C-brAIn Chief Technology Officer (Remote) - Neurology

Scheduled Hours 40 Position Summary Why Lead Technology at C-brAIn? This is a defining opportunity to lead the technical vision of a mission-driven initiative with the potential to transform biomedical research. As CTO, you will shape the future of AI in science, collaborate with world-class partners, and help accelerate discoveries that improve lives around the globe. As the Consortium enters a critical phase of growth and execution, we seek a Chief Technology Officer to lead its strategic direction, operational delivery, and stakeholder engagement. About C-brAIN: The Consortium for Biomedical Research and Artificial Intelligence in Neurodegeneration (C-brAIn) is a pioneering initiative at the intersection of biomedical science and artificial intelligence. Anchored by Washington University in St. Louis and supported by leading institutions across academia, industry, and philanthropy, C-brAIn is advancing a transformative vision: to accelerate breakthroughs in neuroscience, brain aging, and neurodegenerative disease through the development of an AI-powered, scientist-in-the loop research platform. This is a well-resourced, high-impact effort with the potential to transform the field. Role Summary: The CTO will serve as the technical architect and innovation leader of C-brAIn, responsible for designing and delivering scalable AI solutions that support the full biomedical research lifecycle. This role will guide the development of three initial Minimum Viable Products (MVPs) focused on Alzheimer’s disease and related disorders, and oversee their integration into a unified, end-to-end research platform. The CTO will build and lead a high performing technical team, define the Consortium’s AI architecture and roadmap, and ensure alignment with scientific, ethical, and organizational goals. Job Description Primary Duties & Responsibilities: Strategic Planning Develop and implement the technical vision, architecture, and roadmap for delivering C-brAIn’s intended product types (e.g., agentic assistants, knowledge discovery platforms). Lead phased development strategies, ensuring progress from Minimum Viable Products (MVPs) to a full featured biomedical research scientist product offering that supports the full biomedical research lifecycle. Establish actionable metrics to track progress and impact, such as funding acquired, publications generated, and successful pilots in real-world neuroscience discovery workflows. Technology Leadership Build, scale, and optimize the application of advanced AI/ML solutions, including: Large Language Models (LLMs) for analyzing scientific literature. Semi-autonomous Agentic AI assistants. Knowledge Graphs for mapping biological relationships. Multimodal Data Integration for synthesizing diverse biomedical datasets (e.g., -omics, imaging, clinical, and digital biomarkers). Explainable AI (XAI) for transparent and accountable decision-making. Causal Inference, Counterfactual Reasoning, and Reinforcement Learning with Human Feedback for dynamic AI-human collaboration. Oversee the integration of these technologies into a full featured AI product that enhances scientific workflows, including hypothesis generation, experimental design, and interpretation of results. Product Development and Deployment Drive the creation and delivery of MVPs that demonstrate the feasibility and value of AI tools in biomedical research. Oversee the scaling and deployment of products to address neurodegeneration research challenges while expanding to broader biomedical applications. Establish software development processes, quality assurance protocols, and performance benchmarks. Ensure compliance with all relevant laws, regulations, and data protection standards (e.g., HIPAA, GDPR). Track and report on tool performance metrics, usability benchmarks, and system reliability. Collaboration and Stakeholder Engagement Collaborate with the Executive Director and Steering Committee to align technical goals with organizational strategy; align multiple strategies and ideas across technical and scientific domains. Build and nurture partnerships across academia, industry, and philanthropy, fostering collaboration to achieve shared goals. Represent C-brAIn at external meetings, conferences, and events, serving as an ambassador for its mission and vision. Engage with scientific experts to ensure the product remains relevant to real-world biomedical challenges and supports a “scientist-in-the-loop” approach. Team Leadership and Management Recruit, mentor, and manage a high-performing, multidisciplinary team of researchers, AI engineers, software developers, and data scientists, cultivating a collaborative, innovative, and inclusive environment. Provide technical leadership across cross-functional teams including product, data, and operations. Provide mentorship and support for team members’ professional growth and alignment with C-brAIn’s mission and values. Stay current with emerging technologies and trends in AI, biome

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