Overview

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.If you are considering sending an application, make sure to hit the apply button below after reading through the entire description.Job DescriptionAbout the role: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 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.Objective:As AIRx Biologics Program Lead, you will own the end-to-end scientific and strategic direction of 2-3 large molecule discovery programs within a unit deliberately designed to remove the structural overhead that slows programs down in large pharma. AI-enabled protein design, internal or externalized wet lab execution, and a direct line to governance: this is the environment elite biologic drug hunters have been waiting for.You will work alongside top computational protein scientists, AI/ML specialists, protein structure and translational biology experts in a model where the science, not the governance calendar, drives the pace and progress. Programs here move because the structure is built for speed. Your job is to make sure that speed produces the right medicines.A proven track record of leading at least 3 biologic discovery programs to clinic is required.AccountabilitiesLead and manage multiple biologic drug discovery projects in an AI-forward manner with urgency; oversee the entire discovery process from modality selection through preclinical development and IND filingDefine, articulate, and evolve the program strategy for antibody, bispecific, fusion protein, or other large molecule modalities; build the medicine vision and early asset strategy including developability and manufacturability considerationsEvaluate and prioritize biologic candidates based on scientific, clinical, CMC, and commercial considerations; balance potency, selectivity, half-life, immunogenicity risk, protein stability and expression yield in go/no-go decisionsLead and enable rapid, AI-enabled Design and Test cycles for protein engineering; ensure generative protein design and structure-prediction outputs are translated into clear experimental recommendations and fast, decisive go/no-go outcomesDrive sequence optimization, affinity maturation, Fc engineering, and formulation-ready candidate selection using integrated computational and experimental platformsPartner with Clinical and Translational teams to refine asset strategy; ensure clinical line of sight from early discovery including patient selection, biomarker strategy, and dose projection from PK/PD modelingManage external CROs and CDMOs providing protein expression, purification, in vitro pharmacology, and GLP toxicology services; ensure timelines are met and data is decision-readyRepresent Takeda externally for AIRx Biologics; evaluate external opportunities including platform technologies, novel modalities, and in-licensing candidates; serve as BD ambassadorEnsure programs are delivered at pace with disciplined cost stewardship, contributing to a sustainable, high-quality pipeline of biologic INDs and informing broader portfolio strategyQualifications & Competencies:Advanced degree in protein biochemistry, structura