
Associate Director – Open-Source Application Development
Posted Aug 4

Posted Aug 4
This is a fully remote position, open to applicants in United Kingdom.
• Develop, implement, and oversee Everest's strategy for open-source application development that supports clinical data standards, statistical programming, and analytics.
• Ensure that applications are aligned with global regulatory standards and evolving guidelines regarding data standards, automation, and advanced analytics.
• Manage the design, development, and upkeep of applications, packages, and utilities based on R and Python.
• Facilitate metadata-driven data models and automate downstream clinical data processes.
• Discover opportunities to enhance workflows, minimize manual tasks, and eliminate redundancies through standardized automated solutions.
• Establish and oversee frameworks for application development and validation life cycles.
• Ensure that AI-assisted development methods comply with regulatory standards, data integrity principles, and requirements for validation and documentation.
• Maintain a Software Development Life Cycle (SDLC) framework that includes source control, branching, testing, and release management.
• Promote quality, compliance, operational excellence, and innovation within application development.
• A Master's degree (M.Sc., M.A., or higher) in Statistics, Computer Science, or a related field.
• A minimum of 10 years of experience in clinical research and the industry.
• Proven experience in implementing CDISC standards across multiple therapeutic areas.
• Experience in supporting regulatory submissions for clinical trial data.
• Strong practical skills in R, Python, and SAS.
• Experience in application development, including the creation of packages/libraries and software design.
• Familiarity with applying AI and LLM tools for coding development, code generation, code review, testing, and application integration.
• Proficient with GitHub or similar platforms, such as GitLab or Bitbucket.
• Understanding of code review processes, branching strategies, and CI/CD practices.
• Extensive knowledge of clinical trial data management, statistical programming, and analysis needs for regulatory submissions.
• Excellent written communication and presentation abilities.
• Experience in developing and delivering training curricula is preferred.
• Willingness to travel for business up to 10% of the time.
• Flexible remote work options.
• Up to 10% business travel.
• Accommodations for candidates with disabilities are available during recruitment and selection upon request.
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