Member of Technical Staff, Vibe Labs

Generate Biomedicines • Somerville, MA

1d

About The Position

Generate Vibe Labs is a frontier lab within Generate:Biomedicines , designed for focused, entrepreneurial teams pushing the edges of generative biology, AI, and therapeutic engineering to create new capabilities in sync with the Generate Platform . Vibe Labs operates like a startup at the edge of the platform, small, experimental, and fast-moving, designed for builders who thrive in ambiguity and want to turn bold scientific ideas into high-impact medicines and technologies. The Role: As a Member of Technical Staff, you will work hands-on to build AI systems that support scientific discovery. You will contribute to the development of autonomous and semi-autonomous AI tools that generate molecular designs, propose hypotheses, interact with experimental data, and improve through experimental feedback. You’ll collaborate closely with fellow scientists, engineers, and experimental teams to prototype and iterate on agent-based systems, helping translate scientific problems into AI discovery pipelines. If you’re excited about applying AI to real scientific questions - and orchestrating models to scale up the ideation, design, and verification cycle in meaningful ways - this role offers the opportunity to grow at the frontier of AI x science. Generate:Biomedicines is a new kind of therapeutics company – existing at the intersection of machine learning, biological engineering, and medicine – pioneering Generative Biology™ to create breakthrough medicines where novel therapeutics are computationally generated, instead of being discovered. The Company has built a machine learning-powered biomedicines platform with the potential to generate new drugs across a wide range of biologic modalities. This platform represents a potentially fundamental shift in what is possible in the field of biotherapeutic development. We pursue this audacious vision because we believe in the unique and revolutionary power of generative biology to radically transform the lives of billions, with an outsized opportunity for patients in need. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us! Generate:Biomedicines was founded in 2018 by Flagship Pioneering. The Company has offices in Somerville and Andover, Massachusetts.

Requirements

• A Builder Mindset You are comfortable deploying full-stack AI services and engaging in rapid, iterative exploration.
• Leverage next-generation AI coding tools to accelerate ideation and validation velocity.
• Adaptability to new concepts and frameworks. You can quickly adapt to new concepts, tools, and frameworks, and apply them to solve problems.
• Strong ML Foundations Solid understanding of modern machine learning methods (e.g., deep learning, generative models, foundation models).
• Experience training, fine-tuning, or evaluating ML systems through research projects, internships, open-source work, or industry experience.
• AI × Science Fluency Bachelor’s or advanced degree in a scientific or quantitative field (e.g., Biology, Chemistry, Physics, Computer Science, Engineering, or related).
• Experiences in Building Agent Systems Hands-on experience building agent systems and familiarity with common design patterns.
• Familiarity with agent evaluation frameworks.
• Experience working with cloud platforms (GCP, AWS, Azure), and/or alternative serverless databases and distributed computing frameworks.

Nice To Haves

• Publications are valued but not required.
• Exposure to molecular modeling, protein design, small molecules, or computational biology is a plus — but strong ML candidates motivated to learn biology are encouraged to apply.

Responsibilities

• Build and Improve Science Discovery Systems Contribute to the design and implementation of scalable, autonomous, and results-driven AI systems that integrate molecular design with experimental feedback loops.
• Be familiar with modern AI-assisted development practices.
• Build and test research prototypes to explore new agent capabilities and orchestration patterns.
• Support Experimental Verification Workflows Work with cross-functional teams to develop workflows where AI systems assist scientists in refining and verifying designs and hypotheses, enabling more efficient iteration.
• Translate high-level scientific goals into executable software pipelines that autonomously navigate the design space.
• Contribute to Knowledge Sharing Document findings, share learnings internally, and contribute to technical reports, open-source efforts, or publications when appropriate.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level