Top Tech Jobs & Startup Jobs in Boston, MA

The Engineer will operationalize scientific tools and methods within the Data Foundry, building deployment pipelines, model serving infrastructure, and ensuring APIs are robust and analytics-ready for both scientists and AI agents.

Lead development, deployment, and validation of advanced analytical methods (e.g., cheminformatics, computational biology, AI/ML) to inform discovery decisions, integrate tools with data infrastructure and autonomous agents, mentor junior scientists, publish research, and collaborate across Data Foundry pillars to accelerate molecule discovery.

Develop scientific software for AI-native drug discovery, building data pipelines, APIs, and lab automation integrations while collaborating with scientists.

The Data Architect will design data infrastructure for AI-native drug discovery, focusing on data models, ontologies, and data platform architecture to support scientific workflows and analytics.

The Technical Lead will build software systems for AI-native drug discovery, design data pipelines, develop APIs, and collaborate with scientists to create efficient workflows and solutions.

The role involves developing synthesis-aware virtual screening workflows for small-molecule drug discovery, integrating various modeling and design strategies.

The Director leads Discovery PKPD projects for genetic medicines, develops modeling strategies, conducts studies, collaborates across teams, mentors scientists, and communicates findings.

The role requires engineering integrative solutions between AI and lab systems to enhance molecule discovery through automation and data connectivity. It involves prototyping, collaboration with scientists, deploying intelligent systems, and ensuring reliable lab operations.

The role requires leading pharmacometrics strategy, solving complex problems, mentoring team members, and integrating AI/ML into drug development processes.

The Data Architect will design and build data infrastructure to support AI-driven drug discovery, focusing on data models, architectures, and integration strategies.