AIRx Director, Computational & AI Biologics Design Lead

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

-------------------

Director, Computational & AI Biologics Design Lead

Takeda Research is constructing a Lab of Tomorrow built on AI, automation, new ways of working, and talent with the singular vision of delivering differentiated medicines to the clinic at speed and cost. To catalyze these efforts, Takeda is creating two complementary units: AI Research Accelerator (AIRx) and Discovery Automation & Robotics (DAR).

AIRx will have a group of a dedicated group of experienced biologic drug hunters with the autonomy of a biotech and the resources of a leading pharmaceutical company. It is designed to incubate the future AI-powered operating models for large molecule discovery and deliver candidates to the clinic at industry leading speed and success rates.

Purpose

Reporting to the Head of AIRx, the Computational & AI Biologics Design Lead sits at the scientific heart of the Takeda Boston (TBOS) Large Molecule Pod. As part of the AIRx team, this role serves as a strategic computational leader, driving in silico biologics design and shaping how AI-enabled biologics discovery is executed for select programs. This role drives in silico biologics design, applies generative AI and structure-informed methods to antibody and large-molecule programs, and connects Takeda’s internal AI/ML platform capabilities to the day-to-day decisions of a fast-moving drug-hunting team.

In addition, the role defines decision frameworks and scientific standards that influence candidate prioritization, progression, and overall portfolio direction. Proposals from this role directly shape what gets engineered...