Senior Manager, Biostatistics - Early Phase

Revolution Medicines•Redwood City, CA

1d•Onsite

About The Position

Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. The company’s R&D pipeline comprises RAS(ON) Inhibitors designed to suppress diverse oncogenic variants of RAS proteins, and RAS Companion Inhibitors for use in combination treatment strategies. As a new member of the Revolution Medicines team, you will join other outstanding Revolutionaries in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway. The Opportunity: This position is to serve as a study level statistician for oncology studies, and to coordinate activities with other functional groups to ensure timely deliverables. Represent biostatistics on study/project teams. Provide statistical expertise for design, analysis and reporting of clinical studies. Collaborate with various functions on study design and planning, protocol development, statistical methodology and analysis. Develop statistical analysis plans and analysis specifications. Collaborate with statistical programming to ensure that analysis is conducted per statistical plan and specifications. Collaborate with data management and clinical operations to ensure robust CRF and database development and quality data collection. Collaborate in publications, assist in data interpretation, and ensure consistency and accuracy in data presentation. Keep abreast in new developments in statistics, drug development, and regulatory guidance and share knowledge with functional and cross-functional team members.

Requirements

Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 3 years (for Ph.D.) and 6 years (for M.S.) of experience in biotech/pharma industry as a statistician
Hands-on experience in design and analysis of oncology trials is a must
Ability to apply statistical knowledge to solve real-world problems and acquire new knowledge in advanced statistical methods (e.g., Bayesian methods, predictive modeling etc.)
Excellent verbal and written communication skills are required
Good interpersonal and project management skills are essential
Proficiency in SAS and/or R

Responsibilities

Serve as a study level statistician for oncology studies
Coordinate activities with other functional groups to ensure timely deliverables
Represent biostatistics on study/project teams
Provide statistical expertise for design, analysis and reporting of clinical studies
Collaborate with various functions on study design and planning, protocol development, statistical methodology and analysis
Develop statistical analysis plans and analysis specifications
Collaborate with statistical programming to ensure that analysis is conducted per statistical plan and specifications
Collaborate with data management and clinical operations to ensure robust CRF and database development and quality data collection
Collaborate in publications, assist in data interpretation, and ensure consistency and accuracy in data presentation
Keep abreast in new developments in statistics, drug development, and regulatory guidance and share knowledge with functional and cross-functional team members