Computational Clinical Scientist II

13 hours ago

Redwood City, California, United States REVOLUTION Medicines Full time
Revolution Medicines: A Pioneer in Precision Oncology

Revolution Medicines is a clinical-stage precision oncology company dedicated to developing innovative targeted therapies for RAS-addicted cancers. Our mission is to revolutionize cancer treatment by harnessing the power of precision medicine.

The Opportunity

We are seeking a highly skilled Computational Clinical Scientist II to join our Translational Medicine team. As a key member of our team, you will play a crucial role in analyzing and interpreting molecular and clinical data to identify and validate predictive biomarkers for our RAS(ON) Inhibitors.

Key Responsibilities
  • Integrate multiple data sources, including circulating tumor DNA, patient enrollment data, and molecular profiling, to identify and validate new biomarkers for candidate drugs.
  • Collaborate with internal groups, contract research organizations, and collaborators to deliver validated biomarker data and analysis.
  • Support the development of biomarker-related aspects of trial design, including study protocols, lab manuals, clinical study reports, and regulatory documents.
  • Work with biomarker scientists to analyze and visualize biomarker readouts, including summary statistics and efficacy in molecular subgroups.
  • Collaborate with preclinical bioinformaticians to design, analyze, and interpret experiments to validate biomarkers, understand compound mechanism of action, and identify biomarkers for patient selection and target engagement.
Requirements
  • MS or Ph.D. in bioinformatics, biology, data science, or a related field with emphasis on biological data analysis.
  • 2+ years of pharmaceutical or biotech experience in bioinformatics focused on oncology, immunology, or related fields.
  • Proficiency in programming languages such as R and/or Python.
  • Proficiency in statistical models and analysis of clinical data, with some experience in machine learning a strong plus.
  • Experience with visualizations and faceting of molecular data, including oncoplots, heatmaps, PCA, and other relevant techniques.
  • Experience with efficacy, baseline demographic, and other outcome data generated in a clinical trial.
  • Experience with statistical methods, including survival analysis and causal inference.
  • Expertise in bioinformatic analysis of cancer signaling pathways and driver mutations.
  • Experience with tools to analyze cancer genomics data types, including RNA, WES, ctDNA, and common tool outputs, such as GATK, Salmon, OncoKB, VEP, and others.
Preferred Skills
  • Development experience with professional software development systems and methods, including IDEs, ticketing systems, version control systems.
  • Familiarity with large public/private genomic data sets, such as GDC and TCGA.
  • Familiarity with clusters, containers, and cloud computing infrastructure for data processing, analysis, and storage.
What We Offer

Revolution Medicines offers a competitive salary range of $120,000 to $158,000 for candidates based at our headquarters in Redwood City, CA. 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.

Revolution Medicines takes 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 CCPA Notice and Privacy Policy.

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