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Niche clinical R/CDISC expertise reduces applicant density despite moderate brand, so competition is low.
CDISC and regulated clinical trial requirements create strong domain bias, reducing transferability.
Multiple mandatory technical and regulated-delivery skills increase filtering, but no explicit years requirement.
Lead development of R-based automation and AI tools to improve clinical trial workflows for a global pharmaceutical client.
Collaborate with statisticians, programmers, and AI leads to create proof-of-concept tools and mature prototypes into reusable, documented, and regulation-compliant solutions.
Present technical and non-technical insights to stakeholders ensuring solutions meet regulated clinical development standards.
Strong R programming skills demonstrated by building automation tools, R packages, or Shiny applications.
Familiarity with clinical trial data and CDISC standards mandatory.
Experience with regulated delivery processes including validation, audit trail, traceability, version control, documentation, and testing.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in developing automation and AI solutions specifically for clinical trial environments under regulated settings.
Comfortable leveraging LLM-supported coding and advanced programming to enhance workflow automation and documentation.
Able to operate autonomously within a sponsor-embedded role providing technical leadership and stakeholder communication.