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Everest Clinical Research

Associate Director – Open-Source Application Development

Everest Clinical Research

Associate Director leading R- and Python-based open-source applications for Everest, a global clinical research organization. Governing CDISC-aligned automation, validation, SDLC, and regulatory data workflows.

Posted 8/4/2026full-timeRemote • 🇵🇱 Poland, 🇺🇸 United StatesSenior💰 $170,000 - $190,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in open-source application development for clinical data standards, with a strong focus on R and Python programming, regulatory compliance, and the application of AI tools in coding development. Proven ability to streamline workflows and enhance operational excellence through innovative application solutions.

Highest-signal resume keywords
R ProgrammingPython ProgrammingCDISC Standards ImplementationRegulatory Submissions SupportAI and LLM Tools Application

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Statistical ProgrammingApplication DevelopmentPackage/Library CreationSoftware DesignData Automation
Soft Skills
Strong Written CommunicationPresentation SkillsTraining Curriculum Development
Tools & Technologies
GitHubVersion ControlCI/CD PracticesSDLC Framework
Industry Keywords
Clinical ResearchClinical Trial Data ManagementData Integrity PrinciplesRegulatory AgenciesMetadata-Driven Data Models

Tech Stack

Tools & technologies
PythonSDLC

About the role

Key responsibilities & impact
  • Lead and provide expertise for Everest's open-source application development strategy supporting clinical data standards, statistical programming, and analytics
  • Align internally developed tools and applications with global regulatory expectations and evolving guidance related to CDISC data standards, automation, and advanced analytics
  • Oversee design, development, and maintenance of R- and Python-based applications, packages, and utilities supporting metadata-driven data models and downstream clinical data automation
  • Identify opportunities to streamline workflows, reduce manual effort, and eliminate redundancies through standardized and automated application solutions
  • Establish and govern the application development and validation lifecycle, including design specifications, coding standards, code review, version control, change management, and impact assessment
  • Ensure AI-assisted development approaches meet regulatory expectations, data integrity principles, and validation and documentation requirements
  • Maintain an SDLC framework for open-source language-based applications, including source control, branching, testing, and release management
  • Foster quality, compliance, operational excellence, and innovation in application development

Requirements

What you’ll need
  • M.Sc., M.A. or higher in Statistics, Computer Science, or a relevant field
  • At least 10 years of clinical research and industry experience
  • Experience implementing CDISC standards across various therapeutic areas
  • Experience supporting regulatory submissions of clinical trial data
  • Strong hands-on experience with R, Python, and SAS
  • Experience with application development, package/library creation, and software design for clinical data and statistical programming use cases
  • Experience applying AI and large language model (LLM) tools to coding development, including code generation, code review, testing, and application/tool integration
  • Experience with GitHub or similar version control and application development platforms, including code review workflows, branching strategies, and CI/CD practices
  • 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
  • Experience developing and delivering training curricula preferred
  • Ability to travel for up to 10% business travel

Benefits

Comp & perks
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Life and AD&D insurance
  • Short-term disability
  • Long-term disability
  • Tuition reimbursement
  • Fitness reimbursement
  • Employee assistance program (EAP)
  • Pension plan
  • Generous paid time off
  • Sick leave
  • Opportunity to earn a performance based bonus
  • Remote work option
  • Up to 10% business travel may be required