Senior Bioinformatics Data Engineer


Job Overview

You Will:

  • Define and develop data asset creation workflows for clinical study data, from data pre-processing and automation through data dissemination.
  • Assist in developing and managing interactive data visualization and analytics tools for reporting and trending.
  • Play a key role in understanding user requirements, implementing systems and authoring procedures related to system use.
  • Identify new technologies, concepts, and methodologies to address complex and evolving needs of study teams and other data consumers.
  • Maintain data integrity and quality throughout the data lifecycle, including ensuring clinical study-related blinding where appropriate.
  • Your Background Includes:

  • BS/MS/PhD in a quantitative scientific field (computer science, engineering, mathematics, statistics, bioinformatics, etc.)
  • 3 – 5 years of industry experience.
  • Experience with R or Python programming and at least one system-level programming language like Go, Java or C++.
  • Experience with SQL development and data warehousing concepts (e.g. ETL/ELT).
  • Experience with AWS.
  • Familiarity with AWS Athena, Glue, Data Pipeline a plus.
  • Experience with a workflow engine, like Reflow or NextFlow a plus.
  • Experience with cross-functional collaboration while ensuring data quality and commitment to analysis reproducibility.
  • Experience with real-time data visualization and analytics tools.
  • Experience with next-generation sequencing data is a plus.
  • Excellent interpersonal communication (written and verbal) and organizational skills.
  • Excellent team player with a demonstrated track record of success in a cross-functional team environment.
  • Consistent commitment to delivering on team goals with a sense of shared urgency.
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