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You + Helix

Helix is a place where innovators & doers gather in order to drive significant progress in population genomics. We have come together to work at the intersection of clinical care, research, & genomics.  

If youre excited by the idea of making a meaningful impact & joining a team where we pride ourselves on driving innovation through fostering an environment with an emphasis on empowering one another to grow, Helix might be the place for you!

Helix + The World

Our end-to-end population genomics platform enables health systems, life sciences companies, & payers to advance genomic research & accelerate the integration of genomic data into routine clinical care. We support all aspects of population genomics from recruitment to translational research & help our partners use genomics to improve health outcomes, increase patient engagement, & lower costs.   Leading health systems, including Renown Health, AdventHealth, & Mayo Clinic, use our population genomics platform to power some of the worlds largest & fastest-growing population genomics initiatives.

For the COVID-19 public health crisis, Helix has built one of the nations largest COVID diagnostic labs & has been on the leading edge of national viral surveillance efforts tracking B.1.1.7 & other viral strains.  

As a Data Engineer, you will:

  • Implement data warehousing solutions for clinical & public health data.
  • Maintain data integrity & quality throughout the data lifecycle, including ensuring regulatory compliance (e.g., blinding) where appropriate.
  • Author data models that are simple, functional, & support varied use cases.
  • Collaboratively design & build data infrastructure & tools.
  • Develop a strong domain understanding of genomics, infectious disease, & healthcare data at large.
  • Mentor other engineers to reinforce a culture of learning & teaching.


  • 4+ years experience in Go, Python, or a similar language
  • Expertise architecting & building large data warehousing solutions on AWS, Azure, or GCP
  • Command of data modeling, data stores, & query optimization
  • Deep understanding of data technology implementation & architectural tradeoffs
  • Strong written & verbal communication skills


  • Health data experience
  • Experience building with AWS Redshift
  • Experience using infrastructure as code tooling/frameworks (e.g. Terraform, CloudFormation)
  • Proficiency with serverless architectures
  • BS+ in Computer Science; coursework in statistics, genetics, or bioinformatics
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