Head of Biologics Engineering Generation Platform Innovation
Job in
Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for:
USA - 3316 Takeda Development Center Americas, Inc.
Full Time
position
Listed on 2026-10-04
Job specializations:
-
Research/Development
Biotech Research, Research Scientist, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 212000 - 333000 USD Yearly
USD
212000.00
333000.00
YEAR
Job Description & How to Apply Below
We are seeking an exceptional scientific leader to join the Global Biologics Leadership Team as Head of Biologics Engineering & Next-Generation Platform Innovation. This leader will define and execute the strategy for next-generation biologics beyond conventional monoclonal antibodies, while driving programs from early discovery through candidate selection and IND-enabling development. They will combine deep expertise in biologics discovery, engineering, and translational science with emerging capabilities in AI-driven design, computational biology, and automated experimentation to build a differentiated and sustainable innovation engine.
The successful candidate will bring a strong Drug Hunter mindset, a track record of delivering impactful pipeline assets, and the vision to create platform capabilities that accelerate the discovery of transformative medicines. They will be responsible for advancing both near-term program value and long-term technology leadership while developing the next generation of biologics scientists and leaders.
Key Responsibilities Define and Lead the Next Generation of Biologics Innovation Establish the scientific vision, strategy, and portfolio framework for biologics beyond traditional monoclonal antibodies, including multispecific, conditionally active, multi functional and highly developable emerging biologic modalities. Build a differentiated platform strategy spanning molecule design, engineering, develop ability, manufacturability, translational science, and clinical application. Identify and evaluate transformative technologies, external partnerships, licensing opportunities, and strategic collaborations.
Serve as a senior scientific leader and trusted advisor to executive leadership, governance committees, and the external scientific community.Deliver High-Impact Programs from Discovery to IND Lead biologics programs from target validation through lead optimization, candidate nomination, and IND-enabling development. Drive rigorous, data-driven decision making across targets, modalities, molecules, and portfolios. Integrate expertise across discovery biology, protein engineering, translational medicine, DMPK, safety, CMC, regulatory, and clinical development. Ensure programs are grounded in strong human biology, clear differentiation, robust develop ability, and a compelling probability of technical and clinical success.
Balance scientific ambition, portfolio prioritization, risk management, resource investment, and executional excellence.Build a World-Class Multispecific Biologics Platform Create a scalable discovery and engineering platform capable of generating differentiated multispecific biologics with superior pharmacological and translational properties. Advance next-generation design approaches through the integration of protein engineering, structural biology, computational design, AI-enabled molecule generation, and advanced screening technologies. Establish design principles that optimize potency, specificity, conditional activity, tissue selectivity, manufacturability, and therapeutic index.
Translate platform innovation into measurable gains in speed, quality, differentiation, and pipeline productivity.Establish an AI- and Automation-Enabled Biologics Engineering Engine Partnering with external and Takeda AI leaders, build a computational prediction driven, display technology enabled lead optimization and engineering workflow to convert early biologics lead molecules to transformative lead candidates. Drive adoption of automation, robotics, high-throughput experimentation, modern laboratory informatics, and closed-loop discovery systems. Develop an enterprise knowledge framework that enables biological, experimental, clinical, and…
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