Senior Statistical Programmer I
AstraZeneca · Bangalore, India · Global
Clinical Data Science
Hybrid
Not yet analysed
Demand82
Career growth76
Healthcare fit48
Remote potential65
5-year outlook
Senior statistical programmers in large pharma are typically well compensated and see steady progression toward principal programmer, biostatistics, or programming lead roles. Compensation tends to be competitive with strong benefits, though exact figures vary by location and experience.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
full-time
Date found
2026-09-28
Intelligence details
Flexible work details
- Engagement type
- Permanent
- Hours
- Full-time
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth considering only if you already have strong SAS programming and clinical trial data experience; it is not a realistic entry point for most clinicians without a quantitative/programming background. Clinicians with biostatistics, informatics, or data science training could use it as a pharma-side career step.
Who should apply
Physicians, pharmacists, or healthcare graduates with formal biostatistics, statistics, computer science, or clinical data science training and prior SAS/CDISC experience in pharma, CRO, or academic clinical research settings.
CV angle
Reframe real clinical research, data analysis, and regulatory exposure: highlight any SAS/R programming, CDISC (SDTM/ADaM) familiarity, clinical study reporting, oncology trial involvement, and cross-functional stakeholder coordination. Emphasize quantitative coursework, publication/data analysis contributions, and any submission-supporting work — without overstating programming proficiency.
Skills to highlight
- SAS programming
- CDISC (SDTM/ADaM) standards
- Clinical trial data analysis and reporting
- Regulatory submission support
- Oncology therapeutic area knowledge
- Stakeholder management
- Statistical analysis
- Multitasking across concurrent studies
Role summary
A senior statistical programming role in AstraZeneca's Oncology Biometrics Programming group, delivering SAS-based analysis and reporting for clinical studies, regulatory submissions, and commercialization, with lead responsibilities across concurrent studies.
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