Scientist I
Computational Biology, Cancer Biology
Posted on 2/8/2024
Revolution Medicines

201-500 employees

Develops targeted therapies for RAS-addicted cancers.
Company Overview
REVOLUTION Medicines stands out in the oncology field for its unique approach to drug discovery, leveraging insights from nature and evolution to develop targeted therapies for RAS-addicted cancers. The company's robust drug discovery and medicinal chemistry capabilities have resulted in a deep pipeline of RAS inhibitors, with their most advanced product, RMC-4630, currently in a multi-cohort Phase 1/2 clinical program. This focus on genetic drivers and adaptive resistance mechanisms in cancer, coupled with their commitment to exploring mechanism-based dosing paradigms and in-pathway combinations, positions REVOLUTION Medicines as a leader in precision oncology.
Biotechnology

Company Stage

N/A

Total Funding

$1.1B

Founded

2014

Headquarters

Redwood City, California

Growth & Insights
Headcount

6 month growth

20%

1 year growth

49%

2 year growth

94%
Locations
San Carlos, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
R
CategoriesNew
Biology & Biotech
Requirements
  • Ph.D. in bioinformatics, genetics, or related field
  • 1+ years of experience with a focus on the analysis of NGS data
  • Expertise in statistical methods as applied to high-throughput biological experiments
  • Strong knowledge of molecular biology and genomics
  • Proficiency using R, Python, Julia, or equivalent
  • Strong scientific communication skills
Responsibilities
  • Work closely with experimental scientists to design, prioritize and develop computational analysis plans
  • Employ expertise to provide a biological interpretation of complex datasets
  • Explore and integrate multi-omic datasets including whole exome sequencing, copy number calling, bulk transcriptomics, single cell omcis and spatially resolved omics
  • Contribute to the development of analysis pipelines and computational tools
  • Work closely with scientists, contract research organizations, and other collaborators to answer key questions related to research
  • Communicate effectively the results of work to internal and external stakeholders