Summary by IrelandJobHub
Novartis seeks an Associate Director to lead AI and automation adoption within its Advanced Quantitative Sciences function in Dublin. The role bridges technical engineering and business needs, translating complex data requirements into scalable solutions. The candidate will redesign clinical trial workflows, manage stakeholder relationships, and ensure compliance with GxP standards. Success requires a strong technical background in programming and a proven ability to drive organizational change in regulated environments.
Role Overview
Novartis requires an Associate Director to spearhead the integration of artificial intelligence and automation within its Advanced Quantitative Sciences division. Based in Dublin, the position focuses on transforming complex clinical data into actionable insights. The incumbent acts as a catalyst, ensuring that technological advancements translate into sustainable improvements in daily operations. This involves co-leading initiatives with engineering and business partners to enhance quantitative decision-making in clinical trials.
Key Responsibilities
The role demands a dual focus on technical execution and change management. The individual will own the adoption roadmap, guiding tools from pilot stages to scaled rollout. Responsibilities include translating business needs into technical requirements, managing stakeholder relationships across matrix organizations, and redesigning quality control workflows. Ensuring compliance with GxP standards and maintaining inspection readiness are critical. The position also involves prototyping solutions and fostering a culture of continuous learning and responsible AI use.
Essential Requirements
Candidates must hold an MSc or PhD in a quantitative discipline such as Computer Science, Data Science, or Biostatistics. Extensive experience in technology delivery within life sciences or regulated industries is mandatory, with at least three years leading business transformation. A proven track record of scaling AI solutions with measurable impact is required. Proficiency in R and/or Python, alongside an understanding of software engineering practices, is essential. Strong stakeholder management skills and fluency in English are also necessary.
Desirable Qualifications
Preferred candidates may possess certifications in change management, Lean/Six Sigma, or agile methodologies. Experience with analytics platforms like Domino or CDISC initiatives is advantageous. An external profile demonstrated through publications or conference talks is valued. The role offers a base salary of 89,620 EUR, potential performance bonuses, and comprehensive benefits including insurance and retirement plans.