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Location
Remote, US Scheduled Hours
40 Position Summary
This is a rare opportunity to lead a mission-driven consortium at the forefront of biomedical innovation. The CEO will play a pivotal role in shaping the future of AI in science, accelerating discoveries that improve lives, and building a legacy of impact through collaboration, technology, and visionary leadership. The CEO will be responsible for cultivating a high-performing organizational culture, forging strategic partnerships, and ensuring the Consortium’s long-term sustainability and impact.
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.
The CEO will serve as the strategic and operational leader of C-brAIn, guiding the Consortium’s mission to redefine biomedical discovery through AI. This individual will work in close partnership with the Executive Director, Steering Committee, and a multidisciplinary executive team to ensure the successful development, deployment, and scaling of C-brAIn’s platform and initiatives. The CEO will oversee the development and integration of AI-powered research tools (in collaboration with the CTO). Ultimately, these products will scale beyond Alzheimer’s disease to broader biomedical domains.
Job Description
Primary Duties & Responsibilities:
Strategic Leadership
Forge strategic partnerships with aligned stakeholders to synergize collaborative acceleration of C-BRAIN’s mission.
Drive strategic planning and milestone delivery for the AI Biomedical Research Scientist platform.
Champion scientific integrity, ethical AI practices, and continuous innovation.
Organizational Management
Lead, manage, and mentor a multidisciplinary executive team across research, technology, and operations. Ensure the C-BRAIN executive team has efficient coordination of activities and communications, and timely delivery of technical and scientific objectives.
Oversee program execution, resource allocation, and risk management.
Manage the scaling and deployment of products to address neurodegeneration research challenges while expanding to broader biomedical applications.
Stakeholder Engagement
Reporting to the Director, collaborating with the CTO and scientific leadership to align technology development, product development, and AI/ML tool delivery, ensuring technology development is driven by research needs and use cases, with strong scientific input and community feedback.
Engage with scientific experts to ensure the Consortium’s work is accessible and impactful for all stakeholders; ensure the products remain relevant to real-world biomedical challenges and supports a “scientist-in-the-loop” approach.
Represent C-brAIn in external forums, advancing visibility and influence.
Promote responsible AI tool sharing, equitable access, and community engagement.
Financial Stewardship
Oversee budget planning and resource deployment across a portfolio.
Identify and secure funding opportunities to support growth and innovation.
Ensure fiscal accountability and alignment with institutional and partner expectations.
Working Conditions:
Job Location/Working Conditions
Normal office environment
Flexible, with a preference for proximity to key research and industry partners.
Hybrid, with a mix of remote work, on-site collaboration, and travel to conferences and partner institutions.
Physical Effort
Typically working at desk or table
Repetitive wrist, hand or finger movement
Ability to move to on and off-campus locations
Equipment
Office equipment
The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time. Required Qualifications
Education:
Master’s degree or combination of education and/or experience may substitute for minimum education. Certifications /Professional Licenses :
No specific certification/professional license is required for this position. Work Experience:
A driver's license is not required for this position. More About This Job For more information, see .
Required Qualifications:
Experience in AI/technology, life sciences, or related sectors.
Demonstrated success in building and scaling large, complex, multi-stakeholder initiatives or organizations—including experience in startup or consortium environments where agility, resourcefulness, and collaborative leadership are essential.
Demonstrated ability to build collaborations across academia, industry, and philanthropy, and to lead multidisciplinary teams, including technical and scientific staff.
Strong track record in partnership development and stakeholder engagement.
Preferred Qualifications:
Experience working with or leading academic, industry, philanthropic, startup, consortium, or nonprofit organizations.
Familiarity with regulatory, legal, and ethical frameworks in biomedical research and AI.
Experience with federated data architectures, privacy-preserving technologies, and responsible data governance.
Prior leadership in a startup, consortium, or nonprofit environment.
Preferred Qualifications
Education:
M.D. - Doctor of Medicine, Ph.D. - Doctor of Philosophy Certifications/Professional Licenses :
No additional certification/professional licenses unless stated elsewhere in the job posting. Work Experience:
No additional work experience unless stated elsewhere in the job posting. Skills:
Adaptability, Biomedical Research, Biomedical Sciences, Building High Performance Team, Business Management, Communication, Computer Science, Data Integration, Data Privacy, Engineering Education, Entrepreneurial Leadership, Hypothesis Generation, Interpersonal Communication, Leadership, Machine Learning (ML), Negotiation, Open Science, Operational Execution, Organizing, Project Management, Public Health, Stakeholder Relationship Management, Strategic Planning, Translational Neuroscience, Workflow Management Grade
G00 Questions
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Accommodation
If you are unable to use our online application system and would like an accommodation, please email or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.
All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship. Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening. Benefits Statement
Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at to view a summary of benefits. EEO Statement
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information. Originally posted on Himalayas
