
501 - 1000 employees
Founded 2004
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Everest Clinical Research is a global contract research organization (CRO) that provides end-to-end clinical trial services and biometrics expertise to pharmaceutical and biotechnology sponsors. The company offers clinical operations and project management, risk-based quality management and centralized monitoring, medical monitoring, pharmacovigilance, clinical data management, biostatistics and statistical programming, regulatory strategy and submissions, and technology solutions such as IRT/RTSM and ePRO/eCOA. Everest positions itself as a high-touch, quality-driven partner with global reach and therapeutic expertise across oncology, neurology, respiratory, rare diseases and immunology.
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501 - 1000 employees
Founded 2004
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Everest Clinical Research is a global contract research organization (CRO) that provides end-to-end clinical trial services and biometrics expertise to pharmaceutical and biotechnology sponsors. The company offers clinical operations and project management, risk-based quality management and centralized monitoring, medical monitoring, pharmacovigilance, clinical data management, biostatistics and statistical programming, regulatory strategy and submissions, and technology solutions such as IRT/RTSM and ePRO/eCOA. Everest positions itself as a high-touch, quality-driven partner with global reach and therapeutic expertise across oncology, neurology, respiratory, rare diseases and immunology.
• Define, implement, and govern Everest's open-source application development strategy supporting clinical data standards, statistical programming, and analytics • Ensure alignment with global regulatory expectations and evolving guidance related to data standards, automation, and advanced analytics • Oversee the design, development, and maintenance of R- and Python-based applications, packages, and utilities • Support metadata-driven data models and automation of downstream clinical data activities • Identify opportunities to streamline workflows, reduce manual effort, and eliminate redundancies through standardized and automated application solutions • Establish a controlled innovation framework for application development and validation lifecycle • Define design specifications, coding standards, coding review, version control, change management, and impact assessment practices • Ensure AI-assisted development aligns with 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
• 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 • Application development experience, including package/library creation and software design for clinical data and statistical programming use cases • Experience applying AI and large language model (LLM) tools for 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 regulatory trial results • Strong written communication and presentation skills • Up to 10% business travel may be required • Experience developing and delivering training curricula is preferred
• Medical, dental, and vision coverage • Life & AD&D insurance • Short- and long-term disability • Tuition reimbursement • Fitness reimbursement • Employee assistance program (EAP) • Pension plan • Generous paid time off and sick leave • Opportunity to earn a performance based bonus
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