Data in pharma: Bridging the gap between Data Science and Data Engineering

In the pharmaceutical world, the need for multimodal data has increased drastically, partly by the enablement of AI. How can we avoid the pitfalls and meet the expectations from both sides: flexibility for the researchers and robust datasets without major management burden for the engineers? Orion shares best practices and lessons learned.

Miika Vuorimaa
Data Engineer
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Orion Pharma