Associate Director Science & Technology
Job Description Summary The Analytical Technical Lead will be responsible for collaboratively creating science-driven project plans together with DS, DP, RA, and QA line functions. Their efforts will be central to enabling CMC-team effectiveness through active prioritization, robust development strategies and supply plans, effective risk management, and ensuring appropriate resourcing.
Job Description Key Responsibilities Technical lead for analytical projects Accountable for all analytical deliverables for the assigned project portfolio Responsible for creating science driven project plans jointly with DS, DP, RA & QA line functions.
Enable CMC-team effectiveness through active prioritization, robust development strategies & supply plans, effective risk-management and appropriate resourcing. Ensuring realistic analytical timelines, capacities and deliverables in CMC project plan Define analytical control strategy in line with the overall project plan, strategic priorities, SOPs and regulatory expectations Provide timely analytical input to project governance meetings.
Represent analytical function in the project meetings. Communicate potential risks and mitigation strategy Lead analytical scientists in a matrix environment. Mentor / provide technical guidance to colleagues (in- and outside ARD) Support TRD/ARD strategic priorities for operational excellence and simplification.
Supporting rollout of D&D tools Work according to appropriate SOPs, GMP, GLP, QM, HSE, & Novartis Guidelines Essential Requirements: Master of Science / Pharmacy or equivalent and 20+ yrs pharma Industry experience Good knowledge of English : oral and written Proficient in Analytical development .Good knowledge of software tools Good presentation skills and scientific/technical writing skills Strong Leadership skills Desirable: Advanced degree (Ph.D. or equivalent) Skills Desired Budget Management, Coaching Skills, Data Science, Experiments Design, Laboratory, Problem Solving Skills, Process Simulation, R&D, Waterfall Model