Senior R Statistical Programmer

Cytel; United States; On-site; USD 110,000 - 170,000; Full time

Job summary

Cytel is seeking an R Technical Solutions Programmer in the United States to design and implement data and analysis infrastructure supporting data from collection to submission. You will apply R programming expertise to enable an open-source ecosystem for programming and coordinate requirements for scalable, fit-for-purpose solutions.

The role collaborates with global teams to advance data analysis and visualization within regulated clinical environments, developing robust R packages and

Qualifications

• Minimum 5 years’ industry experience in Pharma/Biotech/CRO.
• Proficient in R within regulated clinical development environments.
• Strong R data manipulation and analysis skills using standard tidyverse packages.
• Strong R visualization skills for static outputs and dashboards.
• Experience developing R packages including documentation and testing.
• Familiarity with SAS/MACRO is a plus.
• Familiarity with drug development life cycle and clinical trials’ data.

Responsibilities

• 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.

Skills

R programming

tidyverse

data visualization

R package development

SAS macros

Tools

Posit Workbench

Positron

Connect

Job description

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.

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.

Responsibilities

• 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

Qualifications

• 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