Director, Oncology Clinical Pharmacology Midd Ai/ml

GlaxoSmithKline

Cambridge, MA, US
Base: $188,100 to $313,500; bonus/equity: annual b...
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Phd in quantitative clinical pharmacology
5+ years mechanistic pkpd modeling
Proficiency in nonmem or r
** The Director of Oncology Clinical Pharmacology at GlaxoSmithKline (GSK) is responsible for leading the Modelling and Simulation (MIDD) department to enhance the development of innovative oncology therapies. The role requires a strong background in quantitative clinical pharmacology, pharmacometric tools, and AI/ML applications, with an emphasis on collaboration and delivering impactful results in drug development. **

Job Summary

  • This role focuses on delivering quantitative excellence to inform and accelerate the development of innovative Oncology therapies by ensuring they reach the right patients at the right dose and time.
  • The position requires applying innovative methods such as drug-disease modeling, longitudinal exposure-response analysis, and AI/ML informed analyses to enhance data use and trial efficiency.
  • GSK offers a supportive environment with competitive compensation including an annual base salary ranging from $188,100 to $313,500, plus bonus eligibility and comprehensive benefits.

Matching Summary

Match Score: 75

** The Director of Oncology Clinical Pharmacology at GlaxoSmithKline (GSK) is responsible for leading the Modelling and Simulation (MIDD) department to enhance the development of innovative oncology therapies. The role requires a strong background in quantitative clinical pharmacology, pharmacometric tools, and AI/ML applications, with an emphasis on collaboration and delivering impactful results in drug development. **

Salary

Base: $188,100 to $313,500; Bonus/Equity: Annual bonus and share-based long term incentive program; Benefits: Health care, retirement, paid holidays, vacation, and parental leave

Skills & Requirements

Must-have

  • PhD in Quantitative Clinical Pharmacology
  • 5+ years mechanistic PKPD modeling
  • Proficiency in NONMEM or R
  • 3+ years clinical data analysis experience
  • Expertise in AI/ML applications in pharmacology

Nice-to-have

  • Strong drive and learning agility
  • Experience in Oncology Research and Development
  • Ability to collaborate in multi-discipline teams
  • Track record of implementing MIDD approaches
  • Excellent interpersonal and presentation skills

Key Requirements

  • PhD in Quantitative Clinical Pharmacology or Life Sciences
  • Master degree with 4+ years relevant experience
  • 5+ years utilizing mechanistic PKPD and disease modeling
  • 3+ years planning and reporting clinical data analysis
  • Verifiable proficiency in NONMEM or R tools

Work Rights

Not specified

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