Director, Quantitative Solutions Engineering

Location: This position is available on a remote basis in the UK.

Our team is pioneering and driving transformative innovation through quantitative solutions engineering, in support of the Analytics vision and strategy to reimagine our pharmaceutical development.

In this role, you'll be accountable for crafting and evolving end-to-end processes and tools enabling quantitative scientists to unlock complex data sources and AI to produce evidence and support decisions in drug development in both GxP and non GxP environments.


KEY RESPONSIBILITIES:

- Owning the end-to-end design, implementation, maintenance and evolution of processes for data integration, analysis and reporting in drug development.

- Leading design of processes using automation, agile practices and modern systems and tools to improve quality and reduce time to integrate and analyze data and report results, in compliance with regulatory requirements where applicable.

- Authoring documents and providing guidance into teams responsible for authoring procedural documents and training, in alignment with the Procedure and Training Governance Board (PTGB) process with support from the Analytics PTGB representative.

- Enabling roll-out of the new processes and ensure alignment with Novartis enterprise-wide business process team and tools and be an Analytics Point of Contact.

- Leading organisational change for processes bringing consistency to ways of working across global, multi-functional organization and engage with end-users to identify areas for continuous improvement.

- Participating in oversight and management of risks and act as point of contact for inspections and audits for processes in remit. Aligning with Analytics Quality, Compliance and Process (QCP) management team.

- Engaging as a catalyst and Point of Contact for process initiatives across Development initiatives.

- Proposing leading or contributing to functional or multi-functional process engineering initiatives requiring coordination of diverse team members to support priority projects across Analytics and Development.

- Monitoring and influence other processes/systems that impact data integration, analysis and reporting. Focusing on scalable reproducible solutions that also own the way in modernizing reporting activities in GxP.

- Engage with the wider industry community to bring in expertise, establish standards and advertise our work through participation in cross-industry working groups and whitepaper publications.