Research Scientist Visa Sponsorship Jobs in Washington DC
Washington DC's research scientist jobs are concentrated across federal agencies, think tanks, and research universities, with major employers including the National Institutes of Health, Georgetown University, George Washington University, and the Brookings Institution. Many of these organizations have established visa sponsorship processes, making DC one of the more active markets for internationally trained researchers.
Find Research Scientist JobsOverview
Showing 5 of 14+ Research Scientist Jobs in Washington DC with Visa Sponsorship
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all Research Scientist Jobs in Washington DC with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Research Scientist Jobs in Washington DC with Visa Sponsorship.
Get Access To All JobsINTRODUCTION
Design and build the knowledge infrastructure that powers Gallup’s most ambitious AI initiatives. As an AI research scientist at Gallup, you will shape AI systems built on some of the richest behavioral datasets in the world. If you bring the rigor of a researcher and the instincts of a systems thinker, and you want to design what doesn't yet exist, you'll thrive in Gallup Labs.
ABOUT GALLUP LABS
Gallup Labs is the internal research and incubation engine at Gallup, where the world's most important questions about human behavior meet at the intersection of research and technology. We work on problems that don't have clear road maps: building novel knowledge architectures from decades of behavioral data, designing AI systems that surface talent signals and prototyping the next generation of human-centered intelligence tools for a variety of markets.
WHAT YOU’LL DO
- Design, prototype and evaluate applied AI systems for knowledge representation, retrieval and agentic reasoning
- Build knowledge architectures that combine knowledge graphs, vector databases, RAG pipelines and hybrid retrieval approaches for behavioral and scientific data
- Own core retrieval infrastructure, including ontology design, schema design, embeddings, indexing, LLM-based extraction, entity resolution, graph storage and query patterns
- Translate ambiguous research questions into clear technical approaches, experiments and working systems
- Create evaluation frameworks for reasoning quality, retrieval accuracy, scalability and real-world impact
- Partner with researchers, product leaders and technologists to integrate knowledge systems into larger AI workflows and communicate architectural decisions clearly
- Stay current on applied AI research and identify techniques that can strengthen Gallup’s AI capabilities
WHAT MAKES YOU STAND OUT
- Entrepreneurial mindset: You are relentlessly curious about what could exist, spot unmet needs and take ownership of turning technical possibility into systems that create measurable value.
- Systems thinking: You instinctively see how technical components interact, anticipate failure modes and design and test architectures that are resilient and adaptable.
- Architectural creativity: You evaluate trade-offs across graph, vector and hybrid systems and are energized by inventing new combinations when standard approaches fall short.
REQUIRED
WHAT YOU NEED
- Bachelor’s degree in computer science, data science, applied mathematics, cognitive science or a related quantitative field, plus two years of experience, or an advanced degree in ML, NLP, information science or computational social science
- Experience building applied AI systems, knowledge architectures or advanced data systems in industry, research or comparable settings
- Strong hands-on experience with knowledge graphs, including ontology and schema design, extraction pipelines, graph storage and traversal
- Experience using LLMs for structured extraction of entities, relations and attributes
- Experience designing advanced retrieval systems and evaluating reasoning and extraction quality
- Strong Python skills and fluency with modern AI development stacks such as LangChain, LangGraph or LlamaIndex
- A commitment to working on-site at Gallup’s Washington, D.C., office at least three days per week
PREFERRED
- Experience turning research ideas into production-ready AI systems
- Hands-on experience with agentic workflows, including multi-step reasoning, tool use and planner/executor patterns
- Ability to build lightweight service layers and interfaces, such as FastAPI, to inspect and evaluate extraction and retrieval quality
- Advanced experience with entity resolution, graph learning or hybrid database architectures that combine graph, vector and relational systems
- Experience with major cloud AI ecosystems such as Azure OpenAI, AWS Bedrock, GCP Vertex or comparable self-hosted solutions
ABOUT GALLUP
At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; mass transit reimbursement; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates’ wellbeing.
We also offer an estimated annual salary range of $165,000-$225,000 for this role. Salaries are based on a variety of factors, including an individual’s education, experience and skills.
Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law.
To review Gallup’s Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States.
INTRODUCTION
Design and build the knowledge infrastructure that powers Gallup’s most ambitious AI initiatives. As an AI research scientist at Gallup, you will shape AI systems built on some of the richest behavioral datasets in the world. If you bring the rigor of a researcher and the instincts of a systems thinker, and you want to design what doesn't yet exist, you'll thrive in Gallup Labs.
ABOUT GALLUP LABS
Gallup Labs is the internal research and incubation engine at Gallup, where the world's most important questions about human behavior meet at the intersection of research and technology. We work on problems that don't have clear road maps: building novel knowledge architectures from decades of behavioral data, designing AI systems that surface talent signals and prototyping the next generation of human-centered intelligence tools for a variety of markets.
WHAT YOU’LL DO
- Design, prototype and evaluate applied AI systems for knowledge representation, retrieval and agentic reasoning
- Build knowledge architectures that combine knowledge graphs, vector databases, RAG pipelines and hybrid retrieval approaches for behavioral and scientific data
- Own core retrieval infrastructure, including ontology design, schema design, embeddings, indexing, LLM-based extraction, entity resolution, graph storage and query patterns
- Translate ambiguous research questions into clear technical approaches, experiments and working systems
- Create evaluation frameworks for reasoning quality, retrieval accuracy, scalability and real-world impact
- Partner with researchers, product leaders and technologists to integrate knowledge systems into larger AI workflows and communicate architectural decisions clearly
- Stay current on applied AI research and identify techniques that can strengthen Gallup’s AI capabilities
WHAT MAKES YOU STAND OUT
- Entrepreneurial mindset: You are relentlessly curious about what could exist, spot unmet needs and take ownership of turning technical possibility into systems that create measurable value.
- Systems thinking: You instinctively see how technical components interact, anticipate failure modes and design and test architectures that are resilient and adaptable.
- Architectural creativity: You evaluate trade-offs across graph, vector and hybrid systems and are energized by inventing new combinations when standard approaches fall short.
REQUIRED
WHAT YOU NEED
- Bachelor’s degree in computer science, data science, applied mathematics, cognitive science or a related quantitative field, plus two years of experience, or an advanced degree in ML, NLP, information science or computational social science
- Experience building applied AI systems, knowledge architectures or advanced data systems in industry, research or comparable settings
- Strong hands-on experience with knowledge graphs, including ontology and schema design, extraction pipelines, graph storage and traversal
- Experience using LLMs for structured extraction of entities, relations and attributes
- Experience designing advanced retrieval systems and evaluating reasoning and extraction quality
- Strong Python skills and fluency with modern AI development stacks such as LangChain, LangGraph or LlamaIndex
- A commitment to working on-site at Gallup’s Washington, D.C., office at least three days per week
PREFERRED
- Experience turning research ideas into production-ready AI systems
- Hands-on experience with agentic workflows, including multi-step reasoning, tool use and planner/executor patterns
- Ability to build lightweight service layers and interfaces, such as FastAPI, to inspect and evaluate extraction and retrieval quality
- Advanced experience with entity resolution, graph learning or hybrid database architectures that combine graph, vector and relational systems
- Experience with major cloud AI ecosystems such as Azure OpenAI, AWS Bedrock, GCP Vertex or comparable self-hosted solutions
ABOUT GALLUP
At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; mass transit reimbursement; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates’ wellbeing.
We also offer an estimated annual salary range of $165,000-$225,000 for this role. Salaries are based on a variety of factors, including an individual’s education, experience and skills.
Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law.
To review Gallup’s Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States.
Research Scientist Job Roles in Washington DC
See all Research Scientist Jobs in Washington DC
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Research Scientist Jobs in Washington DCResearch Scientist Jobs in Washington DC: Frequently Asked Questions
Which companies and institutions sponsor visas for research scientists in Washington DC?
Federal contractors, universities, and policy research organizations are among the most active sponsors in DC. Employers like Leidos, Booz Allen Hamilton, Georgetown University, George Washington University, Howard University, and the American Institutes for Research have sponsored H-1B visas for research scientists. Government-affiliated research centers and nonprofits with federal funding also regularly sponsor international researchers, particularly in health sciences, social science, and technology policy.
Which visa types are most common for research scientist roles in Washington DC?
The H-1B is the most common visa for research scientists in DC, covering roles that require at least a bachelor's degree in a specific specialty field. University-affiliated researchers may also qualify for the J-1 visa exchange visitor visa or, for those with exceptional credentials, the O-1A. Researchers pursuing permanent residency often pursue the EB-1B (outstanding researcher) or EB-2 National Interest Waiver, both of which are well-suited to scientific and policy research careers.
How to find research scientist visa sponsorship jobs in Washington DC?
Migrate Mate is built specifically for international job seekers and filters research scientist roles in Washington DC by visa sponsorship eligibility. Rather than sorting through thousands of unfiltered postings, you can browse positions from employers who have a documented history of sponsoring work visas. This is particularly useful in DC, where sponsorship availability varies significantly between federal contractors, nonprofits, and academic institutions.
Which areas of Washington DC have the most research scientist sponsorship jobs?
DC is a single-district jurisdiction, but research hiring is clustered in distinct corridors. The Georgetown and Foggy Bottom neighborhoods host major university medical and policy research centers. The NIH campus sits just across the Maryland border in Bethesda and draws significant DC-area talent. Downtown DC concentrates think tanks and policy research organizations along K Street and Massachusetts Avenue, which collectively employ large numbers of sponsored researchers.
Are there any DC-specific considerations for research scientists seeking visa sponsorship?
Many research scientist roles in DC involve work with federal agencies or access to sensitive data, which can create security clearance requirements. Clearance eligibility is generally limited to U.S. citizens and lawful permanent residents, so international researchers on H-1B or J-1 visas may find certain positions inaccessible. Focusing on university research labs, nonprofits, and contractors with unclassified research portfolios tends to yield more sponsorship-eligible openings for international candidates.
What is the prevailing wage for sponsored research scientist jobs in Washington DC?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.