Director of Data Science responsible for strategy and leadership in AI/ML innovations within pharmaceutical R&D. Overseeing data science initiatives and nurturing high-performing teams.
Responsibilities
Define and execute the comprehensive data science strategy
Coach, mentor, and lead a high-performing data science team to deliver transformative solutions
Maintain strong relationships with partner functions
Oversee the development and deployment of novel data science innovations
Deploy Generative AI (GenAI) and Large Language Models (LLMs)
Create scalable platforms for R&D data analytics
Develop generative models for scientific applications using GNNs or Transformers
Design computational frameworks to enhance predictivity and augment decisions for complex therapeutic portfolios
Forge strong, collaborative partnerships with internal R&D leaders across Chemistry, Biology, DMPK, Bioanalysis, Toxicity, Formulation, and Translational Medicine
Requirements
Ph.D. or MS in a scientific or computational discipline (e.g., Biochemistry, Biophysics, Computational Biology, Chemistry, Engineering, Computer Science or related STEM field)
A PhD and a minimum of 7 years of experience in the pharmaceutical industry, with a proven track record of progressing leadership roles OR an MS and 10+ years of experience
Domain knowledge across multiple R&D functions, including but not limited to molecular design, bioanalysis, ADME, PK/PD, translational, and (digital) clinical trials
Expert-level knowledge of modern AI/ML, including Generative AI, LLMs, Graph Neural Networks (GNNs), and Transformers, applied to scientific challenges
Benefits
medical, dental, vision healthcare and other insurance benefits (for employee and family)
retirement benefits, including 401(k)
paid holidays
vacation
compassionate and sick days
Job title
Director, Data Science – Pharmacokinetics, Dynamics, Metabolism, Bioanalytics
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