Provide strategic leadership for the Pharmacometrics group within Quantitative Pharmacology and Pharmacometrics (QP2) to drive model-informed drug discovery and development (MIDD).
Guide and direct a team of approximately 5–6 pharmacometricians to achieve results on major program drivers.
Identify and implement novel quantitative approaches (comparator modeling, clinical trial simulations, quantitative systems pharmacology, disease progression models, AI and machine learning methods) to improve cycle time, cost/size and number of trials.
Drive implementation of tools and regulatory frameworks to support rapid approvals and Go/No Go decisions.
Foster collaboration within QP2, remove barriers on portfolio or scientific priorities, and initiate/manage external collaborations and external outreach to the scientific pharmacometrics community.
Evaluate and maintain quality systems and IT infrastructure to support emerging capabilities.
Responsible for priority-setting, performance management, hiring, retention, and talent development for direct reports.
Apply traditional and state-of-the-art pharmacometric approaches across portfolio from discovery through life-cycle management.
Requirements
Ph.D. or equivalent degree with 7+ years OR PharmD or equivalent degree with 9+ years OR MS or equivalent degree with 11+ years of experience (record of increasing responsibility and independence in pharmaceutical drug development or academia).
Educational background in pharmacometrics, pharmaceutical sciences, mathematics, statistics/biostatistics, computational biology/chemistry, chemical/biomedical engineering, or related field.
Deep expertise in pharmacometrics (population PK and PK/PD analyses, model-based meta-analysis, dose-response and exposure-response analyses, disease modeling, trial simulation, optimal study designs, strategic decision analyses, economic modeling, AI algorithms, machine learning methods).
Deep knowledge of drug development, pharmacokinetics and pharmacology and basic science skills.
Extensive experience developing quantitative strategies to impact pipeline decisions (preferred).
Drug development and regulatory experience across therapeutic areas.
Good interpersonal and communication skills.
Required skills listed include Clinical Trial Designs, Data Analysis, Data Modeling, Data Visualization, Disease Models, Dose Response Analysis, Drug Development, Drug Discovery Process, In Vivo Disease Models, Leadership, Machine Learning, Modeling Software, Multiple Therapeutic Areas, Pharmaceutical Development, Pharmaceutical Sciences, Pharmacokinetics, Pharmacology, Pharmacometrics, PKPD Modeling, Population Pharmacokinetics, Portfolio Management, Regulatory Applications, Software Development, Stakeholder Relationship Management.
US and Puerto Rico residents only.
Benefits
Eligible for annual bonus and long-term incentive, if applicable.
Medical, dental, vision and other healthcare insurance benefits (for employee and family).
Retirement benefits, including 401(k).
Paid holidays, vacation, and compassionate and sick days.
Hybrid work model (U.S.: three on-site days per week, Friday remote) and flexible work arrangements.
Domestic relocation.
VISA sponsorship available.
Travel requirement approximately 10%.
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