Principal Biostatistician FSP - Translational Medicine
Core
Lead early development clinical studies and provide statistical expertise for translational medicine and clinical oncology projects across drug development stages.
Role type
Principal Biostatistician (Translational Medicine/Oncology)
Builds
Integrated analytical approaches, statistical analysis plans, and actionable insights for oncology drug development.
Domain
Pharmaceutical research, clinical oncology, translational medicine
Deliverable
production ML models
Required skills
Biostatistics, clinical trial design, biomarker analysis, statistical programming (R, SAS, Python), survival analysis, regression modeling, hypothesis testing, data visualization
Preferred skills
Machine learning, deep learning, precision medicine approaches, patient stratification, subgroup analysis
Technologies
R, SAS, Python
Responsibilities
Develop statistical analysis plans (SAPs) and methodologies for translational research and clinical oncology studies; Design and analyze biomarker-driven studies (exploratory, predictive, prognostic, pharmacodynamic, pharmacogenomic); Support early-phase oncology clinical trials (Phase I/II, dose-escalation, proof-of-concept); Perform statistical analyses of clinical, molecular, genomic, and proteomic datasets; Collaborate with scientists to define endpoints and establish statistical approaches; Interpret results and communicate findings via reports, presentations, and publications; Ensure deliverables meet regulatory and quality standards.
Seniority
Principal, hands-on IC with team motivation and client collaboration