Jobs · Research · Connecticut

ViiV Healthcare (GSK) Director, Nonclinical Drug Discovery Modeling and Programming

GSK · Branford, CT · 2 wk ago
ResearchFull-time

About the role

The Director, Nonclinical Drug Discovery Modeling and Programming serves as the scientific and strategic lead for Model-Informed Drug Discovery (MIDD) within ViiV Discovery. This role drives the application of predictive modeling, simulation, and computational tools to inform portfolio decisions across HIV programs. The role partners closely with DMPK, Medicinal Chemistry, Biology, and Clinical Pharmacology to enable early dose predictions and guide the design and selection of high-quality clinical candidates as rapidly as possible.

Responsibilities

  • Develop and apply fit-for-purpose mechanistic and translational models (PBPK, IVIVE, PK/PD) to guide design teams toward the highest-quality clinical candidates.

  • Build scalable computational tools, workflows, and prototypes that accelerate discovery decisions and candidate optimization.

  • Leverage expertise in PBPK, IVIVE, PK/PD, formulation and route-of-administration modeling to develop fit-for-purpose modeling approaches and scalable tools.

  • Drive innovation through advanced modeling, AI/ML approaches, and emerging external scientific developments.

  • Establish best practices, standards, and governance for modeling methodologies, tools, and computational workflows.

  • Translate complex ADME, PK, PD, and translational data into actionable insights for project teams and senior leadership.

  • Lead cross-functional collaboration across Discovery DMPK, Discovery Pharmaceutics, Clinical Pharmacology, and Nonclinical Safety to enable rapid, data-driven decisions.

  • Build organizational capability in modeling, simulation, programming, and prototyping through mentoring and scientific leadership.

  • Represent ViiV externally through scientific publications, regulatory interactions, and thought leadership activities.

Requirements

Basic Qualification:

  • MS Degree & 12 years or PhD & 8 plus years of experience (post-graduation) in drug discovery
  • Advanced computational programming expertise in model scripting languages (e.g., R, Python, or equivalent) and modeling platforms (e.g., SimCYP, GastroPlus, WinNonLin, etc.) to develop modeling and analysis workflows
  • Experience in the application of empirical (e.g. NCA, compartmental modeling) and mechanistic modeling (e.g. PBPK, QSP) approaches to support discovery programs and rapid decisions
  • Experience integrating diverse datasets (in vitro, in vivo, clinical, omics where applicable) into unified predictive modeling platforms
  • Experience applying frequentist, Bayesian, and/or AI/ML approaches (e.g., surrogate modeling, parameter optimization, predictive analytics) to enhance model performance and decision-making
  • Ability to interpret and communicate modeling results to senior stakeholders, cross-functional teams, and through reports and literature articles

Preferred Qualification

  • PhD with 12 plus years of drug discovery experience
  • Experience working across teams, including matrix and functional leadership, and partnering with internal and external experts
  • Excellent written, verbal, and presentation skills, including experience communicating scientific concepts to cross-functional teams and stakeholders

Benefits

ViiV offers a comprehensive benefits program including:

  • Comprehensive health insurance
  • Flexible spending accounts
  • Retirement savings plan
  • Employee assistance programs
  • Work-life balance initiatives

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program ViiV offers US employees.

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