Back
Tier-1 brand and Bangalore metro increase visibility, but niche SAS/CDISC specialization limits applicant density.
Strong clinical trials and CDISC focus makes experience less transferable outside life sciences.
Explicit 5+ years plus mandatory SAS, CDISC and clinical/regulatory experience makes screening highly selective.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Provide statistical programming support for analysis and reporting at project/study level within Oncology Biometrics Programming.
Lead or work concurrently on multiple clinical study reports, regulatory submissions, and commercialization data programming tasks.
Ensure compliance with technical and regulatory programming standards, including CDISC, to support drug development decision-making.
Bachelor's or Master’s degree in Mathematics, Statistics, Computer Science, Life or Social Sciences, or related field.
At least 3 years of industry experience if Master’s degree holder or 5+ years if Bachelor’s degree holder.
Extensive advanced SAS programming expertise in clinical drug development context.
Knowledge of technical/regulatory programming requirements and CDISC standards.
Experienced in leading clinical trial studies or programming activities, preferably in Oncology therapeutic area and regulatory submissions.
Able to independently manage multiple concurrent programming tasks with attention to detail.
Capable of stakeholder management within a global, cross-functional clinical development environment.