Senior Manager, Biostatistics - Early Phase - REVOLUTION Medicines

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.

Required Skills, Experiene and Education:

• 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. 

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