Principal Scientist II/Senior Principal Scientist, Modeling & Simulation (Dual Level Posting)

About the role

Key responsibilities:

• Act as the M&S representative on several programs. Develop and execute modeling strategies, contribute to project team discussions, and guide model-informed decisions from therapeutic design to first-in-human dose selection and beyond.
• Build and apply mechanistic models (PK/PD, QSP, and PBPK/PD) that link drug pharmacology, tissue biodistribution, mechanism(s) of action, and downstream effects.
• Integrate modeling into the design and interpretation of preclinical in vivo and in vitro studies to support candidate selection, optimization, and advancement towards the clinic.
• Collaboratively develop platform disease (QSP) and PBPK/PD models that extend across multiple projects and phases of discovery & development.
• Engage in strategic initiatives within M&S, such as creating platform-level translational modeling strategies to impact across projects and developing modeling workflows (e.g., agentic AI).
• Proactively seek opportunities to increase the understanding and adoption of translational modeling among internal partners and expand the impact and visibility of modeling through external collaborations.

Essential requirements

• Ph.D. in biology, bioengineering, pharmaceutical sciences, biophysics, or a related field and 3+ years of industry experience with progressively increasing levels of responsibility. Master’s degree with 5+ years of industry experience and demonstrated impact will be considered.
• General Modeling Skills: 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.
• Industry Modeling Skills: Proficiency in pharmacokinetics and pharmacodynamics (PK/PD), quantitative systems pharmacology (QSP), and/or mechanistic physiologically based PK/PD (PBPK/PD) is required. Proficiency in pharmacometrics concepts (Population PK, exposure-response modeling) is preferred.
• Domain Expertise: Prior experience with the integration of computational modeling and biological concepts is required. Experience modeling in the neuroscience and/or cardiovascular disease areas is preferred but not strictly required. Experience with oligonucleotide therapeutics (siRNA, ASO, PMO, etc.) and/or related experience with antibody-drug conjugates (ADCs) is strongly preferred.
• Collaboration and Communication: Demonstrated ability to communicate modeling results to a multidisciplinary audience for collaborative work and/or to facilitate strategy and decision-making. Fluent in English (oral and written).