Tech Stack

Description

You will work directly with flagship research partners like HHMI and the Allen Institute, building AI prototypes that fit into real scientific workflows. Your mission is to accelerate life sciences research by developing reusable ecosystem tools and feeding real-world deployment challenges back to product and engineering teams.

Requirements

• 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder with production experience
• Deep research experience in life sciences, biomedical research, or scientific computing
• Experience building LLM-powered tools or applications (prompting, context engineering, agent architectures, evaluation frameworks)
• Builder credibility from shipping production code
• Comfortable wearing multiple hats and building from scratch in ambiguous situations

Responsibilities

• Partner deeply with life sciences research institutions, build hands-on with their engineers, and take projects from exploration to production
• Develop reusable ecosystem infrastructure like MCP servers for domain-specific data sources, benchmarks, and agent skills
• Identify hard problems in deploying AI in life sciences (heterogeneous data, auditability, prototype-to-trust gap) and provide feedback to product/engineering/research
• Create technical content and documentation to enable self-service scaling of successful solutions