Lead impactful projects at a top-tier organization driving innovation and excellence. Collaborate with cross-functional teams to enhance programming workflows and standards. Advance your career in a dynamic and supportive environment.
Director Data Standards And Statistical Programming
in Healthcare + Life Sciences PermanentJob Detail
Job Description
Overview
- Lead strategic initiatives for statistical programming standards and infrastructure development in a dynamic and innovative environment.
- Ensure compliance with regulatory requirements, industry standards, and internal quality processes for programming deliverables.
- Collaborate with cross-functional teams to drive innovation and efficiency in programming workflows.
- Oversee the creation and lifecycle management of global macros, reusable code libraries, and programming tools.
- Provide leadership and mentorship to a team of statistical programmers and standards specialists.
- Identify emerging technologies and best practices to enhance programming capabilities.
- Champion process improvements and standardization initiatives across the organization.
- Serve as a subject matter expert during audits and regulatory inspections.
Key Responsibilities & Duties
- Define and execute the vision for statistical programming standards aligned with organizational goals.
- Establish governance for global programming standards, tools, and processes.
- Ensure adherence to SDLC principles for programming tools and infrastructure components.
- Collaborate with IT to maintain robust, secure, and compliant programming environments.
- Oversee quality control processes for CRO deliverables and internal outputs.
- Align standards and infrastructure with clinical development needs through stakeholder collaboration.
- Manage resource allocation, training, and career development for team members.
- Influence organizational policies related to programming standards and infrastructure.
Job Requirements
- Bachelor's degree in a related discipline with extensive pharmaceutical/biotech statistical programming experience.
- Proficiency in SAS/Base, SAS/Stat, SAS/Macro; experience with R and Python is advantageous.
- Strong knowledge of CDISC standards, SDLC principles, and regulatory requirements.
- Demonstrated strategic thinking and ability to translate vision into actionable plans.
- Excellent leadership, communication, and collaboration skills.
- Experience authoring SOPs and work instructions for programming standards.
- Familiarity with oncology clinical trials is preferred.
- Ability to work on complex problems requiring innovative solutions and strategic analysis.
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