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Najat Khan, PhD
Chief R&D Officer and Chief Commercial Officer, Board member, Recursion Pharmaceuticals; Former Chief Data Science Officer & SVP/Global Head, Strategy & Portfolio, R&D, Johnson & Johnson
Najat Khan, PhD, is a prominent figure in the pharmaceutical and healthcare industry who recently joined Recursion Pharmaceuticals as Chief R&D Officer and Chief Commercial Officer, while also becoming a member of the company's Board of Directors.134
Professional Background
Prior to joining Recursion, Dr. Khan held significant roles at Johnson & Johnson (J&J), including:
- Chief Data Science Officer and Global Head of Strategy and Portfolio Organization for Innovative Medicine R&D34
- Co-chair of the Johnson & Johnson Data Science Council6
At J&J, she played a crucial role in building an industry-leading pipeline that delivered multiple transformational medicines.3 Dr. Khan has been a pioneer in leveraging data science and AI at scale in the pharmaceutical industry.3
Expertise and Focus
Dr. Khan's expertise spans several areas:
- Biological, chemical, and medical sciences
- Computational and data science
- General business leadership
Her mission focuses on harnessing the power of science, data, and AI to revolutionize the discovery, development, and delivery of transformative medicines for patients.34
Education and Achievements
- PhD in Organic Chemistry from the University of Pennsylvania13
- BA in Computational Chemistry with a minor in Economics from Colgate University12
- Published in high-impact journals such as Nature and Proceedings of the National Academy of Sciences2
- Named on Endpoints News' list of top 20 leaders under 40 in biopharma and biotech in 20221
Additional Roles and Initiatives
- Board member for Alliance for Artificial Intelligence in Healthcare35
- Steering Committee member of the White House's Moonshot CancerX program35
- Founder and co-chair of the Data Science in Industry Roundtable (DISRUPT)35
Dr. Khan's unique blend of scientific expertise, data science knowledge, and business acumen positions her as a leader in the evolving landscape of AI-enabled drug discovery and development.