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Tier-1 pharma brand and Bangalore metro increase applicants, but niche clinical SAS/ADaM skills moderate competition.
Strong clinical trial, SDTM/ADaM and regulatory requirements make cross-industry transferability limited.
Explicit 2–3 years plus mandatory SAS/ADaM and regulatory clinical programming skills enforce stringent filtering.
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Own and manage critical statistical programming deliverables like SDTM, ADaM datasets, annotated CRFs, and TFLs for clinical trials ensuring regulatory compliance.
Support trial setup activities including eCRF development, metadata specifications, Define.xml, and creation of various clinical study reports and safety update reports.
Collaborate with CROs, regulatory authorities, and internal teams to ensure seamless execution of clinical development programs while contributing to process optimization and training.
Bachelor's or Master's degree in life sciences, natural sciences, engineering, or equivalent.
2-3 years of statistical programming experience, preferably with biological data or clinical trials.
Proficiency in SAS or R programming languages and experience with clinical database technologies and data models.
Fluency in English and ability to communicate complex technical issues effectively with stakeholders across multinational environments.
Experience operating within multinational clinical trial environments with cross-functional interactions between internal and external partners.
Technical expertise in statistical programming for clinical trial submissions supporting regulatory standards (GCP, GDP, GPP).
Ability to independently manage multiple programming and data management tasks throughout clinical trial lifecycles with high accountability and quality focus.