Job Category: R Statistical ProgrammingJob Description:The R Technical Solutions Programmer is responsible for implementing the vision for data and analysis infrastructure platforms and other technical solutions to support the data flow from data collection to data submission. Using expertise in R programming and clinical trials to create solutions that will enable an open-source ecosystem for programming. This role will coordinate gathering and prioritizing requirements in the process of design and delivery of fit-for-purpose data and analysis technical solutions.Responsibilities:Collaborates with internal teams to understand requirements and develop processes, tools and utilities that will improve quality and efficiencyDevelops reusable and robust R package code and/or utilities, along with detailed training/documentationPromotes technical innovation to drive the development of data analysis and visualization solutions within a clinical data environmentPartners with study teams in use and further improvement of processes and toolsFacilitates change management activities and training for department systems and processesQualifications:Minimum 5 years' industry experience (Pharma, Biotech, CRO)Experience with R within regulated clinical development environmentsStrong R data manipulation and analysis skills using standard tidyverse packagesStrong R visualization skills for use in static outputs and dashboardsExperience with developing R packages including proper documentation and testingExperience developing SAS code including SAS/MACRO preferredFamiliarity with Posit products including Workbench, Positron, and ConnectHigh attention to detail including proven ability to manage multiple, competing prioritiesFamiliarity with drug development life cycle and experience with manipulation, analysis, and reporting of clinical trials' dataAbility to work effectively and successfully in a globally dispersed team environment with cross-cultural partners

Cytel