Principal Scientist, Genetic Pharmacology, Translational Research

Key Skills

Data Analysis, Data management, Effective communication skills, Genetics, Pandas, Python Programming, R Programming, Statistics

Job Description

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 in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.

The Opportunity:

• Be a member and critical contributor to a new genetic pharmacology group within Translational Research (part of the larger Biology group), focused on molecular biology/cancer genetics and computational biology analyses of genetically engineered mouse model (GEMM)-based studies. The position will report to a Director-level head of this group.
• Build data management systems and infrastructure needed in a cross-functional collaboration with Information Sciences team to manage data storage, organization, and sharing capabilities across teams.
• Establish a cross-functional group and work closely with the Bioinformatics team to build analysis pipelines and algorithms for quality control, analysis, and meta-analysis of various data types (tabular data, genomic sequencing data, transcriptomic sequencing data, and others as developed).
• Prototype novel data analysis and visualization approaches to support rapid experimental iteration.
• Analyze, visualize, interpret, and communicate experimental data from GEMM experiments and contribute to experimental design that furthers the models.
• Explore drug-genotype biomarkers using statistical methods.
• Generate new hypotheses and insights from data analysis, working closely with the Genetic Pharmacology, Bio-informatics teams as well as the larger Biology group.
• Identify critical dimensions of assay development and performance to derive informative metrics and visualizations that allow these to be monitored.
• Monitor data quality, identify data quality gaps, and drive improvements to data resolution - including improvements to wet lab processes.
• Present results at internal meetings and scientific conferences.
• Document code, analyses, and results to allow for reproducible results and clear coordination across teams.
• Maintain knowledge of relevant scientific literature and the broader field and identify and evaluate new methods or improvements.
• The post-holder may be required to manage or supervise other scientific or technical personnel.

Required Experience, Skills, and Education:

• A Ph.D. in molecular and/or computational biology or a related field with 8+ years of postdoctoral or relevant industry experience in computational biology methods.
• Expert-level knowledge of contemporary statistical methods and computational analysis of next-generation sequencing data.
• Scientific programming in Python, Pandas, R, or similar languages.
• An understanding of the cancer biology and genetics of solid tumors.
• Strong track record of research productivity as evidenced by high-quality, impactful publications.

• A rigorous, quantitative, and detail-oriented analyst with proven excellence in experimental design, data analysis methods, data management, and presentation.
• Excellent written and verbal communication skills.
• Experience working with teams to complete projects and demonstrated experience in leading teams.
• Demonstrated ability to multi-task, prioritize options, anticipate challenges, and execute goals as a member of an interdisciplinary team is extremely important.
• Thrives in a collaborative team setting and is driven by a desire to be innovative in a high-energy, fast-paced environment.

The expected salary range for this role is $195,000 to $245,000. An individual’s position within the range may be influenced by multiple factors, including skills and experience in role, overall performance, individual impact and contributions, tenure, and market dynamics. 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.

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