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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level experience, and metro location but niche CDISC/SAS skillset reduces applicant pool.
Highly domain-specific clinical trial, CDISC and SAS skills limit cross-industry transferability.
Mandatory 4+ years, CDISC/SDTM/ADaM and SAS expertise create stringent shortlisting filters.
Job Description
Structured overview of role & requirementsAbout This Role
Perform hands-on statistical programming for clinical trial data analysis and regulatory submissions using SAS and/or R.
Create and validate complex SDTM, ADaM datasets, tables, listings, and figures for safety and efficacy.
Prepare programming specifications, maintain validation documentation, and collaborate globally including acting as backup for Study Lead Programmer.
Minimum Requirements
Bachelor's degree or higher in biostatistics, statistics, mathematics, computer science, or related quantitative/scientific field.
At least 4 years of statistical programming experience in a clinical development environment.
Working knowledge of CDISC SDTM standards; familiarity with ADaM and Define standards.
Proficiency with SAS/STAT packages and strong data manipulation and reporting skills.
Ideal Candidate Profile
Experienced statistical programmer with demonstrated ability to handle complex datasets and regulatory submission requirements.
Capable of working effectively in a globally dispersed, cross-functional team with multilingual communication skills.
Familiar with clinical trial operations, drug development life cycle, and implementation of CDISC standards in compliance and data quality environment.