
Director, Statistical Programming Innovation β Technology
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in United Kingdom, +4 more countries.
β’ Establish and advance the technical roadmap aimed at innovating statistical programming methodologies, tools, and infrastructure.
β’ Assess, pilot, and implement AI-enhanced tools to enhance programming efficiency, quality, and compliance with regulatory and GDPR standards.
β’ Discover opportunities to transform manual and conventional SAS-based processes into automated, reproducible pipelines utilizing R, Python, or other cutting-edge technologies, including AI solutions.
β’ Design, construct, and sustain reusable tools, macros, packages, and templates that enhance efficiency and consistency across programming outputs.
β’ Lead migration and integration initiatives that modernize or complement traditional SAS workflows with R/Python-based alternatives.
β’ Offer technical leadership and practical guidance in the design, development, and deployment of R Shiny applications.
β’ Establish standards for Shiny app architecture, modularity, performance, and deployment.
β’ Oversee, manage, mentor, and develop team members under your supervision.
β’ Cultivate a culture focused on continuous learning, experimentation, and technical excellence.
β’ Bachelorβs degree or equivalent from an accredited institution in Statistics, Computer Science, Mathematics, Data Science, or a related quantitative discipline, or equivalent experience in a scientific programming field.
β’ A combination of education, training, and experience deemed equivalent will also be considered.
β’ Over 10 years of experience in statistical programming.
β’ Proven expertise in R and SAS within CRO or pharmaceutical settings.
β’ More than 5 years in a technical leadership position.
β’ At least 2 years of supervisory or managerial experience.
β’ Strong proficiency in R for data manipulation, automation, and/or statistical analysis.
β’ Demonstrated hands-on and leadership experience in developing tools, macros, or pipelines that have enhanced efficiency or standardization within a programming function.
β’ Flexibility and balance to support your lifestyle.
β’ Access to innovative technologies.
β’ Opportunities for continuous learning.
β’ Chances to grow and develop your skills.
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