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Nih Data Science Jobs in Virginia (NOW HIRING)

Bachelor's degree in library science, Information Science, Life Sciences, Public Health, Biology ... Knowledge of NIH-funded research, U.S. Public Health Service agencies, or research data management.

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 ...

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 ...

AI Innovation Engineer

Mclean, VA · On-site

$100 - $140/hr

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 ...

Showing results 21-40

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.

What job categories do people searching Nih Data Science jobs in Virginia look for?

The top searched job categories for Nih Data Science jobs in Virginia are:

What cities in Virginia are hiring for Nih Data Science jobs?

Cities in Virginia with the most Nih Data Science job openings:

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 Evaluation Scientist with Security Clearance

steampunk

Fairfax, VA • On-site

$105K - $145K/yr

Other

Re-posted 4 days ago


Job description

Overview We are looking for an AI Evaluation Scientist to design and execute evaluation processes that ensure our predictive and generative AI systems are accurate, reliable, safe, and aligned with mission requirements. This role is essential for establishing trust in AI solutions and supporting continuous improvement across the AI lifecycle. The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts, and product teams to develop evaluation metrics, build test harnesses, analyze model behavior, and support responsible deployment. Contributions * Implement evaluation frameworks for AI models, including accuracy, robustness, relevance, bias, hallucination rate, and safety metrics. * Build and maintain automated evaluation scripts, tests, and pipelines that assess AI model outputs and detect performance drift over time. * Develop benchmark datasets, challenge sets, and scenario-based test cases tailored to mission and user needs. * Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations. * Collaborate with AI Developers, LLMOps Engineers, and Data Scientists to support iterative experimentation, model hardening, and quality improvements. * Contribute to the design of human-in-the-loop evaluation workflows, integrating qualitative and quantitative insight into evaluation reports. * Assist in mapping evaluation outcomes to responsible AI principles such as fairness, transparency, reliability, and safety. * Partner with AI Governance Analysts to ensure evaluation outputs support compliance, documentation, and risk assessments. * Stay current with emerging evaluation tools, frameworks, metrics, and research related to LLM assessment and generative AI reliability. * Document evaluation processes, criteria, and results for both technical and non-technical audiences. * You will contribute to the growth of our AI & Data Exploitation Practice! Qualifications * Ability to hold a position of public trust with the U.S. government. * Bachelor's or Master's degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human-Computer Interaction, Data Science, or a related field. * 2+ years of experience evaluating machine learning models, NLP systems, or generative AI models (LLMs preferred). * Familiarity with evaluation metrics, statistical testing, dataset creation, and experimental design for AI systems. * Proficiency in Python and relevant libraries such as PyTorch, Hugging Face, scikit-learn, LangChain. * Proficiency in AI evaluation frameworks such as Ragas. * Experience analyzing structured and unstructured data, including text, documents, and embeddings. * Understanding of LLM behavior, prompt evaluation, retrieval pipelines, or RAG architectures. * Exposure to responsible AI concepts and governance-aligned evaluation criteria (e.g., fairness, transparency, reliability). * Strong analytical skills with the ability to interpret model weaknesses, extract insights, and recommend actionable improvements. * Excellent written and verbal communication skills, with the ability to present evaluation findings clearly to technical and non-technical stakeholders. * Experience working in agile or iterative development environments is a plus. * Familiarity with OWASP LLM Top 10 Risks. * NIH experience. * Relevant certifications (helpful but not required): * NIST AI RMF (AISIC) * INFORMS CAP * AWS/Azure/Google ML Certifications . * Local to Washington, DC metro area preferred. 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 $105,000 to $145,000. 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 .