Principal Scientist, Stat. Programming- Early Oncology Development (Hybrid)
Core
Strategic statistical programming for early-stage oncology drug development, creating custom algorithms and standards to support exploratory analyses and regulatory submissions.
Role type
Principal Scientist, Statistical Programming (Early Oncology)
Builds
Custom statistical programming deliverables (datasets, analyses, tables, graphics) for early oncology clinical trials
Domain
Pharmaceutical R&D, Oncology Clinical Trials, Biostatistics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SAS/R programming, CDISC/ADaM standards, complex data preprocessing, statistical algorithm design, clinical trial programming, project management, regulatory submission experience
Preferred skills
Early oncology development experience, process improvement methodologies, Microsoft Project, PK/PD modeling, Python/R programming
Technologies
SAS, R, Python, Microsoft Project
Responsibilities
Provide technical consultation for exploratory statistical analyses; develop programming standards and best practices; design complex programming algorithms for non-standard data; lead strategic initiative project teams; ensure quality and compliance of statistical deliverables
Seniority
Principal, strategy & mentorship
