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Nih Data Science Jobs in Virginia (NOW HIRING)

Steampunk

AI Innovation Engineer

Mclean, VA · On-site

Serve as a liaison between data scientists, platform engineers, and user-facing teams to ensure end ... Experience supporting HHS or NIH programs * Experience working in scientific environments Preferred ...

ECS

Program Manager with Security Clearance

Hampton, VA · On-site

$150K - $190K/yr

... NIH NIAID Enabling and Advancing Technologies (NEAT) . This engagement supports the External ... Analyze financial data and trends, identifying potential risks and opportunities. * Prepare ...

TechSur Solutions

Technical Program Manager - HHS

Reston, VA · On-site

$134K - $173K/yr

... NIH), or Centers for Disease Control and Prevention (CDC) . This is a delivery-first growth role ... Lead the delivery of complex IT modernization, software development, cloud, data, cybersecurity ...

TechSur Solutions

Technical Program Manager - HHS

Reston, VA · On-site

$134K - $173K/yr

... NIH), or Centers for Disease Control and Prevention (CDC) . This is a delivery-first growth role ... Lead the delivery of complex IT modernization, software development, cloud, data, cybersecurity ...

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Nih Data Science information

What is an NIH Data Science?

An NIH Data Science job involves managing, analyzing, and interpreting complex biomedical and health data to support scientific research and policy decisions. Professionals in this field work with big data, machine learning, and computational tools to advance medical discoveries and improve public health outcomes. They may collaborate with researchers, develop data infrastructure, and ensure data privacy and security. These roles exist across various NIH institutes and centers, supporting data-driven decision-making in health sciences.

What does an NIH Data Science do?

Data Science professionals at the NIH often work on projects involving the cleaning, analysis, and interpretation of large-scale biomedical datasets to support research or public health initiatives. Daily work may include designing and implementing algorithms, developing predictive models, and visualizing results to make data-driven recommendations. Collaboration is frequent, with data scientists working alongside researchers, clinicians, and IT specialists to tackle complex scientific questions. Professionals in this role also stay updated with emerging analytical tools and methods, contributing to continuous improvement of research practices. This dynamic environment offers opportunities to advance scientific discovery and develop expertise in high-impact areas of biomedical research.

What are the key skills and qualifications needed to thrive in the NIH Data Science position?

To thrive as an NIH Data Science professional, you need a strong background in statistics, bioinformatics, and data analysis, typically supported by a degree in a related field such as computer science, mathematics, or public health. Experience with programming languages like Python or R, familiarity with data visualization tools, and knowledge of database management systems are crucial, and certifications in data science or informatics can be advantageous. Strong problem-solving abilities, teamwork, and effective communication skills set exceptional candidates apart. These competencies are vital for extracting meaningful insights from complex biomedical datasets, supporting impactful research, and collaborating across multidisciplinary teams at the NIH.

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Nih Data Science jobs near you
Infographic showing various Nih Data Science job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

AI Innovation Engineer

Steampunk

Mclean, VA • On-site

Other

Re-posted 6 days ago

Job description

Overview
We are seeking a hands-on, creative, and technically strong AI Innovation Engineer to support our client delivery teams in bringing modern AI solutions to life within public-sector organizations. This role is focused on client enablement, prototyping, and cross-functional engagement-helping our clients understand the potential of AI, design proofs-of-concept, and build working prototypes that demonstrate value in their specific mission context.
The ideal candidate combines strong technical skills (especially with GenAI, LLMs, data pipelines, and cloud-native services) with the ability to collaborate across disciplines-working with DevSecOps teams, cloud working groups, data stewards, and communities of practice to drive AI adoption and build momentum. You'll play a critical role in bridging the gap between strategy and execution, demonstrating how AI can solve real-world problems and catalyze digital transformation.
Contributions
This role is ideal for someone who thrives at the intersection of technical innovation and human-centered impact. You'll help our clients not only understand what AI can do, but also show them how through prototypes, pilots, and practice. You'll be an early advocate for the latest AI service offerings that are available for our clients. You'll join a collaborative, forward-leaning culture that values exploration, rapid iteration, and practical impact. You'll contribute to the growth of our AI & Data Exploitation Practice.
Your key contributions include:
  • Client AI Enablement & Education
    • Serve as a trusted advisor to the client organization on modern AI capabilities, best practices, and responsible use
    • Develop AI education materials, tutorials, demo videos, and onboarding sessions that are tailored to the client organization's needs
    • Lead or support AI enablement events such as workshops, lunch-and-learns, innovation sprints, and capability briefings
  • Prototyping & Proof-of-Concepts
    • Design and implement AI prototypes and proof-of-concept solutions tailored to specific mission use cases (e.g., summarization, entity extraction, classification, semantic search)
    • Work with cloud platform teams to integrate prototypes into modern cloud environments (e.g., AWS Bedrock, GCP Vertex AI, Azure OpenAI)
    • Leverage RAG pipelines, orchestration frameworks (LangChain, LlamaIndex), and LLM APIs to rapidly deliver working demos
  • Cross-Functional Integration
    • Participate in communities of practice and cross-team working groups (e.g., cloud, data, architecture, cybersecurity) to ensure AI adoption is aligned with broader modernization goals
    • Share findings, prototype patterns, and reusable components across delivery teams to accelerate reuse and scale impact
    • Serve as a liaison between data scientists, platform engineers, and user-facing teams to ensure end-to-end viability of AI solutions
  • Standards, Security & Compliance
    • Ensure all AI solutions are designed with responsible AI principles, data sensitivity awareness, and security-first practices
    • Collaborate with compliance and governance stakeholders to vet tools, define usage boundaries, and mitigate risks in AI application

Qualifications
Required
  • Ability to hold a position of public trust with the US government.
  • Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 3+ years of experience in software engineering, data engineering, or applied AI/ML roles.
  • Demonstrated hands-on experience with modern GenAI tooling, such as:
    • OpenAI (GPT-4), Claude, Gemini, Llama 3
    • LangChain, LlamaIndex, or similar RAG frameworks
    • AWS Bedrock, GCP Vertex AI, Azure OpenAI Service
    • Vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma)
  • Strong Python development skills with familiarity in building data pipelines, API wrappers, and lightweight front-ends for demos.
  • Ability to build and present AI-powered demos to both technical and non-technical audiences.
  • Familiarity with DevSecOps and CI/CD principles.
  • Familiarity with GitHub.
  • Experience engaging with external clients or business stakeholders in a consultative role.
  • Relevant Professional Certification(s)
  • Experience supporting HHS or NIH programs
  • Experience working in scientific environments

Preferred Qualifications
  • Experience delivering AI capabilities into federal government agencies or highly regulated industries.
  • Experience customizing AI services for biomedical or health research.
  • Understanding of NIST AI Risk Management Framework and other public-sector digital policy memos.
  • Hands-on knowledge of data governance, PII handling, and compliance-aware prototyping.
  • Exposure to Human-Centered Design practices, user research synthesis, or journey mapping.
  • Prior involvement in standing up or contributing to an AI Community of Practice or Innovation Hub.

About steampunk
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.

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