Summary

Work closely with project teams and innovation teams to drive use of statistical and data science methods in combined lab and computational experimental planning, analysis and reporting for the development of drug product formulations. Enable scientists to independently work with basic statistical methods while directly supporting advanced statistical and data science tasks. Apply statistical and data science methods to generate business insights for continuous improvement and enhancing our ways of working.

About the Role

Major accountabilities:

• Project manages own tasks and work with team members; plans proactively, anticipates, and actively manages change,
• Supports teams to set stakeholder expectations as required, identify operational risks and provide insights leading to effective mitigations.
• Collaborate with internal stakeholders, external partners, and cross-functional teams to

• Minimum: Advanced degree in statistics, data science, physical science, engineering, pharmaceutics or relevant discipline (PhD or equivalent) with a strong focus on DoE, combining experiments and simulations or data science techniques.Desirable: Ph.D. in scientific or relevant discipline or equivalent
• Experience in pharmaceuticals, food, chemicals, oil and gas or similar.
• Master's with 8-10 years' experience or PhDs with 4-6 years' experience.
• Expert in statistical experimental design such as Design of Experiments, Bayesian optimization etc.
• Expert in multi-variate data analysis
• Interdisciplinary thinking and interest in collaboration with other functions.
• Successfully demonstrated track record of creativity and problem solving in projects.
• Strong presentation skills and scientific/technical writing skills.
• Good project management skills.
• Good communication skills, organizational, planning and negotiation skills.
• Coaching skills
• Curiosit
• Skills (Desirable but not mandatory)
• Knowledge of relevant GLP, GMP regulations and policies.
• Understanding of the development of pharmaceutical formulations including solid understanding of QbD principles
• Applied Mathematics.
• Statistical modelling
• Data Science.
• Data Visualization.
• Languages :
• English.