Senior R Statistical Programmer

Cytel; Providence (RI); On-site; USD 120,000 - 160,000; Full time

Job summary

Cytel is seeking an R Technical Solutions Programmer to implement data and analysis infrastructure for the data flow from collection to submission in clinical trials. You will leverage R to enable an open-source ecosystem for programming and coordinate requirements with cross-functional teams.

The role focuses on robust R code, package development with documentation and testing, and promoting innovation in data analysis and visualization within regulated environments.

Qualifications

• 5+ years in pharma/biotech/CRO.
• Experience with R in regulated clinical development environments.
• Strong data manipulation with tidyverse.
• Experience developing R packages with documentation and testing.
• Familiarity with SAS/MACRO preferred.
• Knowledge of drug development life cycle.

Responsibilities

• Implements data and analysis infrastructure for data flow from collection to submission.
• Collaborates with internal teams to develop processes, tools and utilities to improve quality and efficiency.
• Develops reusable and robust R package code and documentation.
• Promotes technical innovation for data analysis and visualization in clinical data environments.
• Partners with study teams to use and improve processes and tools.
• Facilitates change management activities and training for department systems and processes.

Skills

R programming

Data analysis

Data visualization

Package development

Documentation & training

Cross-functional collaboration

Attention to detail

Tools

SAS

Posit Workbench

Posit Connect

Job 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.

• Collaborates with internal teams to understand requirements and develop processes, tools and utilities that will improve quality and efficiency

• Develops reusable and robust R package code and/or utilities, along with detailed training/documentation

• Promotes technical innovation to drive the development of data analysis and visualization solutions within a clinical data environment

• Partners with study teams in use and further improvement of processes and tools

• Facilitates change management activities and training for department systems and processes

• Minimum 5 years’ industry experience (Pharma, Biotech, CRO)

• Experience with R within regulated clinical development environments

• Strong R data manipulation and analysis skills using standard tidyverse packages

• Strong R visualization skills for use in static outputs and dashboards

• Experience with developing R packages including proper documentation and testing

• Experience developing SAS code including SAS/MACRO preferred

• Familiarity with Posit products including Workbench, Positron, and Connect

• High attention to detail including proven ability to manage multiple, competing priorities

• Familiarity with drug development life cycle and experience with manipulation, analysis, and reporting of clinical trials’ data

• Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners

Cytel Inc. is an Equal Employment / Affinity Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.