38 – Data Science as Interstitial Fluid: Lessons and Experience from a Growing Neuroscience Biotech

Nirmal Keshava

Nirmal Keshava, PhD

Vice President, Data Science and Innovation, Cerevel Therapeutics

Sep 15, 2022

The integration of data science into the fabric of the medical industry is ongoing. Biotechs are unique as they typically work with very limited resources but can use data-centric approaches in the early stages of drug development, where they can impart a substantial downstream impact. However, using data science effectively depends on having a constellation of opportunities, resources, and internal champions. The chances for success are further improved by human factors and a strongly human-centric approach to engagement and solution development.

Find out how Cerevel has tackled this by establishing a data science organization early that has since permeated many organizations—beginning the process of establishing data-centric platforms, technologies, and algorithms as a kind of interstitial fluid that is reducing uncertainty in decision making and increasing efficiency.

Join this session to learn:

  • Benefits of applying data science to a wide variety of problems.
  • Steps you can take to insert data science into your organization.
  • Use cases across pre-clinical research and development, clinical development and operations, and strategic business development.

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