AI-Driven DMPK & Modeling Lead for AIRx Programs

Takeda; Boston (MA); On-site; USD 212,000 - 333,000; Full time

Job summary

Takeda Research in Boston, MA seeks an experienced DMPK & Modeling Lead to shape quantitative strategy across AIRx programs. You will drive PK/PD, ADME modeling, and AI-enabled DMTA cycles, directing CRO partners and translating preclinical data into translational decisions.

The role requires a PhD with 12–15+ years in pharmaceutical DMPK and modeling, plus strong cross-functional leadership across chemistry, biology, safety, clinical pharmacology, and data science.

Qualifications

• PhD degree with 12–15+ years in pharmaceutical DMPK and modeling.
• Proven contributions to IND filings; experience supporting IND-enabling DMPK packages.
• Experience designing and managing external CRO DMPK programs; ability to oversee studies and interpret data.
• Ability to connect DMPK to clinical hypothesis and translational strategy.

Responsibilities

• Portfolio‑level impact across AIRx programs.
• Lead quantitative strategy and decision making for DMPK, PK/PD, and modeling.
• Embed DMPK in AI-enabled DMTA cycles with data integration across ADME, PK, PBPK, and QSP models.
• Oversee CRO-based DMPK and modeling activities with high-quality data packages.

Skills

ADME

PK/PD

Mechanistic modeling

AI/ML data integration

Education

PhD in relevant scientific discipline

Job description

Takeda Research in Boston, MA seeks an experienced DMPK & Modeling Lead to shape quantitative strategy across AIRx programs. You will drive PK/PD, ADME modeling, and AI-enabled DMTA cycles, directing CRO partners and translating preclinical data into translational decisions.

The role requires a PhD with 12–15+ years in pharmaceutical DMPK and modeling, plus strong cross-functional leadership across chemistry, biology, safety, clinical pharmacology, and data science.