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

Level:
Advanced

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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