





Tier-1 brand and Bangalore location increase competition, niche senior statistical programming reduces it.
Clinical statistical programming for regulatory submissions requires highly domain-specific pharma and CDISC skills.
Explicit 10+ years and mandatory advanced SAS/CDISC/regulatory experience create a high shortlisting bar.
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Lead and manage statistical programming activities at project/study level within Oncology Biometrics Programming department.
Oversee planning, execution, and delivery of programming for clinical study reports, regulatory submissions, commercialization, and scientific data utilization.
Report to Director of Statistical Programming and contribute to clinical development impacting drug development processes and regulatory interactions.
At least 10 years of industry experience.
Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Life or Social Sciences, or related field.
Extensive advanced SAS programming expertise in clinical drug development.
Working location is Manyata Tech Park, Bangalore with a hybrid working model (minimum three days per week from the office).
Experienced leader capable of managing multiple concurrent clinical programming projects in a regulated pharmaceutical environment.
Strong understanding of technical, regulatory requirements and CDISC standards within clinical drug development.
Ability to work collaboratively in a global team and influence stakeholders effectively.