Head, AIRx Biologics Discovery

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 About 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 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 As the Head of AIRx Biologics Discovery, you will lead the end-to-end biologics discovery from lead generation, optimization to final candidate selection 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 with state of Art platforms, and a direct line to governance: this is the environment elite biologic drug hunters have been waiting for. You will work with highly experienced leaders with proven track record of delivering multiple large molecule INDs, top computational protein scientists, AI/ML specialists, CMC partners and translational biology experts in a model where the science, not the governance calendar, drives the pace and progress. This is a role for a leader who knows how to deliver speed and innovation integrating AI/ML based biologics  discovery, automated high throughput platforms with deep understanding of CMC as well as pharmacology of biologics drugs. A proven track record of leading at least 2 biologic discovery programs to clinic is required. Key Accountabilities Lead Biologics Discovery: Drive biologics discovery for multiple programs from target and modality selection through candidate nomination, preclinical development transition, and IND filing Discovery strategy and implementation: Establish and execute discovery strategies across antibodies, bispecifics, fusion proteins, and emerging modalities with clear CMC and clinical line-of-sight Integrate AI and automation: Embed AI-driven protein design, computational modeling, and high-throughput experimental platforms to accelerate cycle times and improve design quality Enable decision-making: Evaluate and prioritize biologic candidates based on scientific, clinical, CMC, and commercial considerations; balance potency, selectivity, half-life, immunogenicity risk, and expression yield in go/no-go decisions Optimize molecules: Lead sequence optimization, affinity maturation, Fc engineering, and developability optimization through integrated computational and experimental approaches Manage external execution: Oversee CROs/CDMOs to ensure delivery of high-quality, decision-ready data on aggressive timelines External engagement: Represent AIRx externally; assess platform technologies, novel modalities, and serve as BD subject matter expert evaluating external assets Portfolio impact: Deliver biologics discovery with disciplined cost stewardship while contributing to a sustainable pipeline of biologics INDs Qualifications & Competencies Advanced degree in protein biochemistry, structural biology, molecular biology, immunology, or related life sciences (PhD, MD, or DVM); PhD strongly preferred 15+ years of industry experience with deep subject matter expertise in biologic drug discovery; at least 10 years in scientific leadership roles within large molecule programs Proven track record leading 5+ biologic programs across discovery from target inception to Candidate Nomination or beyond; minimum 2 biologic INDs required (antibody, bispecific, or fusion protein programs preferred) Deep knowledge of the biologic drug discovery and development process: target identification, discovery campaign strategies (yeast display, hybridoma, single B cell), lead optimization, developability assessment, and IND-enabling CMC and toxicology activities Strong expertise in protein engineering principles: affinity maturation, CDR optimization, Fc engineering, bispecific/multispecific antibody formats, linker design, and fusion protein architecture Strong AI/ML fluency and digital-forward scientific mindset; hands-on experience integrating generative protein design tools and ML-guided sequence optimization into biologics discovery workflows Solid understanding of large molecule DMPK: FcRn-mediated recycling, half-life extension strategies, subcutaneous absorption, immunogenicity risk assessment, and PK/PD modeling for dose projection Strong understanding of biologic CMC considerations: expression systems (CHO, HEK), purification, analytical characterization, developability studies and early formulation development as inputs to candidate selection Excellent and inclusive leadership; able to inspire cross-functional protein engineering, biology, and translational teams towards ambitious goals Exceptional communication skills; able to convey complex large molecule science to senior governance audiences and distill developability trade-offs into clear strategic recommendations Demonstrated success of strategic partnerships with CRO and CDMOs for biologics; strong business acumen including regulatory (BLA/MAA pathway) and commercial awareness Additional Information The position will be based in Cambridge, MA. This position is currently classified as “hybrid” by Takeda’s Hybrid and Remote Wor