Research Scientist Visa Sponsorship Jobs in Virginia
Virginia is one of the strongest states for research scientist visa sponsorship, anchored by federal contractors, defense labs, and major research universities. Northern Virginia's technology corridor, the Richmond biotech cluster, and institutions like George Mason University and Virginia Tech create steady demand for research scientists requiring H-1B visa and O-1 visa sponsorship.
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Get Access To All JobsINTRODUCTION
The Health, Education, AI, and Learning (HEAL) Division of the Virginia Modeling Analysis and Simulation (VMASC) and the National Center for Collaboration in Medical Modeling and Simulation (NCCMMS) is seeking a highly motivated and creative Postdoctoral Researcher to conduct foundational and applied research in artificial intelligence, deep learning, and advanced neural network architectures. You will join a multidisciplinary team of computer scientists, engineers, human factors experts, instructional designers, and medical education experts to design novel algorithms, build scalable training pipelines, and apply cutting-edge machine learning models to complex, real-world challenges and in pursuit of commercially viable products.
ROLE AND RESPONSIBILITIES
- Algorithm Development: Design, implement, and evaluate novel deep learning architectures, neural surrogate models, or brain-inspired computing algorithms.
- Experimentation & Scaling: Plan rigorous, reproducible training evaluations, ablation studies, and GPU-accelerated experiments across small & large datasets.
- Software Engineering: Develop, test, document, and maintain robust, open-source Python research software using modern version control workflows (e.g., Git).
- Publication & Dissemination: Write and collaborate on high-impact research articles for peer-reviewed journals and present findings at premier international AI/ML conferences (e.g., NeurIPS, ICML, ICLR).
- Collaboration & Mentorship: Collaborate effectively within interdisciplinary/transdisciplinary research groups and assist in mentoring junior graduate or undergraduate researchers.
MINIMUM QUALIFICATIONS
- Education: Ph.D. in Computer Science, Artificial Intelligence, Applied Mathematics, Data Science, Computational Physics, Electrical & Computer Engineering, or a closely related quantitative field (conferred by December 2026 and within the past 5 years).
- Technical Expertise: Demonstrated research experience in human-computer interaction, machine learning, and deep learning. Solid technical foundation in development and evaluation of supervised, unsupervised, and/or reinforcement learning models. Experience with discriminative and generative models.
- Programming Skills: Strong programming proficiency in Python and hands-on experience with modern deep learning frameworks such as TensorFlow, PyTorch, or JAX.
PREFERRED QUALIFICATIONS
- Experience working with multimodal neural network development, including video recordings, audio transcripts, and associated digital human performance scores, is desired.
- Experience with specialized architectures (GPUs, TPUs).
- Background in physics-informed neural networks (PINNs), foundation models, world models, or uncertainty quantification.
- Special experience with high-performance computing (HPC) environments and distributed training workflows.
This position is being filled through the Research Foundation, which is a separate entity from Old Dominion University (ODU). While we work in support of ODU, the Research Foundation operates independently and is a not-for-profit, tax-exempt 501(c)(3) organization.
To apply: click Job Browsing; and follow the link for position #26-058. Review of applications will begin immediately and will continue until the position is filled.
The organization is an equal opportunity and affirmative action employer (AA/EOE/M/F/Disability/VETS/Drug-Free Workplace). We are committed to providing equal employment opportunity to all individuals in accordance with applicable federal, state, and local laws. Employment decisions — including recruitment, hiring, training, compensation, and promotion — are made without regard to race, color, religion, sex, national origin, physical or mental disability, genetic information, age, protected veteran status, or any other protected characteristic. Affirmative action efforts are conducted consistent with applicable laws to promote equal opportunity in employment and advancement.
As part of our commitment to pay transparency and compliance with applicable laws, the Research Foundation includes a good-faith salary range in all job postings. These ranges represent the expected hiring range for the position, not the full compensation band.
Final salary offers may vary depending on factors such as experience, qualifications, skills, internal equity, and budget availability.
Expected Salary Range: $55,000 to $65,000
INTRODUCTION
The Health, Education, AI, and Learning (HEAL) Division of the Virginia Modeling Analysis and Simulation (VMASC) and the National Center for Collaboration in Medical Modeling and Simulation (NCCMMS) is seeking a highly motivated and creative Postdoctoral Researcher to conduct foundational and applied research in artificial intelligence, deep learning, and advanced neural network architectures. You will join a multidisciplinary team of computer scientists, engineers, human factors experts, instructional designers, and medical education experts to design novel algorithms, build scalable training pipelines, and apply cutting-edge machine learning models to complex, real-world challenges and in pursuit of commercially viable products.
ROLE AND RESPONSIBILITIES
- Algorithm Development: Design, implement, and evaluate novel deep learning architectures, neural surrogate models, or brain-inspired computing algorithms.
- Experimentation & Scaling: Plan rigorous, reproducible training evaluations, ablation studies, and GPU-accelerated experiments across small & large datasets.
- Software Engineering: Develop, test, document, and maintain robust, open-source Python research software using modern version control workflows (e.g., Git).
- Publication & Dissemination: Write and collaborate on high-impact research articles for peer-reviewed journals and present findings at premier international AI/ML conferences (e.g., NeurIPS, ICML, ICLR).
- Collaboration & Mentorship: Collaborate effectively within interdisciplinary/transdisciplinary research groups and assist in mentoring junior graduate or undergraduate researchers.
MINIMUM QUALIFICATIONS
- Education: Ph.D. in Computer Science, Artificial Intelligence, Applied Mathematics, Data Science, Computational Physics, Electrical & Computer Engineering, or a closely related quantitative field (conferred by December 2026 and within the past 5 years).
- Technical Expertise: Demonstrated research experience in human-computer interaction, machine learning, and deep learning. Solid technical foundation in development and evaluation of supervised, unsupervised, and/or reinforcement learning models. Experience with discriminative and generative models.
- Programming Skills: Strong programming proficiency in Python and hands-on experience with modern deep learning frameworks such as TensorFlow, PyTorch, or JAX.
PREFERRED QUALIFICATIONS
- Experience working with multimodal neural network development, including video recordings, audio transcripts, and associated digital human performance scores, is desired.
- Experience with specialized architectures (GPUs, TPUs).
- Background in physics-informed neural networks (PINNs), foundation models, world models, or uncertainty quantification.
- Special experience with high-performance computing (HPC) environments and distributed training workflows.
This position is being filled through the Research Foundation, which is a separate entity from Old Dominion University (ODU). While we work in support of ODU, the Research Foundation operates independently and is a not-for-profit, tax-exempt 501(c)(3) organization.
To apply: click Job Browsing; and follow the link for position #26-058. Review of applications will begin immediately and will continue until the position is filled.
The organization is an equal opportunity and affirmative action employer (AA/EOE/M/F/Disability/VETS/Drug-Free Workplace). We are committed to providing equal employment opportunity to all individuals in accordance with applicable federal, state, and local laws. Employment decisions — including recruitment, hiring, training, compensation, and promotion — are made without regard to race, color, religion, sex, national origin, physical or mental disability, genetic information, age, protected veteran status, or any other protected characteristic. Affirmative action efforts are conducted consistent with applicable laws to promote equal opportunity in employment and advancement.
As part of our commitment to pay transparency and compliance with applicable laws, the Research Foundation includes a good-faith salary range in all job postings. These ranges represent the expected hiring range for the position, not the full compensation band.
Final salary offers may vary depending on factors such as experience, qualifications, skills, internal equity, and budget availability.
Expected Salary Range: $55,000 to $65,000
Research Scientist Job Roles in Virginia
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Search Research Scientist Jobs in VirginiaResearch Scientist Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for research scientists in Virginia?
Major sponsors include federal contractors like Leidos, Booz Allen Hamilton, SAIC, and Northrop Grumman, which operate large research divisions across Northern Virginia and the Hampton Roads area. Academic institutions such as George Mason University, Virginia Tech, and University of Virginia regularly sponsor research scientists. Biotechnology and life sciences employers in the Richmond and Charlottesville areas also appear consistently in DOL sponsorship records.
Which visa types are most common for research scientist roles in Virginia?
The H-1B is the most common visa for research scientist positions in Virginia, as these roles typically require at least a bachelor's degree in a specific scientific field, satisfying the specialty occupation requirement. The O-1A is an option for researchers with demonstrated distinction, such as peer-reviewed publications or major awards. Research scientists at universities may also encounter J-1 visa exchange visitor status for postdoctoral appointments, though that category does not constitute permanent employer sponsorship.
Which cities in Virginia have the most research scientist sponsorship jobs?
Northern Virginia, particularly the corridor spanning Arlington, Fairfax, Reston, and McLean, accounts for the largest concentration due to proximity to federal agencies and defense contractors. Charlottesville and Blacksburg see consistent demand driven by the University of Virginia and Virginia Tech research programs respectively. Richmond has a growing life sciences presence, and the Hampton Roads region hosts Navy and Department of Defense research facilities that generate sponsored research scientist openings.
How to find research scientist visa sponsorship jobs in Virginia?
Migrate Mate filters research scientist jobs specifically by visa sponsorship availability, so you can browse Virginia openings without sorting through roles that don't support international candidates. The platform surfaces positions from federal contractors, universities, and private research employers across Northern Virginia, Charlottesville, Richmond, and beyond. Filtering by research scientist roles in Virginia on Migrate Mate is the most direct way to identify active sponsoring employers in the state.
Are there state-specific factors research scientists should know when pursuing sponsorship in Virginia?
Virginia's high concentration of federal contractors means many research scientist roles require security clearances, which can complicate or delay sponsorship for candidates who are not yet permanent residents or citizens. Employers in the defense and intelligence sectors sometimes prefer to sponsor candidates for permanent residence directly rather than H-1B status. University-based research positions often operate on academic hiring timelines, so application windows may open well in advance of the intended start date.
What is the prevailing wage for sponsored research scientist jobs in Virginia?
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.