Head of AI/ML Therapeutic Design

Company Description  

Metaphore Biotechnologies is a Flagship Pioneering-founded company focused on creating a new class of functional biological therapeutics. We are pioneering the power of function-first AI drug design and high-throughput data assays to make previously intractable drug targets accessible and unlock breakthroughs that outperform today's drugs for maximum patient impact. 

Our computationally driven MIMIC™ platform is the world's first structure-independent sequence-to-function platform for protein design. Inspired by nature, our mission is to transform patient lives by unlocking the power of biological therapeutics with a new mimic-discovery platform. 

Role Summary  

Metaphore is seeking an exceptional, execution-driven scientist and leader to serve as Head of AI/ML Therapeutic Design, driving the next frontier of AI-powered biologics. In this role, you will define the vision and long-term strategy for Metaphore’s AI/ML platform while leading a team of experts to build a scalable, high‑performance AI/ML engine. Working closely with cross-functional drug discovery teams, you and your team will translate advances in AI/ML into impactful therapies by delivering actionable molecule candidates. As a key member of the R&D leadership team, you will shape how AI/ML transforms every stage of our drug discovery process—from high-throughput assay design and novel therapeutic generation to lead optimization and candidate nomination. This role offers a unique opportunity to drive our integrated discovery platform end-to-end and help bring transformative therapeutics from concept to clinic. 
 

Key Responsibilities 

• Scientific & Technical Leadership: Deploy state-of-the-art generative models for de novo protein design, and molecule screening, and optimization, focusing on timely drug discovery impact. Architect and train new models with a clear path towards program impact and differentiation. 

• Strategic Vision: Define the AI strategy and deployment for Metaphore. Oversee at-scale compute infrastructure and propose collaborative data acquisition strategies to continuously train, evaluate, and optimize our models while optimizing costs and program impact. 

• Team Building & Mentorship: Recruit, mentor, and lead a multidisciplinary team of computational scientists. Foster a culture of engineering rigor, scientific curiosity, and bold, tech-first innovation. Act as a senior hands-on mentor to nurture and grow the team. 

• Platform Operations & LDBT Loop: Partner deeply with our Discovery as well as Biologics & Enabling Technologies teams to seamlessly integrate high-throughput laboratory data into model training, accelerating the Learn-Design-Build-Test (LDBT) loop to an industrial scale. Consistently demonstrate rapid learning and iterative improvements to our AI/ML platform across stakeholders. 

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