Senior DMPK & Modeling Lead, AIRx — AI-Powered PK/PD

USA - 3316 Takeda Development Center Americas, Inc.

Cambridge (MA)

On-site

USD 212,000 - 333,000

Full time

14 days+
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Job summary

Takeda Research in Boston, MA seeks an AIRx DMPK & Modeling Lead to define quantitative DMPK, PK/PD, and modeling strategies across AIRx programs and connect preclinical data to clinical hypotheses. This role anchors AI-enabled DMTA cycles, integrating in vitro/in vivo ADME, PK, PBPK, and mechanistic models with AI/ML predictions, while directing CRO-based DMPK work with speed and rigor.

You will lead cross-functional teams across chemistry, biology, safety, and data science, ensuring

Qualifications

  • PhD with 12–15+ years in pharmaceutical DMPK and modeling.
  • Proven contributions to IND filings and IND-enabling DMPK packages.
  • Experience designing and managing external CRO DMPK programs.
  • Ability to connect DMPK to clinical hypothesis and translational strategy.
  • AI/ML data integration experience with large multi-source datasets.

Responsibilities

  • Owns the DMPK, PK/PD, and modeling strategy across the AIRx portfolio.
  • Drive model-informed decision making for target, modality, and candidate progression.
  • Embed DMPK and modeling into AI-enabled DMTA cycles, ensuring rapid iteration and learnings.
  • Lead CRO-based DMPK and modeling activities with speed and rigor.
  • Ensure high-quality, reproducible, and interpretable data packages.

Skills

DMPK modeling
ADME
PK/PD
AI/ML data integration
Cross-functional leadership

Education

PhD in a relevant scientific discipline

Job description

Takeda Research in Boston, MA seeks an AIRx DMPK & Modeling Lead to define quantitative DMPK, PK/PD, and modeling strategies across AIRx programs and connect preclinical data to clinical hypotheses. This role anchors AI-enabled DMTA cycles, integrating in vitro/in vivo ADME, PK, PBPK, and mechanistic models with AI/ML predictions, while directing CRO-based DMPK work with speed and rigor.

You will lead cross-functional teams across chemistry, biology, safety, and data science, ensuring

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