Bioinformatics Data Engineer

4 weeks ago

Redwood City, California, United States REVOLUTION Medicines Full time
About the Role

We are seeking a highly skilled Bioinformatics Data Engineer to join our Translational Medicine team at Revolution Medicines. As a key member of our cross-functional bioinformatics team, you will play a critical role in transferring, organizing, and disseminating biomarker data from clinical trial samples.

Key Responsibilities
  • Establish connections between our cloud storage and external file shares to facilitate seamless data transfer.
  • Develop scripts and processes to clean, upload, and accession biomarker data from clinical trials into internal systems for further analysis.
  • Collaborate with other departments to share and disseminate data in a controlled and documented manner.
  • Design and implement data visualization dashboards using Python and R frameworks to effectively communicate complex data insights.
  • Utilize and modify data analysis pipelines using Nextflow and WDL to ensure efficient and accurate data processing.
Requirements
  • Master's or bachelor's degree in a biology or computer science related field, with 3+ years of experience.
  • Expertise in designing and querying databases using SQL and object-relational mapping techniques.
  • Proficient in utilizing Python and R for data manipulation and analysis.
  • Strong familiarity with bioinformatics data types and outputs.
  • Excellent communication skills, enabling effective collaboration and conveying technical information clearly to diverse audiences.
Preferred Skills
  • Experience using visualization packages such as R Shiny, PowerBI, or similar systems.
  • Experience in biomarker data analysis and bioinformatics.
  • Familiarity with large genomic data sets (GDC, TCGA, etc.).
  • Experience in tools to analyze cancer genomics datasets (GATK, Salmon, OncoKB, VEP, etc.).
About Revolution Medicines

Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. Our 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.

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