AWS · Pharma R&D
R&D data lake accelerated molecule screening 4× for a global pharma.
We built a governed R&D data lake on AWS with elastic HPC — collapsing molecule screening cycles by 4× while keeping every dataset lineage-tracked.
[Screening speed]
4×
[HPC capacity]
elastic
[Lineage tracked]
100%
[ The Problem ]
Where the business was stuck.
R&D workflows blocked by fragmented data across labs, CROs and legacy HPC.
[ Key Challenges ]
- ▸Data fragmented across labs and CROs
- ▸HPC capacity capped by on-prem hardware
- ▸Lineage tracking manual and unreliable
Our approach
How we engineered
the outcome.
STEP 01
Governed data lake on S3 + Lake Formation
STEP 02
Elastic HPC on ParallelCluster with spot
STEP 03
Lineage graph via OpenLineage
[ Solution highlights ]
Delivered — measured — in production.
- ✓Molecule screening cycles 4× faster
- ✓HPC scale-out on-demand
- ✓Every dataset lineage-traced
[ Tech stack ]
Built on AWS.
AWS
ParallelCluster
Lake Formation
OpenLineage
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Our scientists spend time on science, not on chasing data.
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