Director, Clinical Pharmacology Modelling and Simulation

3 hours ago


Stevenage, Hertfordshire, United Kingdom VONQ Full time
Job Description

We are seeking a highly skilled Clinical Pharmacology Modelling and Simulation Director to join our team at GSK. As a key member of our Respiratory and Immunology department, you will play a critical role in driving the integration of end-to-end model-informed drug discovery and development.

As a Clinical Pharmacology Modelling and Simulation Director, you will be responsible for defining, coordinating, and defending Clinical Pharmacology Modelling and Simulation development strategies for disease and therapeutics of interest at senior-level meetings. You will also provide expert input into the clinical pharmacology evidence generation and integrated evidence plans.

This is an exciting opportunity to join a highly successful and well-recognized team in the broader industry, reputed for their impact and publications success. The role brings together typically independent streams, combining modelling/simulation with clinical impact, touching the whole life cycle from first in human and beyond.

Key Responsibilities
  • Establish or guide mathematical model development to understand disease, its progression, and drug action to prevent, treat, and cure diseases.
  • Define and execute a coordinated scientific and technical strategy with demonstrated ability to coordinate outputs from several expertise areas to determine strategy.
  • Build and utilize mechanistic models of biological, physiological, and pathophysiological processes to evaluate a disease, its pathways, and progression, as well as drug candidates or treatment modalities.
  • Work in close collaboration with bench biologists, data scientists, computational biologists, clinicians, and other partner line colleagues to inform research and development programs and improve our understanding of disease mechanisms.
  • Develop and/or utilize state-of-the-art mathematical tools to gain insight into causal relationships between individual components of system-level and drug-level responses of drug-target-biomarker-disease-patient interaction.
  • Create a collaboration framework with internal and external experts in the development and application of these models.
  • Learn and apply emerging modeling and simulation methodologies with a view to enhance clinical program efficiency and investment decision quality; collaborate with external field-leading teams for methodology application.
  • Implement best practices, trends, lessons learned from internal and external sources to further clinical pharmacology modelling and simulation contributions to R&D pipeline.
Why You?

We are looking for professionals with the following required skills to achieve our goals:

  • PhD, MD, or PharmD with experience in clinical pharmacology, modelling and simulation in pharmaceutical research and development.
  • Significant experience in clinical pharmacology, modelling/simulation and drug development to solve practical problems in pharmaceutical industry.
  • Significant experience in mechanistic mathematical modeling and the application of such to clinical questions in drug development.
  • Experience in the respiratory therapy area.
Preferred Qualifications:

If you have the following characteristics, it would be a plus:

  • Additional experience in immunology would be of benefit.
  • Demonstrated experience of collaboration in a multi-discipline team, using effective communication and taking personal accountability for timely delivery of results.
  • Evidenced experience making sound judgement in complex situations and adapt to changing business needs by prioritizing multiple tasks.
  • Experience working with senior stakeholders in a cross-functional environment.
  • Strong track record of implementation of Model-Informed Drug Discovery and Development (MIDD) approaches to accelerate patient access to novel therapies and to expand therapeutic indications of marketed drugs.
  • Strong drive and learning agility to build knowledge on a drug-disease system, symptom progression, standard of care, and trial design.


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