Director, Data Engineering

Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health. The Team Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health. Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology — developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide. The Opportunity This role will lead Data Engineering, which builds the infrastructure that makes our biological foundation models possible—ingesting data from public repositories, merging it with large-scale internal data generation projects, transforming heterogeneous biological formats into AI-ready datasets, and delivering petabytes of training data to researchers pushing the boundaries of what's possible in biological AI. You'll set technical direction, hire, grow and develop engineers, and ensure we deliver reliable, scalable systems that keep pace with our ambitions. The software your team builds will directly shape what our models can learn. This is a player-coach role. You'll spend meaningful time on technical leadership—architecture decisions, code review, unblocking hard problems—while also building and managing a high-performing team. We're a small organization with significant resources and long time horizons that values small, high functioning teams. We use AI tools aggressively, care deeply about code quality and operational reliability, and want leaders who understand why biology matters. If you want to build and lead a team at the intersection of large-scale infrastructure and frontier science, with real autonomy and the chance to shape something genuinely new, we'd like to talk. What You'll Do Lead a team of data engineers, setting technical direction and ensuring delivery of reliable, scalable data infrastructure Drive architecture decisions for petabyte-scale pipelines deployed across multiple compute environments (cloud, on-prem) that ingest, transform, and deliver genomic and imaging data for model training Build a culture of operational excellence—99%+ pipeline reliability, strong observability, and systems that scale without manual intervention Recruit, develop, and retain exceptional engineers who combine scale infrastructure experience with biological intuition Partner with AI Research, Data Science, and Scientific Data Strategy to translate model and data requirements into engineering priorities What You'll Bring 10+ years of experience leading data engineering or infrastructure teams through periods of growth and technical complexity, with 5 or more as a people manager. Track record of building AI training dat ... (truncated, view full listing at source)