Lead Scientist, GenAI & Research Enablement

Lead Scientist Contributions

• Serve as lead for a high-profile, large-scale initiative providing access to cloud and GenAI resources across a distributed research community
• Provide scientific and technical leadership to accelerate research outcomes through adoption of cloud and GenAI technologies
• Guide national- or enterprise-level efforts to integrate advanced computational capabilities into research workflows
• Lead and coordinate a GenAI Community of Practice, fostering collaboration and knowledge sharing across a large, diverse population of scientists, technologists, and stakeholders
• Facilitate cross-organizational collaboration to identify research needs, prioritize use cases, and share best practices for responsible and effective use of GenAI
• Engage with senior leadership, researchers, and technical teams to communicate strategy, progress, and impact of cloud and GenAI initiatives
• Represent the initiative in scientific, technical, and stakeholder forums, including working groups, workshops, and briefings
• Contribute to development of guidance, frameworks, and best practices for cloud and GenAI use in research environments
• Support governance, coordination, and continuous improvement of large-scale research enablement efforts

• Advanced degree (PhD strongly preferred) in biomedical science, computational biology, data science, computer science, or a related scientific discipline
• 10+ years of experience
• Demonstrated experience leading large-scale scientific, technical, or research enablement initiatives
• Strong background in scientific research and familiarity with modern computational approaches, including cloud computing and GenAI
• Experience guiding adoption of new technologies within research or scientific organizations
• Proven ability to lead and coordinate cross-organizational communities, working groups, or collaborative networks
• Excellent written and verbal communication skills, with the ability to engage effectively with scientists, technologists, and senior leadership
• Local to Washington, DC metro area

• NIH experience
• Onsite 2 days a week
• Experience supporting research initiatives in large, complex, or regulated environments
• Experience establishing or leading Communities of Practice or cross-institutional collaborations
• Familiarity with responsible AI, ethical considerations, or governance in research contexts
• Experience working at the intersection of science, technology, and strategy
• Background in cloud-based research platforms or large-scale data ecosystems

The projected compensation range for this position is $125,000 to $160,000.

We are an equal‑opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. We participate in the E-Verify program.