Associate Director, Technology & Scientific Computing

Key Responsibilities

• Act as the primary interface between business stakeholders, biostatisticians, statistical programmers, and technical teams.
• Lead requirement gathering workshops and translate clinical/statistical needs into structured functional and technical specifications.
• Ensure alignment between Statistical Analysis Plans, reporting outputs (TLFs), and system implementation.
• Drive end-to-end requirement traceability across development, validation, and deployment phases.
• Oversee design and delivery of scalable R-based analytics applications and Shiny dashboards.
• Ensure regulatory compliance, audit readiness, and adherence to documentation and governance standards.
• Provide structured updates on progress, risks, dependencies, and mitigation plans.

Minimum Requirements

• 14+ years of experience in analytics, statistical programming, or software development. Proven experience in pharmaceutical or clinical research domain engagements.
• Advanced R programming (data manipulation, statistical modelling, visualization).
• Strong experience with Shiny for interactive dashboards and web applications.
• Experience with Posit platform tools (Workbench, Connect, Package Manager) or equivalent.
• Expertise in statistical computing and analytics solution design.
• R package development and familiarity with CRAN/Bioconductor libraries.
• Proficiency in SQL and relational databases. Strong understanding of Git version control (branching strategy, pull requests, release coordination).
• Experience integrating R with enterprise systems, APIs
• Strong understanding of clinical trial lifecycle