Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. The companys 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:
In this role you will work within our Translational Medicine group analyzing and interpreting molecular and clinical data. Analysis will focus on using genomic protein and other targeted assays to identify and validate predictive biomarkers. The bioinformatician will work on various projects in different phases of drug development and contribute to the cross-functional team which includes other bioinformaticians program leads medical monitors biostatisticians and preclinical scientists.
As a Scientist II Clinical Bioinformatics in Translational Medicine you will:
Integrate multiple data sources including circulating tumor DNA patient enrollment data molecular profiling (RNA/DNA sequencing outputs) multiplex immunohistochemistry to identify and validate new biomarkers for candidate drugs.
Work with internal groups contract research organizations and collaborators to deliver validated biomarker data and analysis.
Support the development of biomarker related aspects of the trial design where bioinformatic analysis is required including developing and executing on biomarker and statistical analysis plans.
Work with biomarker scientists to support analysis of biomarker readouts (summary statistics and visualization of efficacy in molecular subgroups).
Collaborate with preclinical bioinformaticians to design analyze and interpret experiments to validate biomarkers understand compound mechanism of action and resistance and identify biomarkers for patient selection/stratification.
Required Skills Experience and Education:
M.S. or Ph.D. in bioinformatics data science or a related field with emphasis on biological data analysis.
2 years of pharmaceutical or biotech experience in bioinformatics focused on oncology or related field.
Proficiency and experience programming using R and/or Python.
Previous biostats and/or translational medicine experience in phase 3 trials strongly preferred.
Proficiency in statistical models and analysis of clinical data. Some ML experience a strong plus.
Proficiency in visualizations and faceting of molecular data necessary (oncoplots heatmaps PCA etc.).
Experience with efficacy baseline demographic and other outcome data generated in a clinical trial.
Experience with statistical methods i.e. survival analysis and causal inference.
Expertise in bioinformatic analysis of cancer signaling pathways and driver mutations.
Experience in tools to analyze cancer genomics data types (RNA WES ctDNA etc) and common tool outputs (GATK Salmon OncoKB VEP etc.) preferred.
Preferred Skills:
Development with professional software development systems and methods (IDEs git ticketing systems).
Familiarity with large public/private genomic data sets (GDC TCGA etc.).
Familiarity with clusters containers and cloud computing infrastructure for data processing analysis and storage.
Experience in tools to analyze cancer genomics datasets (GATK Salmon OncoKB VEP etc.). #LI-Hybrid #LI-SH1
The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role level and location. Individual base pay salary is determined by multiple factors including job-related skills experience market dynamics and relevant education or training.
Please note that base pay salary range 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 ourCCPA additional information please contact.
Base Pay Salary Range
$128000$160000 USD
Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. The companys R&D pipeline comprises RAS(ON) Inhibitors designed to suppress diverse oncogenic variants of RAS proteins and RAS Compa...
Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. The companys 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:
In this role you will work within our Translational Medicine group analyzing and interpreting molecular and clinical data. Analysis will focus on using genomic protein and other targeted assays to identify and validate predictive biomarkers. The bioinformatician will work on various projects in different phases of drug development and contribute to the cross-functional team which includes other bioinformaticians program leads medical monitors biostatisticians and preclinical scientists.
As a Scientist II Clinical Bioinformatics in Translational Medicine you will:
Integrate multiple data sources including circulating tumor DNA patient enrollment data molecular profiling (RNA/DNA sequencing outputs) multiplex immunohistochemistry to identify and validate new biomarkers for candidate drugs.
Work with internal groups contract research organizations and collaborators to deliver validated biomarker data and analysis.
Support the development of biomarker related aspects of the trial design where bioinformatic analysis is required including developing and executing on biomarker and statistical analysis plans.
Work with biomarker scientists to support analysis of biomarker readouts (summary statistics and visualization of efficacy in molecular subgroups).
Collaborate with preclinical bioinformaticians to design analyze and interpret experiments to validate biomarkers understand compound mechanism of action and resistance and identify biomarkers for patient selection/stratification.
Required Skills Experience and Education:
M.S. or Ph.D. in bioinformatics data science or a related field with emphasis on biological data analysis.
2 years of pharmaceutical or biotech experience in bioinformatics focused on oncology or related field.
Proficiency and experience programming using R and/or Python.
Previous biostats and/or translational medicine experience in phase 3 trials strongly preferred.
Proficiency in statistical models and analysis of clinical data. Some ML experience a strong plus.
Proficiency in visualizations and faceting of molecular data necessary (oncoplots heatmaps PCA etc.).
Experience with efficacy baseline demographic and other outcome data generated in a clinical trial.
Experience with statistical methods i.e. survival analysis and causal inference.
Expertise in bioinformatic analysis of cancer signaling pathways and driver mutations.
Experience in tools to analyze cancer genomics data types (RNA WES ctDNA etc) and common tool outputs (GATK Salmon OncoKB VEP etc.) preferred.
Preferred Skills:
Development with professional software development systems and methods (IDEs git ticketing systems).
Familiarity with large public/private genomic data sets (GDC TCGA etc.).
Familiarity with clusters containers and cloud computing infrastructure for data processing analysis and storage.
Experience in tools to analyze cancer genomics datasets (GATK Salmon OncoKB VEP etc.). #LI-Hybrid #LI-SH1
The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role level and location. Individual base pay salary is determined by multiple factors including job-related skills experience market dynamics and relevant education or training.
Please note that base pay salary range 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 ourCCPA additional information please contact.
Base Pay Salary Range
$128000$160000 USD
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