Back
Tier-1 pharma brand, metro location, and mid-level title increase applicant density despite clinical programming niche.
Strong pharma-specific CDISC, SAS, and regulatory requirements limit cross-industry transferability.
Explicit years, advanced SAS/CDISC requirements, and regulatory submission experience make filters stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and provide statistical programming support for oncology clinical studies, including analysis, reporting, and regulatory submissions.
Manage programming aspects of clinical development projects, ensuring compliance with technical and regulatory standards.
Collaborate with global teams and stakeholders to deliver high-quality statistical programming outputs for drug development and commercialization.
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 with a Master's degree or 5+ years with a Bachelor's degree.
Advanced SAS programming skills with deep understanding of clinical drug development requirements.
Knowledge of CDISC standards and regulatory requirements relevant to pharmaceutical programming.
Experienced in leading studies or activities in clinical trials, preferably within Oncology therapeutic area.
Capable of multitasking and managing concurrent study programming tasks independently.
Strong stakeholder management skills and experience supporting regulatory submissions in a pharma environment.