Clinical Data Scientist

This is a fully remote position, open to applicants in United Kingdom, +7 more countries.

📋 Description

• Design, develop, and maintain R Shiny applications for the monitoring of clinical studies, data visualization, safety assessments, and exploratory analyses.

• Create modular, scalable, and thoroughly documented R code in accordance with industry best practices.

• Build interactive dashboards, visualizations, and customized analytical tools for cross-functional teams.

• Enhance the performance, security, and user-friendliness of Shiny applications for use in regulated environments.

• Ensure that all deliverables adhere to CDISC standards, regulatory guidelines, and internal standard operating procedures (SOPs).

• Serve as a subject matter expert on R and R Shiny within the team.

• Mentor junior programmers and engage in knowledge-sharing initiatives.

• Attend study meetings to provide technical insights and programming expertise.

• Shape best practices, pipelines, and automation strategies aimed at modernizing statistical workflows.

• Collaborate with statisticians, data managers, clinical programmers, and project leads to design, develop, and maintain R-based solutions that support study monitoring, data review, and analytical insight generation.

⛳️ Requirements

• A minimum of 5 years of experience as a Statistical Programmer in the pharmaceutical, biotech, or CRO sectors.

• Proficient clinical data experience, including CDISC (SDTM & ADaM) and the production of TLFs.

• Experience with R Shiny, encompassing end-to-end application development, UI/UX design, dashboard visualizations (using ggplot2/plotly), performance optimization, and debugging.

• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or a related field.

• Familiarity with Python, SAS, or other analytical tools.

• Knowledge of pharmacovigilance or safety review processes.

• Experience working with Real World Evidence data.

• Proven experience in deploying R Shiny applications (Shiny Server, Posit Connect, etc.).

• Exposure to automation, data engineering, or cloud computing environments.

• Legal eligibility to work in the country where the position is located.

🏝️ Benefits

• A competitive salary and comprehensive benefits package.

• Opportunities for career development and access to advanced tools and training.

• Competitive base salary along with performance-related incentives.

• Health and wellness programs, including medical, dental, and vision coverage where applicable.

• Retirement and pension plans.

• Life assurance and disability coverage.

• Employee assistance programs and wellness resources.

• Opportunities for learning and development through structured training and career pathways.