Data Scientist, Imaging x AI/ML

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 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. Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools. This is an opportunity to shape the future of biological research by pushing the boundaries of what AI can achieve in science. You’ll work alongside leading experts in AI and biology, with the resources and mandate to tackle some of the most important questions in human health—advancing frontier AI research, accelerating engineering velocity, connecting rich biological data to AI systems, enabling reliable compute across environments, and translating models and data into usable, scalable applications that drive scientific impact for the public good. This role is part of the Data team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. Our goal is to maximize the speed, agility, and capability of biological AI research by connecting public data resources and Biohub's experimental platforms to AI systems. The Opportunity We are seeking a highly motivated and skilled Data Scientist to join our team in developing AI/ML powered algorithms and software tools for improving and analyzing images acquired using newly developed, state-of-the-art cryogenic block face focused ion beam scanning electron microscopy ( cryo FIB-SEM) coupled with atomic force microscopy (AFM) and other readout modalities. This role is ideal for candidates with a strong background in AI/ML, image processing, and a passion for advancing scientific discovery through computational innovation. Applicants with expertise in computational science, applied mathematics, or physics, combined with experience in state-of-the-art ML approaches, are strongly encouraged to apply. We value critical thinking, problem-solving ability, and clear communication in our vibrant, collaborative environment What You'll Do Design and implement AI/ML powered algorithms for 3D volumetric image correction, registration and reconstruction followed by segmentation, and analysis in cryogenic FIB-SEM and AFM. Develop robust, scalable software packages and pipelines for processing large-scale imaging datasets. Apply and adapt AI/ML techniques, including deep learning, to automate feature detection, denoising, classification, and other tasks. Collaborate closely with biologists, microscopists, and software engineers to understand resear ... (truncated, view full listing at source)