Associate Director, AQS Tech & Scientific Computing

Job Description Summary The Associate Director role is pivotal in leading the development and adoption of innovative tools and processes for clinical reporting on a cutting-edge, cloud-based platform. You will collaborate closely with stakeholders from statistical programming, biostatistics, and pharmacometrics to facilitate the iterative development of new clinical reporting processes.

This includes supporting the development of open-source tools, with a focus on complex executions, such as implementing novel statistical methods as well-documented and thoroughly tested R packages. Job Description Major Activities: 1. Develop New Ways of Working: lead discussions about adapting new ways of working to enable provenance, orchestration, versioning of data, outputs, and code from planning of deliverables through to submission. 2.

Matrix Leadership: You will work as part of an interdisciplinary team that ranges from current users, process engineers, platform development team, and an innovation team focused on the application of AI and automation. 3. Lead Tool Development/Integration: Lead and develop technical tools, packages, and applications for the integration of key business tools that enable clinical trial teams to design and analyze clinical trials. 4.

Agile Development: Participate and drive the agile development cycle, from gathering user requirements and prototyping to production release, demos, training, and support. 5. Continuous Improvement: Work with users to identify opportunities for continuous improvement and modernization of our tooling. 6.

Problem-solving Skills: Demonstrated ability to lead the analysis of complex problems, identify potential solutions, and implement effective outcomes. 7. Mentor Team Members: Coach junior team members on technical topics and best practices, including R package development, agile development, and managing environments. 8.

Promote Open-Source Culture: Foster a culture of continuous evolution and open-source development by engaging with external communities, contributing new packages/features, and undertaking maintenance and support activities. Skills Desired Artificial Intelligence (AI), Biostatistics, Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis