Data Engineer, BDM

Key Skills

AWS, Data science techniques, DevOps, Docker, Effective communication skills, Git, Linux Operating system, Management, Python Programming, R Programming, SaaS

Job Description

QuartzBio (www.quartz.bio) is a Software-as-a-Service (SaaS) solutions provider to the life sciences industry. We deliver innovative, data enabling technologies (i.e., software) that provide biotech/pharma (R&D) teams with enterprise-level access to sample/biomarker data management solutions & analytics, information, insight & reporting capabilities. 

Our end-to-end (from sample collection to biomarker data) suite of solutions are focused on providing sponsors information (data with context) – we do this by connecting biospecimen, assay as well as clinical data sources in a secure and scalable cloud-based infrastructure, enabling seamless, automated data management workflows, key insight development, improved collaboration, and the ability to make faster, more informed decisions.

Position Summary:

The Data Engineer will support configuration and implementation of QuartzBio’s cutting edge technology solutions to enable management of a broad variety of data from various assay technologies and data sources. 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 implementation/configuration of QuartzBio’s cutting edge enterprise Biomarker Data Management platform on client projects
• Support the team in designing, automating, testing, documenting, deploying and maintaining automation workflows for
• Support implementation of strategies for use of cloud to support automation in active collaboration with the team of data scientists, biologists and statisticians
• Other duties as assigned

Qualifications:

Minimum Required:

• Bachelor’s Degree Computer Science, Data Science, Bioinformatics, Computational Biology or a related field
• 3-5 years software development or data engineering experience
• Programming language: R experience, with additional Python experience preferred but not required 

Other Required:

• Experience with implementing automated workflows
• Experience with command line tooling preferably in Linux
• Experience with containerized systems (Docker)
• Experience in programming concepts including reproducibility, consistency and test-driven development
• Comfort in either R or Python
• 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
• Other preferred, but not required skills: experience working with biological data such as data from NGS, immunophenotyping, gene expression, protein expression assay

Preferred:

• Experience with designing automated workflows
• Comfort using multiple programming languages, including R and Python
•  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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