Associate Director, Open-Source Application Development

Associate Director, Open-Source Application Development

Job Category : Statistical Programming

Requisition Number : ASSOC

• Posted : August 4, 2026
• Full-Time
• Remote

Locations

Showing 1 location

Remote
United Kingdom

Description

Everest Clinical Research (“Everest”) is a full-service contract research organization (CRO) providing a broad range of expertise-based clinical research services to worldwide pharmaceutical, biotechnology, and medical device industries. We serve some of the best-known companies and work with many of the most advanced drugs, biologics, and medical devices in development today.

Everest has been an independent CRO since 2004 with a strong foundation as a statistical and data management center of excellence. Building on this foundation, Everest has successfully developed and established itself as a full-service CRO. Everest’s Corporate headquarters are located in Ontario Canada and US headquarters in New Jersey USA, with additional physical offices in Asia and Europe.

Everest is known in the industry for its high-quality deliverables, superior customer service, and flexibility in meeting clients’ needs. A dynamic organization with an entrepreneurial origin, Everest continues to experience exceptional growth and great success.

Quality is our backbone, customer-focus is our tradition, flexibility is our strength…that’s us…that’s Everest.

To drive continued success in this exciting clinical research field, we are seeking committed, skilled, and customer-focused individuals to join our winning team as Associate Director, Open-Source Application Development working remotely.

Job Accountabilities

• Provide leadership and expertise in defining, implementing, and governing Everest's open-source application development strategy in support of clinical data standards, statistical programming, and analytics.
• Design, write, test, and maintain production-quality SAS, R and Python code (functions, packages, APIs, and utilities), serving as a hands-on technical contributor and lead developer on priority applications, not solely a strategic overseer.
• Ensure alignment with global regulatory expectations and evolving guidance related to data standards (e.g., CDISC), automation, and advanced analytics as reflected in internally developed tools and applications.
• Oversee the design, development, and maintenance of SAS-, R- and Python-based applications, packages, and utilities that support metadata-driven data models for automation of downstream clinical data activities.
• Personally architect and build core modules, reusable functions, and internal libraries/packages ensuring clean, modular, well-documented, and maintainable code.
• Conduct in-depth code reviews and code review programming sessions with programmers and developers to raise coding quality, enforce Everest style guides, and mentor others in software engineering best practices.
• Develop and maintain CI/CD pipelines (e.g., GitHub Actions) to automate testing, linting, package building, and deployment of applications and tools.
• Identify opportunities to streamline workflows, reduce manual effort, and eliminate redundancies through custom-built, standardized, and automated application solutions spanning SAS and open-source environments.
• Prototype and build proof-of-concept tools and scripts to evaluate new packages, frameworks, libraries, or AI-assisted coding approaches before broader adoption.
• Debug, troubleshoot, and resolve technical issues in existing applications, including performance optimization, dependency management, and environment/configuration issues
• Establish a framework that supports controlled innovation in application development and validation lifecycle, including design specifications, coding standards, coding review, version control, change management, and impact assessment for new applications/tools and their releases.
• Ensure AI-assisted development approaches align with regulatory expectations, data integrity principles, and Everest validation and documentation requirements.
• Maintain a software development lifecycle (SDLC) framework appropriate for open-source language-based applications, including source control practices (e.g., GitHub or similar), branching strategy, testing standards, and release management.
• Maintain deep proficiency in SAS programming (Base SAS, SAS/STAT, macro language) to support legacy systems, hybrid SAS/R/Python workflows, and interoperability across statistical programming environments during the transition to open-source tools.
• Foster a culture that balances quality, compliance, and operational excellence with thoughtful innovation in application development.

Qualifications and Experience

• A M.Sc., M.A. or higher in Statistics, Computer Science, or a relevant field with at least 10 years of clinical research and industry experience.
• Demonstrated experience implementing CDISC standards for various therapeutic areas and supporting regulatory submissions of clinical trial data.
• Strong hands-on experience with R, Python, and , including application development (not limited to scripting/analysis), package/library creation, and software design for clinical data and statistical programming use cases.
• Demonstrated experience applying AI and large language model (LLM) tools for coding development, including code generation, code review, testing, and integration into applications/tools.
• Experience with GitHub or similar version control and application development platforms (e.g., GitLab, Bitbucket), including code review workflows, branching strategies, and .
• Experience deploying and supporting applications in cloud and containerized environments (e.g., AWS, Azure, or GCP; Docker; Kubernetes), including exposure to hosting/deployment platforms such as Posit Connect, Shiny Server, or equivalent, is preferred.
• Experience with developing and delivering training curricula is preferred.
• In-depth knowledge of clinical trial data management, statistical programming, and analysis requirements for assembling and presenting trial results to regulatory agencies.
• Strong written communication and presentation skills.
• Travel level specification: this position may require up to 10% business travel.

Everest is inviting candidates to apply to this existing vacancy.

To find out more about Everest Clinical Research and to review other opportunities, please visit our website at .

We thank all interested applicants, however, only those selected for an interview will be contacted.

Everest is committed to upholding the principles of dignity, independence, integration, and equal opportunity. We welcome and encourage applications from people with disabilities, and upon request we will provide accommodations for candidates participating in any part of our recruitment and selection process.

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