Case study

How Sema4 improved global onboarding time for new computational team members

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The challenge

Sema4 is a precision health company that uses Centrellis®, a proprietary health intelligence platform, to handle large datasets. However, the team needed a solution for computational research that could work with Centrellis while also handling a demanding set of requirements:

Multiple locations

The Sema4 team was spread across multiple different locations, and needed a way to make sure they could collaborate effectively.

High data volume

The team were working 12 million de-identified clinical records, including more than 500,000 with genomic profiles.

Many data sources

They were also working with biomarker data coming from multiple different partner locations.

Installed Code Ocean on their Amazon Web Services (AWS) virtual private cloud (VPC)

Onboarded all existing users into Code Ocean, bringing them onto a common platform for computational work

Established common standards for computational research that could be co-developed, shared, analyzed, and cross-validated

Sema4 implemented Code Ocean as their primary cloud-based computational research platform:

The results

Faster onboarding

This now takes days, not weeks, and requires almost no IT support.

Standardization

Consistent processes established to share, compare, analyze and cross-validate work.

“Compute Capsules have cut down on the time it takes new team members to be up and running and allows them to focus from day one on research, rather than on getting set up for their work.”