Senior Data Engineer Biospecimen Data Management- Remote EU

The Sr. Data Engineer will support product development for Precision’s cutting-edge Translational Data Management/Integration and Informatics platform, QuartzBio (www.quartz.bio). The main focus is to develop and implement automation and testing approaches to support product development working with an interdisciplinary team that includes a software engineering team as well as various data science teams.

Essential functions of the job include but are not limited to:

• Responsible for supporting product development for QuartzBio’s cutting edge Biomarker Data Management and Translational Informatics platform
• Support the team in designing, automating, testing, documenting, deploying and maintaining automation workflows
• Is responsible for proactively identifying and implementing strategies for use of cloud to support automation. Work to be done in active collaboration with the team of data scientists, biologists and statisticians
• Other duties as assigned

Qualifications:

Minimum Required:

• Bachelor’s Degree Computer Science, Bioinformatics, Computation Biology or a related field
• 5-10 years software development/engineering experience
• 3-5 years’ experience actively working with cloud compute resources

Other Required:

• Experience with designing automated workflows
• Strong skills in IT, especially Linux system administration
• Experience with containerized systems (Docker)
• Expertise in programming concepts including reproducibility, consistency and test-driven development
• Comfort using multiple languages, including R
• Extensive experience with source-code management (Git)
• Exercises judgment within generally defined practices selecting an approach for obtaining solutions
• Excellent communication and interpersonal skills
• Team player contributing to a positive, collaborative working environment
• Must be able to read, write, speak fluently and comprehend the English language

Preferred:

• Working knowledge of AWS cloud computing capabilities
• Familiarity with SaaS solutions
• Familiarity with biological and/or clinical data
• Experience in multiple coding languages, and comfort coming up to speed in new ones
• Ability to manage highly-varied, fast-paced work environment
• Experience in DevOps

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