Associate Director – Programmer, AI & Automation

Responsibilities

• Oversee and coordinate clinical database activities across multiple clinical programs, including review of eCRFs, edit check specifications, and database development
• Ensure adherence to clinical database standards, SOPs, and process guidelines
• Plan and manage timelines for database deliverables; identify and elevate risks appropriately
• Interface with study teams and stakeholders to integrate requirements into deliverables
• Align with CDS leadership to ensure consistency of technical strategies and execution
• Lead and participate in improvement initiatives, including task forces, automations, and exploration of emerging digital capabilities (e.g., advanced analytics, AI-enabled tools)
• Contribute strategies and innovative solutions to enhance processes and increase productivity, including the appropriate use of automation and data-driven approaches
• Support testing and evaluation of new systems, tools, and capabilities
• Coordinate and contribute to CDS technical initiatives that improve efficiency and scalability
• Serve as subject matter expert (SME) in clinical database and EDC activities, including database development and data integration
• Increase functional effectiveness by supporting efforts to simplify and standardize processes, including identifying opportunities for automation and improved data workflows
• Provide technical guidance, best practices, and knowledge sharing across the team and broader organization
• Provide oversight and guidance to Clinical Database Developers
• Support recruitment, onboarding, mentoring, and technical development of team members
• Contribute to performance management input and capability development planning
• Lead or contribute to functional and cross-functional meetings
• Communicate clinical database processes, requirements, and risks effectively to stakeholders and vendors
• Support alignment, decision-making, and continuous improvement efforts

• Bachelor’s degree in Computer Science or related discipline (or equivalent experience)
• Minimum of 5 years of experience in pharmaceutical clinical research / data management
• Experience in clinical database development, EDC systems, and data management processes
• Strong understanding of clinical database design, eCRFs, edit checks, and data collection frameworks
• Knowledge of EDC and data management systems
• Familiarity with clinical data standards, regulatory requirements, and GxP/ICH guidelines
• Understanding of end-to-end clinical data lifecycle and data cleaning processes
• Strong stakeholder management and cross-functional collaboration skills
• Effective communication and ability to translate technical concepts clearly
• Strong organizational, prioritization, and multi-project management skills
• Ability to work independently and manage competing priorities
• High attention to detail and commitment to quality and compliance.
• Preferred:
  Experience in technology implementation and/or system evaluation
• Preferred:
  Exposure to automation tools, data workflows, and process optimization approaches
• Preferred:
  Demonstrated awareness of emerging digital capabilities, including automation and AI, and their potential application within clinical data management
• Ability to identify opportunities to improve processes using data-driven and automation approaches, while ensuring compliance within regulated environments