2 дня назад
Director, Statistical Programming Innovation & Technology (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Statistical Programming Innovation & Technology (AI): Defining and driving the technical roadmap for modernizing statistical programming across biotech, medtech, and pharmaceutical environments with an accent on R, SAS, automation, and AI-assisted tools. Focus on building reproducible pipelines, migrating legacy workflows, designing R Shiny applications, and leading technical teams.
Location: United Kingdom
Company
supports biotech, medtech, and specialty pharmaceutical companies in developing medicines, devices, and diagnostics.
What you will do
- Define and drive the technical roadmap for innovative statistical programming practices, tools, and infrastructure.
- Evaluate, pilot, and implement AI-assisted tools to improve programming efficiency, quality, regulatory compliance, and GDPR compliance.
- Replace manual and traditional SAS-based processes with automated, reproducible pipelines using R, Python, and emerging technologies.
- Design, build, and maintain reusable tools, macros, packages, and templates.
- Lead modernization and integration of SAS workflows with R- and Python-based solutions.
- Provide technical direction for R Shiny applications and supervise, mentor, and develop direct reports.
Requirements
- Bachelor’s degree or equivalent experience in Statistics, Computer Science, Mathematics, Data Science, or a related quantitative field.
- 10+ years of statistical programming experience, including expertise in R and SAS within CRO or pharmaceutical environments.
- 5+ years in a technical leadership role.
- 2+ years of supervisory or management experience.
- Strong proficiency in R for data manipulation, automation, and statistical analysis.
- Hands-on experience building tools, macros, or pipelines that improve efficiency or standardization.
Culture & Benefits
- Opportunities for professional growth, skills development, and career advancement.
- Flexibility and balance to support personal and professional needs.
- Culture of continuous learning, experimentation, and technical excellence.
- Team members are encouraged to influence working practices and contribute ideas.
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