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.
ResponsibilitiesCollaborates 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
Skills Required
- Minimum 5 years' industry experience (Pharma, Biotech, CRO)
- Experience with R within regulated clinical development environments
- Strong R data manipulation and analysis skills using tidyverse packages
- Strong R visualization skills for static outputs and dashboards
- Experience developing R packages including documentation and testing
- Experience developing SAS code including SAS/MACRO
- Familiarity with Posit products including Workbench, Positron, and Connect
- High attention to detail and ability to manage multiple, competing priorities
- Familiarity with drug development lifecycle and clinical trial data manipulation, analysis, and reporting
- Ability to work effectively in a globally dispersed team with cross-cultural partners
Cytel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cytel and has not been reviewed or approved by Cytel.
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Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, life and disability, with FSAs/HSAs also available. Plan quality is often characterized as good to excellent, which lifts the perceived value of the overall package.
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Retirement Support — A 401(k) with employer match is consistently part of the benefits package. The plan is also characterized as well managed, contributing to a sense of baseline retirement support.
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Fair & Transparent Compensation — Overall pay is characterized as decent-to-good and broadly competitive in parts of the business, with stronger alignment noted in senior technical tracks like biostatistics and programming. The total package is often framed as respectable rather than premium.
Cytel Insights
What We Do
Cytel enables decision-makers in the life sciences to unlock the full potential of their products. From navigating uncertainty to proving value, Cytel’s 30 years of global expertise in consulting, data-driven analytics, and industry-leading software helps biotech and pharmaceutical companies transform intelligence into confident decisions. We have an uncompromising commitment to scientific rigor and high standards of operational excellence, which are channeled through our locations in North America, Europe, the United Kingdom, and Asia. Together, we enable our clients to deliver the therapies that propel humanity forward. Cytel employs a range of data science tools from biostatistics to machine learning to help executives in the life-sciences to make confident decisions powered by data. We are probably best known for being leaders in the field of adaptive clinical trial design, a subset of trial design that uses interim looks to enhance the patient safety and commercial value of pharmaceutical products. We also have specialists in Bayesian statistics, real world evidence, artificial intelligence, health economics, and a number of other research fields to ensure that academic and scientific findings can have impact on industry quickly and seamlessly. www.cytel.com
