Associate Director, AI/ML (Biologics)

Role: Associate Director, AI/ML in Large Molecule Drug Discovery at Takeda, focusing on biologics such as antibodies, bispecifics, ADCs, and fusion proteins. Responsibilities: develop and deploy advanced AI/ML models for biologics design, optimization, and developability engineering; integrate computational methods with experimental data; and serve as a strategic AI/ML partner across discovery programs. Requirements: PhD with 6+ years or equivalent experience in computational biology, machine learning, or related fields; proven expertise in ML modeling for biological data, protein structure/sequence analysis, and programming (Python); experience with cloud platforms and data management. Preferred: experience with modern ML architectures (e.g., GNNs, diffusion models), de novo binder design, NGS data analysis, and molecular simulation. High-value: biologics modalities, antibody design, multi-objective optimization, integrated data cycles, AI/ML application in early drug discovery stages. Location: Cambridge, MA, full-time, on-site. The role involves cross-functional collaboration with biology, CMC, and program teams, with a focus on impactful AI/ML solutions in biologics discovery.