Description
ViiV Healthcare, a global specialty HIV company, is seeking a Scientific Leader, Pre-clinical DMPK Drug Discovery Modeling. This role will drive model-informed drug discovery across ViiV's Drug Discovery organization by developing and applying fit-for-purpose modeling and simulation approaches.
The successful candidate will serve in a matrix leadership role, partnering 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.
Responsibilities:
- Develop and apply fit-for-purpose mechanistic and translational models (PBPK, IVIVE, PK/PD) to guide drug discovery teams toward the highest-quality clinical candidates
- Translate complex ADME, PK, PD, and translational data into actionable insights for project teams and senior leadership
- Apply modeling expertise across diverse modalities, formulations, and routes of administration, including long-acting therapies
- Build scalable computational tools, workflows, and prototypes that accelerate discovery decisions and candidate optimization
- Establish best practices, standards, and governance for modeling methodologies, tools, and computational workflows
- Contribute to scientific publications, regulatory submissions, and other technical documentation, and represent ViiV externally through regulatory interactions and scientific thought leadership
Requirements:
- Master's degree with 7 or more years of post-graduate experience, or a PhD with 4 or more years of post-graduate experience, supporting drug discovery programs from lead optimization to Phase I clinical studies
- Strong understanding of ADME principles and integration of standard DMPK workflows and data streams into empirical and mechanistic modeling and simulation approaches
- Demonstrated ability to apply modeling and simulation approaches to influence key drug discovery decisions
- Broad computational programming expertise in programming and modeling languages (e.g., R, Python) and modeling platforms (e.g., Simcyp, GastroPlus)
- Experience integrating diverse datasets into unified predictive modeling platforms
- Ability to interpret and communicate modeling results to cross-functional teams
Preferred Qualifications:
- PhD with 6 or more years of drug discovery experience in DMPK or a related discipline
- Demonstrated experience developing and applying modeling and simulation strategies across diverse modalities and routes of administration
- Experience working across teams, including matrix and functional leadership
- Excellent written, verbal, and presentation skills
- Experience in infectious disease and/or immunology therapeutic areas
Benefits:
- Annual base salary ranging from $141,075 to $235,125
- Annual bonus and eligibility to participate in share-based long-term incentive program
- Health care and other insurance benefits
- Retirement benefits
- Paid holidays, vacation, and paid caregiver/parental and medical leave