1 in 10,000 is the frequency of a rare safety event! The science of detecting, quantifying and communicating adverse drug reactions as well as designing measurable risk minimization activities – this is quantitative safety science. Providing patients with more benefits than risks is Novartis’ top priority.
As Director Quantitative Safety Statistician you will shape the quantitative safety strategy for multiple programs across multiple indications during the whole life cycle. You will set innovative scientific and functional standards for excellence in signal detection, safety evaluation and benefit-risk assessment to inform internal and external evidence-based decision-making.
Location: Ireland (hybrid) / UK (remote) / Spain (hybrid) #LI-Hybrid
Your responsibilities:
Your responsibilities include, but are not limited to:
• Establishing the quantitative safety science strategy for assigned programs during the full life cycle, including early and full development, pre-, peri- and post- regulatory submissions
• Expert level contribution to strategy (design, analysis/synthesis, interpretation and reporting, health authority response, influence and implement publication strategy, quantitative decision making) for complex, critical studies across programs/indications
• Leading collaborations and effective partnerships with medical safety, epidemiology, clinical, regulatory and other quantitative scientists to ensure quantitative decision-making based on data from different sources in a pro-active manner
• Proposing and implementing modern and innovative statistical methods to support safety signal detection, safety risk and benefit-risk assessment. Promoting their use and acceptance within and outside of the organization through presentations, publications and scientific collaborations.
• Identifying and leading cross-functional scientific improvement and change initiatives providing strategic, technical, operational, and scientific solutions to the organization
• Representing Quantitative Safety & Epidemiology at internal and external decision boards
• Mentoring others in developing strategic quantitative frameworks