Overview 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 The Opportunity: In this entry-level role, you will work within our Translational Medicine group supporting the computational workflows for the analysis, interpretation, and visualization of biomarker data from our clinical trial samples. In particular, you will perform rigorous quality control checks to confirm the accuracy and integrity of data throughout the entirety of the analysis pipeline. This position requires extensive collaboration with biomarker scientists and other computational biologists. Required Skills, Experience and Education Master’s or bachelor’s degree in bioinformatics, molecular biology, genetics, or a related field. Experience with R and/or Python for the analysis of NGS data (e.g. RNA-sequencing). Familiarity with genetics and/or cancer biology. Strong attention to detail and a proactive approach to identifying and resolving errors. Demonstrated eagerness to learn new concepts in a fast-paced environment. Highly collaborative team member. Preferred Skills Experience with bash/command-line tools in a Unix/Linux environment. Familiarity with version control systems like Git/Github. This is a contract position that will be employed through a third-party recruiting agency. The agency will provide the pay range, which will be based on several factors, including job-related skills, experience, market conditions, and relevant education or training. 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. Revolution Medicines takes the protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCAP Notice and Privacy Policy. For additional information, please contact privacy@revmed.com.
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