Preclinical DMPK Modeling Leader - PBPK/PK-PD

ViiV Healthcare

Waltham (MA)

On-site

USD 141,000 - 235,000

Full time

11 days ago

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Job summary

ViiV Healthcare seeks a Scientific Leader in Pre-clinical DMPK Drug Discovery Modeling to lead translational modeling efforts in HIV programs. You will build PBPK/IVIVE models, translate complex data into actionable insights for discovery teams, and develop computational workflows across diverse modalities and delivery routes.

The role emphasizes cross-functional collaboration, governance of modeling standards, and contribution to regulatory documents and scientific publications.

Qualifications

  • Master's degree with 7+ years post-graduate experience or PhD with 4+ years in drug discovery programs.
  • Strong ADME understanding and integration into empirical and mechanistic modeling approaches.
  • Ability to influence lead optimization, candidate selection, dose projection, and strategy.

Responsibilities

  • Develop and apply mechanistic and translational models (PBPK, IVIVE, PK/PD) to guide discovery teams.
  • Translate ADME/PK/PD data into actionable project insights for teams and leadership.
  • Apply modeling across modalities and routes of administration, including long-acting therapies.
  • Build scalable tools and workflows to accelerate decision-making.
  • Establish best practices and governance for modeling methodologies.
  • Contribute to publications, regulatory submissions, and external thought leadership.

Skills

ADME
Analytical Chemistry
Drug Design
Drug Discovery Process
Drug Metabolism
Drug Research
Drug Target Identification
Metabolism
PBPK Modeling
Pharmaceutical Products
Pharmacokinetics
Pharmacology
Pharmacovigilance
Target Research

Education

Master's degree
PhD

Tools

Simcyp
GastroPlus
Phoenix WinNonLin
R
Python

Job description

ViiV Healthcare seeks a Scientific Leader in Pre-clinical DMPK Drug Discovery Modeling to lead translational modeling efforts in HIV programs. You will build PBPK/IVIVE models, translate complex data into actionable insights for discovery teams, and develop computational workflows across diverse modalities and delivery routes.

The role emphasizes cross-functional collaboration, governance of modeling standards, and contribution to regulatory documents and scientific publications.

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