Russell Naven Email & Phone Number | Safer medicines faster. I am passionate about applying the right data science techniques to help create the tools and knowledge that enable safer drug design and development. I am an organic chemist by training with over 27 years’ experience in the drug discovery industry, including 22 years in Predictive Toxicology. My experience is broad; from understanding target safety and candidate selection, the validation of in silico and in vitro models, through to the risk assessment of API and Device impurities. I appreciate deeply the complex interdependencies between Chemistry, Toxicology and ADME; it is their integration, and the close collaborations that arise, which will raise the bar on Predictive Safety. My philosophy embodies the importance of a strong partnership between AI and human-centered data science to ensure the delivery of translational safety strategies that can truly elevate patient safety and accelerate drug design.

Russell Naven

Safer medicines faster. I am passionate about applying the right data science techniques to help cre...
Boston, Massachusetts, United States

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Russell Naven’s Email naven@vrtx.com

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Russell Naven’s Location Boston, Massachusetts, United States

Russell Naven’s Current Industry Novartis

Russell Naven’s Prior Industry Vertex Pharmaceuticals | Takeda Pharmaceuticals | Pfizer | Lhasa | Astrazeneca

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Head, Predictive Safety Data Exploration

2022-09-01 00:00:00 - Present

Toxicology Senior Research Fellow, Integrated Safety and Data Analytics.

2020-02-01 00:00:00 - 2022-08-01 00:00:00

Associate Director, Computational and Chemical Toxicology, Drug Safety Research & Evaluation

2015-06-01 00:00:00 - 2020-01-01 00:00:00

Senior Principal Scientist, Toxicoinformatics, Drug Safety Research & Development

2008-02-01 00:00:00 - 2015-05-01 00:00:00

Principal Scientist, Computational and Chemical Toxicology

2002-04-01 00:00:00 - 2008-02-01 00:00:00

Senior Synthetic Chemist, Medicinal Chemistry

1997-12-01 00:00:00 - 2002-04-01 00:00:00

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Russell Naven is a Safer medicines faster. I am passionate about applying the right data science techniques to help create the tools and knowledge that enable safer drug design and development. I am an organic chemist by training with over 27 years’ experience in the drug discovery industry, including 22 years in Predictive Toxicology. My experience is broad; from understanding target safety and candidate selection, the validation of in silico and in vitro models, through to the risk assessment of API and Device impurities. I appreciate deeply the complex interdependencies between Chemistry, Toxicology and ADME; it is their integration, and the close collaborations that arise, which will raise the bar on Predictive Safety. My philosophy embodies the importance of a strong partnership between AI and human-centered data science to ensure the delivery of translational safety strategies that can truly elevate patient safety and accelerate drug design.