Director, Head of Predictive Modelling & Biopharmaceutics

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Builds and develop a high performing predictive modelling and biopharmaceutics team which works across the whole Oral Drug Product Development organization to drive modelling excellence and execution Leads the development and implementation of predictive modelling and biopharmaceutics strategies to support formulation design, dosage form selection, and product performance evaluation across development stages. Ensures the effective application of modelling and simulation approaches to assess biopharmaceutics risks, including absorption, dissolution, bioavailability, and in vivo performance. Oversees the generation, interpretation, and integration of biopharmaceutics data to enable scientifically sound and timely development decisions. Provides scientific and organizational leadership in predictive sciences , including PBPK/PBBM, absorption modelling, IVIVC/IVIVR, and related methodologies, to strengthen development outcomes and decision quality. Partners with cross-functional stakeholders across formulation, analytical, clinical pharmacology, regulatory, and CMC disciplines to incorporate predictive and biopharmaceutics strategies into program plans. Directs the contribution of predictive modelling and biopharmaceutics expertise to regulatory strategies and submissions , ensuring scientific rigor and alignment with applicable regulatory expectations. Builds and maintains organizational capability through talent development, resource planning, and leadership of a high-performing scientific team. Establishes standards, processes, and best practices for the use of predictive modelling and biopharmaceutics approaches within drug product development. Drives innovation and continuous improvement in predictive sciences to enhance efficiency, reduce development risk, and support successful product advancement. DIMENSIONS AND ASPECTS: Technical/Functional (Line) Expertise Deep expertise in pharmaceutical development, predictive modelling and biopharmaceutics. Proven track record of successful application of mechanistic and PPBM modelling in drug development. Ability to work in a global ecosystem (internal and external) with a high degree of complexity and address the challenge with enterprise level perspective. Ability to lead/coordinate pipeline program and cross-functional initiative by mutually aligning different constraints and priorities with relevant stakeholder Leadership Hires and mentors a group of predictive modelling scientists and engineers to execute Pharmaceutical Sciences in silico Modelling strategy for the oral drug product development department (ODPD). Influences direction through recognized expertise and strong cross-functional partnerships. Mobilizes and leads high-performing, cross-functional teams across multiple programs; driving alignment and disciplined execution. Champions change and inclusive leadership; develops the immediate team through coaching, mentoring, feedback, and deliberate skill building.  Decision-making and Autonomy Operates with high autonomy and accountability to execute portfolio/program approaches, scientific plans, resourcing proposals, and partner models within agreed governance. Makes complex, risk-based decisions (or recommendations) on development approach, critical-path trade-offs, and mitigation actions across scope, budget, timeline, and quality; escalates appropriately and ensures decisions are documented and communicated. Anticipates program and capability needs and initiates actions to close gaps with minimal oversight.  Interaction Primary internal partners include other ODPD function heads and department members, other Pharmaceutical Sciences department stakeholders in AD and SMPD, Clinical Pharmacology and Drug metabolism (DMPK) Leads/Managers; Global Regulatory; quality; procurement/supplier management; and clinical biomarker development functions. Leads external technical interactions with consultants and development partners; supports contracting and governance interactions in partnership with legal and procurement.  Innovation Explores and evaluates emerging predictive modelling and biopharmaceutics technologies; proposes creative solutions to meet stakeholder needs and program constraints. Shares knowledge across the organization through technical reviews, best practices, and mentoring; encourages disciplined experimentation through prototyping and feasibility assessment.  Complexity Manages team across multiple interdependent workstreams spanning device development, patient testing services, and clinical research support across a global matrix. Navigates diverse external ecosystems (partners, suppliers, regulators) and varying regional regulatory pathways; balances speed, cost, quality and patient impact while operating under strict compliance and design control expectations.  EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: PhD in Chemistry, Pharmaceutics, Mathematics, Statistics, Engineering or related pharmaceutical science and 8-10+ years relevant industry experience   Master’s degree in Chemistry, Pharmacy, Mathematics, Statistics, Engineering or related pharmaceutical science and 10-14+ years relevant industry experience   Bachelor’s degree in Chemistry, biology, pharmacy, engineering or related pharmaceutical science and 15-18+ years relevant industry experi