Lead Scientist, GenAI & Research Enablement

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📍 McLean, VA, USOTHER

About this role

Overview

The Lead Scientist will serve as a technical and scientific leader for high-visibility initiatives that enable large-scale research through cloud computing and Generative AI (GenAI). This role will guide adoption of advanced computational capabilities across a complex research ecosystem and lead a cross-organizational GenAI Community of Practice. The ideal candidate combines deep scientific expertise with experience leading multi-stakeholder initiatives at scale.

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

 

Qualifications

Required

  • 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

 

Preferred

  • 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

About steampunk

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $125,000 to $160,000.  The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here. 

 

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

 

Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors.  Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges.  As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers – and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.

 

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. Steampunk participates in the E-Verify program. 

Frequently Asked Questions

Is the salary disclosed for the Lead Scientist, GenAI & Research Enablement position at sesolutions?
The salary for this Lead Scientist, GenAI & Research Enablement role at sesolutions is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Lead Scientist, GenAI & Research Enablement position at sesolutions located?
This Lead Scientist, GenAI & Research Enablement role at sesolutions is based in McLean, VA, US. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Lead Scientist, GenAI & Research Enablement role at sesolutions full-time or part-time?
This is listed as a OTHER position. It is posted as a Lead Scientist, GenAI & Research Enablement role at sesolutions.
How do I apply for the Lead Scientist, GenAI & Research Enablement position at sesolutions?
Click the "Apply Now" button on this page. You will be redirected to sesolutions's official application portal hosted on icims where you can submit your application directly.
When was the Lead Scientist, GenAI & Research Enablement job at sesolutions posted?
This Lead Scientist, GenAI & Research Enablement position at sesolutions was posted on Mar 24, 2026. Apply as soon as possible — early applications are often reviewed first.
Lead Scientist, GenAI & Research Enablement
sesolutions
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