Company Description The Stanford Translational AI (STAI) Lab focuses on advancing artificial intelligence from foundational research to real-world applications in health and medicine. The lab brings together interdisciplinary experts in AI, computer vision, neuroscience, medical imaging, and health informatics to tackle pressing challenges in precision healthcare and mental health. STAI’s work centers on creating innovative AI methods that can be translated into clinically meaningful tools and workflows.
By collaborating closely with clinicians and healthcare partners, the lab aims to improve diagnosis, treatment, and patient outcomes. The environment supports cutting-edge research, cross-functional collaboration, and impactful implementation in clinical settings.
Role Description The Senior Executive Director will provide strategic leadership and operational oversight for the STAI Lab in a full-time, remote capacity. This role will guide long-term vision, set priorities, and align research, partnerships, and funding with the lab’s mission to translate AI innovations into clinical practice. Day-to-day responsibilities include managing research programs and project portfolios, coordinating with faculty, researchers, and external collaborators, and ensuring effective execution of multidisciplinary initiatives.
The Senior Executive
Director will oversee budgeting, resource allocation, and fundraising efforts, including grant development, industry partnerships, and philanthropic engagement. The role also involves building and maintaining strategic relationships across academia, healthcare institutions, and industry, supervising senior staff, and fostering a culture of inclusion, ethical AI practices, and high-quality research outcomes.
Qualifications
Demonstrated leadership experience in research, healthcare, technology, or related fields, with a track record of directing complex, multi-stakeholder programs.
Strong strategic planning and organizational management skills, including experience overseeing budgets, operations, and resource allocation.
Background in AI, data science, health informatics, or a closely related discipline, with familiarity in areas such as medical imaging, neuroscience, or precision healthcare.
Proven ability to build and manage partnerships with academic institutions, healthcare organizations, and industry collaborators.
Excellent communication, negotiation, and stakeholder engagement skills, with the ability to convey technical concepts to diverse audiences.
Experience with grant writing, fundraising, and development of sustainable funding strategies for research or innovation programs.
Commitment to ethical AI, data privacy, and equitable healthcare outcomes, with experience implementing inclusive and non-discriminatory practices.
Advanced degree (e.g., PhD, MD, or equivalent) in a relevant field is strongly preferred; substantial equivalent leadership experience in translational research or health technology may also be considered.
Ability to lead remote teams effectively, using digital collaboration tools, and to operate independently with sound judgment.