Associate Director, Biostatistics – Early Phase

Revolution Medicines•Redwood City, CA

6h•Onsite

About The Position

Revolution Medicines is a late-stage clinical oncology company focused on developing novel targeted therapies for patients with RAS-addicted cancers. Their R&D pipeline includes several RAS(ON) inhibitors currently in clinical development. This position involves joining the Revolution Medicines team to contribute to the commitment to patients with cancers harboring mutations in the RAS signaling pathway. The role serves as a study level statistician for oncology studies, coordinating activities with other functional groups to ensure timely deliverables.

Requirements

Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 5 years (for Ph.D.) and 8 years (for M.S.) of experience in biotech/pharma industry as a statistician for clinical trials.
Hands-on experience in design and analysis of oncology trials is a must.
Ability to work independently and within a team.
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

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.
Provide statistical input to regulatory interaction and response to health authority submissions.
Collaborate in publications, assist in data interpretation, and ensure consistency and accuracy in data presentation.
Contribute to the development of functional-level standards, SOPs, and templates.
Keep abreast in new developments in statistics, drug development, and regulatory guidance and share knowledge with functional and cross-functional team members.