TTakeda logo

Takeda

Pharmaceutical Manufacturing · 37k people

Director, Head of Biopharmaceutics Predictive Modeling - Oral Drug Product

Posted 12 Oct

What’s this role about? Provides strategic and operational leadership for the Predictive Modeling and Biopharmaceutics function to align capabilities with drug development objectives. Leads the development of predictive strategies and manages a high-performing team to drive excellence in formulation design and product performance evaluation.

Boston, Massachusetts
On-site
$177K – $278K
Full-time
10+ years exp
Bachelor degree or Postgraduate degree

Skills required

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Company

About Takeda We all want a healthier future. Takeda believes that achieving one requires bold reinvention grounded in long-term vision.

Takeda

Better Health, Brighter Future

PharmaceuticalsTherapeuticsOncologyGastroenterologyand Vaccines
TTakeda logo
10,001+ employees
Pharmaceutical Manufacturing
1781
Public Company
1.8M LinkedIn followers
Raised $2.5B

Responsibilities

  • Predictive Modeling function, with a focus on mechanistic biopharmaceutics,
  • PBPK/PBBM, and model-informed drug development to support oral drug product
  • development and portfolio objectives.
  • Builds and develops a high-performing team of biopharmaceutics and modeling
  • scientists who work across the Oral Drug Product organization to integrate
  • mechanistic understanding, computational modeling, and experimental data into
  • development strategies.
  • Leads the development and implementation of biopharmaceutics and predictive
  • modeling strategies to inform API and formulation selection, oral dosage form
  • design, dissolution performance, dose selection, and clinical development
  • decisions across the product lifecycle.
  • Directs the application of physiologically based pharmacokinetic (PBPK),
  • physiologically based biopharmaceutics modeling (PBBM), mechanistic absorption
  • modeling, and dissolution–absorption modeling to predict drug product
  • performance, systemic exposure, and clinical pharmacokinetic outcomes.
  • Oversees the integration of API physicochemical properties, solubility,
  • permeability, dissolution, precipitation, supersaturation, gastrointestinal
  • physiology, and formulation characteristics to understand and predict the impact
  • of drug product attributes on absorption and bioavailability.
  • Provides scientific and organizational leadership in model-informed drug
  • development, including PBPK/PBBM, mechanistic oral absorption, food-effect
  • prediction, relative bioavailability, exposure prediction, in vitro–in vivo
  • correlation (IVIVC), and in vitro–in vivo relationship (IVIVR) development.
  • Works closely with the formulation scientists and project teams to evaluate
  • formulation and process changes, support clinical bridging, assess
  • biopharmaceutics risk, and inform decisions related to formulation selection,
  • dose and dosage form optimization, and product lifecycle management.
  • Partners with key CMC stakeholders (formulation development, analytical
  • sciences, clinical pharmacology, drug metabolism and pharmacokinetics (DMPK),
  • regulatory) to integrate modeling and biopharmaceutics assessments into
  • development plans and program decisions.
  • Directs the preparation and scientific justification of biopharmaceutics and
  • modeling contributions to regulatory submissions and health authority
  • interactions, including model qualification, verification, sensitivity analysis,
  • uncertainty assessment, and model credibility.
  • Establishes functional strategy, scientific standards, best practices, and
  • governance for biopharmaceutics modeling and simulation across oral drug product
  • development, ensuring fit-for-purpose model application and appropriate
  • integration of experimental and clinical evidence.
  • Builds organizational capability through training, talent development,
  • resource planning, external partnerships, and continuous advancement of
  • mechanistic modeling and biopharmaceutics capabilities.
  • Drives innovation in predictive biopharmaceutics to improve the probability of
  • clinical success, reduce development uncertainty, accelerate formulation and
  • clinical decisions, and enable more efficient development of oral drug products.
  • Deep expertise in oral biopharmaceutics, pharmaceutical development,
  • mechanistic absorption, PBPK/PBBM, and model-informed drug development, with a
  • demonstrated record of applying these approaches to pharmaceutical development
  • decisions.
  • properties, formulation design, dissolution and solubilization, gastrointestinal
  • physiology, absorption, and systemic exposure.
  • Demonstrated expertise in developing, applying, interpreting, and evaluating
  • mechanistic models to predict oral drug product performance and clinical
  • pharmacokinetics, including scenarios involving poorly soluble compounds,
  • modified-release drug products, food effects, and formulation changes.
  • Ability to integrate in vitro dissolution and biopharmaceutics data,
  • preclinical and clinical pharmacokinetics, and mechanistic model outputs to
  • inform formulation strategy, clinical study design, and regulatory decisions.
  • Proven ability to lead programs and cross-functional initiatives within a
  • complex global development organization, aligning scientific priorities,
  • resources, timelines, and portfolio objectives.
  • biopharmaceutics predictive modeling scientists responsible for advancing the
  • Pharmaceutical Sciences in silico modeling strategy for Oral Drug Product
  • Development.
  • biopharmaceutics, PBPK/PBBM, oral absorption, and prediction of clinical drug
  • product performance.
  • Influences scientific and development strategy through recognized expertise,
  • effective cross-functional partnerships, and the ability to translate complex
  • modeling outputs into actionable development recommendations.
  • Mobilizes and leads cross-functional teams across multiple programs, driving
  • alignment, accountability, scientific rigor, and disciplined execution.
  • Champions inclusive leadership, talent development, succession planning, and
  • continuous capability building.
  • strategies, scientific plans, resource requirements, and external partnerships
  • within established governance.
  • Makes and communicates risk-based recommendations on formulation selection,
  • biopharmaceutics risk, clinical bridging, food-effect assessment, dose and
  • dosage form optimization, and development strategy.
  • Uses model-informed assessments to evaluate competing development options,
  • identify critical uncertainties, prioritize experiments, and guide decisions
  • affecting scope, budget, timeline, and product quality.
  • Establishes appropriate standards for model applicability, verification,
  • qualification, sensitivity analysis, and uncertainty assessment, ensuring that
  • conclusions are proportionate to the available evidence and intended regulatory
  • use.
  • Partners with Oral Drug Product function heads and teams, Pharmaceutical
  • Sciences, analytical development, clinical pharmacology, DMPK, regulatory
  • affairs, quality, and other CMC stakeholders to develop integrated,
  • model-informed strategies.
  • preclinical and clinical PK data, characterize absorption and exposure, and
  • refine mechanistic predictions.
  • Leads technical interactions with external modeling experts, consultants,
  • software providers, academic groups, and development partners.
  • procurement, legal, and relevant governance functions.
  • Evaluates and implements emerging PBPK/PBBM methods, mechanistic absorption
  • approaches, and model-informed development strategies relevant to oral drug
  • products.
  • Advances the use of predictive biopharmaceutics to support early formulation
  • selection, reduce unnecessary experimentation, optimize clinical study design,
  • and improve development efficiency.
  • Promotes integration of experimental, preclinical, clinical, and modeling
  • evidence to address complex development questions and improve the quality of
  • scientific decisions.
  • Shares knowledge and best practices across the organization through technical
  • reviews, case studies, mentoring, and cross-functional scientific forums.
  • interdependent challenges in oral drug absorption, formulation performance,
  • clinical pharmacokinetics, and drug product development.
  • Integrates diverse datasets and scientific disciplines to address variability
  • in solubility, dissolution, precipitation, gastrointestinal transit,
  • permeability, food effects, and systemic exposure.
  • mechanistic modeling appropriately across discovery, preclinical, clinical,
  • registration, and lifecycle stages.
  • Balances scientific uncertainty, model limitations, experimental requirements,
  • clinical risk, regulatory expectations, and portfolio priorities to support
  • timely, evidence-based decisions.

Qualification

Science & ResearchHealthcareManagement & LeadershipEngineering
  • PhD in Pharmaceutics, Pharmaceutical Sciences, Biopharmaceutics,
  • Pharmaceutical Engineering, Pharmacokinetics, or a related scientific
  • discipline, with 8–10+ years of relevant industry experience; alternatively, a
  • master’s degree with 10–14+ years or a bachelor’s degree with 15–18+ years of
  • relevant experience.
  • Extensive pharmaceutical or biopharmaceutical industry experience, including
  • progressive leadership responsibility in oral drug product development,
  • biopharmaceutics modeling and simulation, and CMC strategy.
  • Demonstrated expertise in PBPK/PBBM and mechanistic oral absorption modeling,
  • including application to formulation development, dissolution and
  • solubilization, bioavailability, food effects, exposure prediction, and
  • model-informed drug development.
  • Strong understanding of oral biopharmaceutics, including API solubility and
  • permeability, dissolution, precipitation, supersaturation, gastrointestinal
  • physiology, absorption mechanisms, and the influence of formulation and dosage
  • form characteristics on clinical performance.
  • Proven experience integrating in vitro dissolution and biopharmaceutics data
  • with preclinical and clinical pharmacokinetic data to develop, refine, and apply
  • mechanistic models for development decision-making.
  • Experience applying IVIVC/IVIVR and related approaches to evaluate formulation
  • performance, support clinical bridging, assess formulation or manufacturing
  • changes, and establish relationships between in vitro performance and in vivo
  • exposure.
  • interactions, including the preparation and defense of model-informed
  • biopharmaceutics assessments and scientific justifications.
  • Demonstrated understanding of model development, verification, qualification,
  • sensitivity analysis, uncertainty assessment, and model credibility, with the
  • ability to determine when modeling is appropriate to support a particular
  • development or regulatory decision.
  • Proven ability to lead and develop high-performing scientific teams, including
  • talent development, coaching, succession planning, and functional capability
  • building.
  • Strong cross-functional leadership and collaboration skills, with the ability
  • to influence formulation, analytical, clinical pharmacology, DMPK, regulatory,
  • and CMC stakeholders.
  • Excellent communication and strategic thinking skills, including the ability
  • to translate complex mechanistic modeling results into clear, actionable
  • recommendations for senior leaders, project teams, and regulatory audiences.
  • decision-making capabilities, with the ability to balance scientific rigor,
  • business priorities, development risk, and portfolio needs.
  • High learning agility, adaptability, and commitment to continuous improvement,
  • with the ability to build organizational capability and foster collaboration,
  • accountability, and inclusion.

Benefits

  • We understand compensation is an important factor as you consider the next step
  • in your career. We are committed to equitable pay for all employees, and we
  • strive to be more transparent with our pay practices.
  • $177,000.00 - $278,080.00
  • The estimated salary range reflects an anticipated range for this position. The
  • actual base salary offered may depend on a variety of factors, including the
  • qualifications of the individual applicant for the position, years of relevant
  • experience, specific and unique skills, level of education attained,
  • certifications or other professional licenses held, and the location in which
  • the applicant lives and/or from which they will be performing the job. The
  • actual base salary offered will be in accordance with state or local minimum
  • wage requirements for the job location.

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