About The Role

Who Are You?

An experienced R/AI Developer with a passion for clinical development and analysis, adept at utilizing advanced programming and data science methods, you will lead development activities to improve clinical studies. You are excited and enthusiastic, motivate your teams to do great work and collaborate easily with your clients. You never settle for what is, but always push clinical development forward to what it could be. You motivate others to do the same.

Sponsor-dedicated

Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Developer, you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program.

Position Overview

Our R Automation and AI Solutions Developers provide analysis and automation support and influence for the associated client's trials. This role involves working closely with statisticians, programmers, data scientists and AI/Automation leads to identify practical workflow improvement opportunities, provide proof-of-concept tools, and mature successful prototypes into documented, reusable, and maintainable solutions.

As an R Automation and AI Solutions Developer, your responsibilities will include

Interpret user requirements and identify practical workflow improvements.
Define sensible scope for request.
Build proof-of-concept tool.
Utilize LLM-supported coding, R/Shiny tools.
Create testing and documentation.
Ensure that mature prototype aligns with regulated clinical development expectations.
Present to technical and non-technical audiences.

Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have:

Strong R programmer.
Comfortable with clinical trial data and CDISC concepts.
Experience building automation tools, R packages, R Shiny applications and dashboards, or reusable internal utilities.
Understands regulated delivery: validation, audit trail, traceability, version control, documentation, testing.
Understands Git, code review, unit testing, CI/CD concepts.
Experience using LLMs for coding, summarization, extraction, documentation, review, or workflow automation.