; Design and implement predictive models and optimization tools; Collaborate with data engineering and technical teams to deliver end-to-end solutions; Drive innovation by evaluating emerging AI/ML methodologies; Establish scalable standards and frameworks across Data Science & Modelling initiatives; Mentor colleagues and contribute to team development
Seniority
Associate Director, strategic leadership with hands-on technical expertise
