This Scientific Leader, Nonclinical Drug Discovery Modeling contributes to Model-Informed Drug Discovery (MIDD) across ViiV Discovery by developing and applying fit-for-purpose modeling and simulation approaches that enable rapid, data-driven decision-making for HIV drug discovery programs. This discovery-focused individual contributor leverages mechanistic and translational modeling approaches (e.g., PBPK, IVIVE, PK/PD) to integrate experimental data and generate predictive insights that support compound progression from target validation through candidate selection across diverse modalities, including small molecules, biologics, ADCs, LNPs, and PROTACs. Working within established modeling frameworks and in close partnership with DMPK, Medicinal Chemistry, Biology, and Clinical Pharmacology, the role translates ADME, pharmacokinetic, and pharmacological data into early dose predictions across multiple formulations and routes of administration, helping project teams rapidly identify and advance the highest-quality candidates for clinical development.
This role will be based out of Branford, CT & is eligible for a domestic relocation package.
This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:
Apply fit-for-purpose modeling and simulation approaches to support decision-making across HIV discovery programs.
Develop and execute mechanistic and translational models (e.g., PBPK, IVIVE, PK/PD) to support dose prediction, compound optimization, and candidate selection.
Integrate experimental data into predictive workflows and translate ADME, PK, PD, and translational data into actionable project insights.
Apply modeling expertise across diverse modalities, formulations, and routes of administration, including long-acting therapies.
Guide program teams toward the identification and advancement of high-quality clinical candidates.
Contribute to modeling workflows, computational tools, and reproducible coding practices.
Collaborate with Chemistry, Biology, DMPK, and Clinical Pharmacology teams to support program objectives and dose prediction strategies.
Communicate modeling results and recommendations to multidisciplinary project teams.
Support modeling best practices and contribute to innovation through new methodologies and technologies.
Contribute to scientific publications, regulatory documentation, and knowledge sharing within the modeling community.
Why You?
Basic Qualification
We are seeking professionals with the following required skills and qualifications to help us achieve our goals:
MS Degree & 7 plus years of experience or PhD & 4 plus years of experience (post-graduation) supporting drug discovery programs
Experience with modeling platforms (e.g., SimCYP, GastroPlus, WinNonLin, etc.) and basic scripting experience (e.g., R MATLAB, Python) development
Ability to apply mechanistic modeling approaches to support discovery programs and to progress rapid decisions
Experience with integrating experimental datasets into modeling workflows
Familiarity with reproducible coding practices and version control
Experience in PK/PD, PBPK, or IVIVE modeling approaches
Ability to interpret results and communicate to cross-functional teams
Preferred Qualification
If you have the following characteristics, it would be a plus:
PhD & 6 plus years of drug discovery experience.
Experience working across teams, including partnering with internal and external experts
Excellent written, verbal, and presentation skills, including experience communicating scientific concepts to cross-functional teams and stakeholders.
Strong data visualization and numerical analysis capabilities are highly valued
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Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program ViiV offers US employees. All ViiV employees receive the same benefits options and plans as GSK employee.
