Senior Principal Scientist/Associate Director, Radioligand Modeling Expert

6 days ago


Cambridge, Massachusetts, United States Novartis Group Companies Full time
About the Role

We are seeking an experienced translational or clinical modeler to accelerate radioligand discovery and development by enabling rigorous decision-making with modeling and simulation.

Key Responsibilities
  • Act as the Translational M&S representative on radioligand therapy programs, developing and executing modeling strategies, contributing to project team discussions, and guiding therapeutic design and dose selection decisions.
  • Build and apply innovative QSP and physiologically based PK (PBPK) models along with dosimetry estimations to link RLT pharmacology, tissue biodistribution, mechanism(s) of action, and biological and clinical outcomes.
  • Advance the development of an integrated RLT modeling platform that bridges data and knowledge across preclinical species and patients, partnering with discovery project teams as well as the preclinical safety and pharmacometrics groups.
  • Advance the translational science for radiopharmaceuticals, setting new standards in how to guide RLT discovery and clinical development.
  • Proactively seek opportunities to increase the impact and awareness of translational and clinical modeling through communications with internal and external audiences.
  • Contribute to group strategy and serve as an M&S subject area expert across PK Sciences and Biomedical Research initiatives.
Requirements
  • Ph.D. in biology, pharmaceutical sciences, bioengineering, biophysics, or a related field with 6+ years of experience (experience in industry preferred) as well as demonstrated mastery of radiobiology/nuclear medicine.
  • Extensive experience, preferably in industry, in pharmacokinetics and pharmacodynamics (PK/PD), quantitative systems pharmacology (QSP), and/or physiologically based PK (PBPK) modeling is required.
  • Expert level proficiency in core modeling fundamentals is required, including scripting languages (e.g., MATLAB, R), construction of ordinary differential equation (ODE) models, parameter estimation, and data visualization. Proficiency in dosimetry is a plus.
  • Demonstrated ability to communicate modeling results to a multidisciplinary audience to facilitate decision-making.
  • Demonstrated ability to independently develop and implement modeling strategy across a disease area and/or modality platform.
  • Demonstrated scientific leadership in Modeling & Simulation and ability to effectively partner with and influence the broader drug discovery and development organization to be considered at the Associate Director level.
  • Fluent in English (oral and written).


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