Principal Statistical Programmer
The Principal Statistical Programmer will lead programming activities for one or more studies, ensuring high-quality development, validation, and delivery of complex analysis outputs. Drive technical excellence, innovation, and standards adoption while providing strategic insights into study data. Mentor junior programmers and influence programming approaches through strong technical leadership and communication.This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:Technical Leadership & Delivery Lead programming for studies, ensuring efficient development and validation of analysis packages.Select appropriate tools/languages and solve complex technical challenges.Identify and implement improvements, including use of AI/ML.Contribute to departmental initiatives and technical strategy.Quality & Compliance Ensure adherence to standards (e.g., GPP, CDISC) and regulatory requirements.Perform QC on critical outputs and technical documents (e.g., cSDRG, ADRG).Maintain governance and oversee TMF compliance.Strategy & Innovation Drive adoption of modern technologies, standards, and Agile practices.Provide technical input on programming strategies and study design.Act as SME for emerging tools when needed.Communication & Mentorship Communicate technical concepts, risks, and timelines clearly to stakeholders.Mentor junior programmers and share best practices internally and externally.Collaboration & Execution Support sprint planning and project delivery across studies.Collaborate cross-functionally and manage data access appropriately.Support regulatory interactions and contribute to CoE activities.AccountabilitiesServe as Lead Programmer for complex or multiple studies.Ensure quality, compliance, and efficient execution of programming activities.Make data-driven decisions and proactively address risks and issues.Why You:Basic QualificationWe are seeking professionals with the following required skills and qualifications to help us achieve our goals:Bachelor’s degree in Statistics, Computer Science, or a related field.Expertise in R programming.6+ years of clinical programing experience5+ years of experience in the Pharmaceutical or Biotechnology industry.Experience using generative AI tools and coding assistants (e.g., GitHub Copilot, Codex, and Claude) to improve programming efficiency, automation, code quality, and analytical workflows in clinical programming.Preferred QualificationIf you have the following characteristics, it would be a plus:Strong experience supporting HIV clinical trials and drug development within the pharmaceutical or biotechnology industry.Advanced degree in Statistics, Computer Science, Data Science, or a related discipline.Experience using generative AI tools and coding assistants (e.g., GitHub Copilot, Claude, or Codex) to improve programming productivity and automation.Familiarity with modern software engineering pr...