Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company’s R&D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins. The company’s RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. As a new member of the Revolution Medicines team, you will join other outstanding professionals 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.
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Collaborate with various functions on study design and planning, protocol development, statistical methodology and analysis.
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Develop statistical analysis plans and analysis specifications.
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Collaborate with statistical programming to ensure that analysis is conducted per statistical plan and specifications.
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Collaborate with data management and clinical operations to ensure robust CRF and database development and quality data collection.
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Provide statistical input to regulatory interaction and response to health authority submissions.
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Contribute to the development of functional-level standards, SOPs, and templates.
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Keep abreast in new developments in statistics, drug development, and regulatory guidance and share knowledge with functional and cross-functional team members.
Required Skills, Experience and Education:
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Hands-on experience in design and analysis of oncology trials is a must.
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Ability to work independently and within a team.
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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.).
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Excellent verbal and written communication skills are required.
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Good interpersonal and project management skills are essential.
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Proficiency in SAS and/or R.
#LI-Hybrid #LI-EM1
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