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 Revolutionariesin a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.
The Opportunity
Playing a critical role as a lead statistician for clinical program(s) and studies and the subject matter expert (SME) in Biostatistics within Quantitative Sciences function, this position is to provide statistical leadership and support for clinical development strategy and clinical studies through product life cycle. Provide statistical support and strategic input to clinical development plans and target product profiles, proof of concept criteria, and team’s preparation for company governance reviews. Represent Biostatistics function on cross-function teams at program level and serve as a lead statistician for oncology studies. Collaborate with various functions on study design and planning, protocol development, statistical analysis plan and analysis specifications. Provide statistical support for study protocol development, analysis plan and specification through direct involvement and/or providing guidance to junior staff. Plan and prepare independent data monitoring committee (DMC), coordinate with independent statistical data analysis center for DMC and study team for periodic DMC reviews. Collaborate with data management and clinical operations over the course of clinical studies to provide statistical input to study conducts and database development as well as data collection and cleaning activities. Collaborate with statistical programming to ensure that appropriate programs and documentations are being developed for datasets development and outputs generation, and ensure the statistical analyses specified in scientific protocols and/or analysis plans are conducted appropriately. Provide statistical input and leadership to the development of global health authority documents, regulatory interaction and response to health authority submissions. Provide statistical support for clinical publications, assist in data interpretation to ensure consistency and accuracy in data presentation. Drive and lead department initiatives, best practices, and guidelines. 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
Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 8 years (for Ph.D.) and 12 years (for M.S.) of experience in the biotech/pharma industry as a statistician. Level will be determined based on the relevance of experience. Hands-on experience in design and analysis of oncology trials is a must. Ability to work independently and within a team. Solid knowledge in ICH and other regulatory requirements related to biostatistical activities and clinical trials. Excellent verbal and written communication skills are required. Good interpersonal and project management skills are essential. Proficiency in SAS and/or R. Preferred Skills
Active participation in NDA/BLA filing through label negotiations desirable.
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Playing a critical role as a lead statistician for clinical program(s) and studies and the subject matter expert (SME) in Biostatistics within Quantitative Sciences function, this position is to provide statistical leadership and support for clinical development strategy and clinical studies through product life cycle. Provide statistical support and strategic input to clinical development plans and target product profiles, proof of concept criteria, and team’s preparation for company governance reviews. Represent Biostatistics function on cross-function teams at program level and serve as a lead statistician for oncology studies. Collaborate with various functions on study design and planning, protocol development, statistical analysis plan and analysis specifications. Provide statistical support for study protocol development, analysis plan and specification through direct involvement and/or providing guidance to junior staff. Plan and prepare independent data monitoring committee (DMC), coordinate with independent statistical data analysis center for DMC and study team for periodic DMC reviews. Collaborate with data management and clinical operations over the course of clinical studies to provide statistical input to study conducts and database development as well as data collection and cleaning activities. Collaborate with statistical programming to ensure that appropriate programs and documentations are being developed for datasets development and outputs generation, and ensure the statistical analyses specified in scientific protocols and/or analysis plans are conducted appropriately. Provide statistical input and leadership to the development of global health authority documents, regulatory interaction and response to health authority submissions. Provide statistical support for clinical publications, assist in data interpretation to ensure consistency and accuracy in data presentation. Drive and lead department initiatives, best practices, and guidelines. 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
Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 8 years (for Ph.D.) and 12 years (for M.S.) of experience in the biotech/pharma industry as a statistician. Level will be determined based on the relevance of experience. Hands-on experience in design and analysis of oncology trials is a must. Ability to work independently and within a team. Solid knowledge in ICH and other regulatory requirements related to biostatistical activities and clinical trials. Excellent verbal and written communication skills are required. Good interpersonal and project management skills are essential. Proficiency in SAS and/or R. Preferred Skills
Active participation in NDA/BLA filing through label negotiations desirable.
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