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 scientists/professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway. The Opportunity: As a key member of a cross-functional Translational Sciences Team, you will report to Senior Director and Head of Translational Sciences within Translational Research and will: Lead a team of preclinical scientists to conduct forward and reverse translational research for our portfolio of RAS(ON) inhibitors. Collaborate with members of Biology, Clinical and Translational Medicine to generate and/or interrogate internal and external clinical and/or preclinical data sets and identify candidate biomarkers of response and resistance. Use insights to inform clinical development strategies, including patient selection and combinations. Collaborate with TM and clinical colleagues to implement candidate biomarkers into Translational Biomarker plans for RVMD RAS(ON) inhibitors in alignment with overarching clinical development strategies. Evolve technical competencies of biomarker sciences group, identify and validate new technologies and/or capabilities. Accelerate integration of mining of large scale preclinical and clinical datasets into our translational research strategies and, in association with broader digital data transformation initiatives within Research, drive the organization and harmonization of large biomarker datasets. Key Responsibilities: Implement translational research strategies for RAS-driven diseases . Identify and validate candidate biomarkers. Collaborate with colleagues in Translational Medicine and Clinical Development to drive transition of these candidate biomarkers to Translational Biomarker Plan implementation in RevMed trials. Supervise a team of Translational Scientists and biologists and deploy team resources across RevMed projects. Leverage strong cross-functional skills and engage in collaborative leadership across forums, project teams and working groups, performing forward and reverse translation efforts, exploring mechanisms of resistance and testing therapeutic and combination strategies. Drive efforts to organize and harmonize large biomarker data sets across Translational Research, as part of a digital data transformation initiative. Accelerate integration of mining of large scale preclinical and clinical datasets into our translational research strategy. Engage with external collaborations including academic center and CROs to drive execution of key projects and bring in new technologies. Required Skills, Experience, and Education: PhD in molecular oncology or equivalent training and background in the principles of oncology. 7+ years of experience in oncology drug discovery in a life sciences environment. Proven leadership of cross-functional research efforts and experience working at the interface between discovery and development within the oncology field is essential. Strong strategic management/coordination skills, with the ability to develop project roadmaps, manage timelines, and align key stakeholders across departments. Computational biology skills and/or experience with large data mining; familiarity with life science software platforms (e.g. Benchling), cloud-based storage, integration, and compute infrastructures. Exceptional communication, collaboration, and leadership abilities, particularly in tackling complex projects involving diverse scientific, technical, and leadership teams. Ability to work in a high-energy, fast-paced, rapidly evolving and scaling company, operating in a highly competitive field. Preferred Skills: Small molecule drug development skills and Translational Research and/or Development background are a plus. Experience coordinating the curation, ingestion, and harmonization of legacy scientific data across internal, external, public, and licensed data sources. The base salary range for this full-time position is $204,000 to $255,000 for candidates working onsite at our headquarters in Redwood City, CA. The range displayed on each job posting is intended to be the salary for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our salary ranges are determined by role, level, and location. Individual pay is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training. Please note that base salary is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities. Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status. #J-18808-Ljbffr Revolution Medicines
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