Assistant Professor Visa Sponsorship Jobs in Washington DC
Washington DC's assistant professor market centers on Georgetown University, American University, George Washington University, and Howard University, alongside federal research institutions like the Smithsonian and think tanks that hold academic appointments. International candidates pursue these roles across policy, law, international affairs, and STEM disciplines, where visa sponsorship is well established.
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Get Access To All JobsINTRODUCTION
The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff “for fit” makes significant contributions to Howard University’s overall mission. At Howard University, we prioritize well-being and professional growth.
Here Is What We Offer
Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
Work-Life Balance: PTO, paid holidays, flexible work arrangements
Financial Wellness: Competitive salary, 403(b) with company match
Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
* Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture
Join Howard University and thrive with us!
The Department of Mathematics in the College of Arts and Sciences at Howard University invites applications for a full-time, tenure-track Assistant or Associate Professor position. The department seeks candidates with research expertise and teaching interests in mathematics enhanced artificial intelligence (AI), with applications to radiology, endocrinology, and related biomedical domains. The anticipated start date is August 2026. This position is part of the Provost’s Artificial Intelligence Cluster Hire Initiative and is embedded within the interdisciplinary cluster “Advancing Health through Mathematics-Enhanced AI for Radiology and Endocrinology”, jointly led by the College of Arts and Sciences and the College of Medicine. The cluster aims to strengthen university-wide research capacity by recruiting faculty whose scholarship advances mathematical foundations, modeling, and computational methodologies that support AI-driven biomedical discovery, while fostering collaboration across disciplines.
SUPERVISORY AUTHORITY:
The successful candidate is expected to demonstrate a strong commitment to excellence in teaching, mentoring, and service. The faculty member will contribute to the growth of the Department of Mathematics’ research and academic programs in data science, applied mathematics, and AI, and will actively participate in interdisciplinary initiatives across the university.
Nature And Scope
From a mathematics-centered perspective, this position emphasizes the development and application of mathematical theory, statistical modeling, and computational methods that underpin modern AI and machine learning approaches in biomedical sciences. The cluster seeks to advance quantitative frameworks for imaging, inference, prediction, and decision-making in complex biological and clinical systems. The successful candidate will contribute to an interdisciplinary academic environment through research, teaching, mentorship, and collaboration. Responsibilities include leading independent and collaborative research programs at the interface of mathematics, AI, and biomedical imaging; contributing to undergraduate and graduate curriculum development; mentoring students; and conducting research that addresses health disparities and promotes inclusive excellence.
Principal Accountabilities
Conduct high-quality, externally visible research in applied mathematics, machine learning, and artificial intelligence, with relevance to biology and medicine.
Develop and sustain an externally funded research program, including collaborative interdisciplinary projects.
Teach undergraduate and graduate courses in mathematics, data science, machine learning, and artificial intelligence.
Supervise and mentor undergraduate and graduate students, postdoctoral scholars, and junior researchers.
* Collaborate with faculty across mathematics, medicine, and related disciplines to advance AI-enabled quantitative methods for biomedical applications.
Core Competencies
The Department of Mathematics particularly encourages applicants with expertise in one or more of the following areas:
Mathematical Foundations of AI and Machine Learning: Optimization, statistical learning theory, inverse problems, uncertainty quantification, dynamical systems, or computational mathematics relevant to AI.
AI and Data-Driven Modeling in Biomedicine: Development of mathematical and computational methods for imaging, neuroscience, endocrinology, diabetes, or other data-intensive biomedical domains.
* Interdisciplinary Research and Collaboration: Demonstrated ability to collaborate with clinicians, biologists, or engineers to develop mathematically grounded AI/ML approaches for complex biological and medical datasets.
Minimum Requirements
Ph.D. in Mathematics, Applied Mathematics, Computer Science, Data Science, Artificial Intelligence, or a closely related field.
Strong research record in mathematics-driven AI or ML, with applications to biology or medicine, evidenced by peer-reviewed publications.
Demonstrated ability or clear potential to secure external research funding.
Evidence of excellence or strong potential in undergraduate and graduate teaching.
* Commitment to interdisciplinary collaboration, student mentorship, and advancing diversity, equity, and inclusion in teaching and research.
Compliance Salary Range Disclosure
Compensation Range: $135,000 - $150,000
INTRODUCTION
The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff “for fit” makes significant contributions to Howard University’s overall mission. At Howard University, we prioritize well-being and professional growth.
Here Is What We Offer
Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
Work-Life Balance: PTO, paid holidays, flexible work arrangements
Financial Wellness: Competitive salary, 403(b) with company match
Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
* Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture
Join Howard University and thrive with us!
The Department of Mathematics in the College of Arts and Sciences at Howard University invites applications for a full-time, tenure-track Assistant or Associate Professor position. The department seeks candidates with research expertise and teaching interests in mathematics enhanced artificial intelligence (AI), with applications to radiology, endocrinology, and related biomedical domains. The anticipated start date is August 2026. This position is part of the Provost’s Artificial Intelligence Cluster Hire Initiative and is embedded within the interdisciplinary cluster “Advancing Health through Mathematics-Enhanced AI for Radiology and Endocrinology”, jointly led by the College of Arts and Sciences and the College of Medicine. The cluster aims to strengthen university-wide research capacity by recruiting faculty whose scholarship advances mathematical foundations, modeling, and computational methodologies that support AI-driven biomedical discovery, while fostering collaboration across disciplines.
SUPERVISORY AUTHORITY:
The successful candidate is expected to demonstrate a strong commitment to excellence in teaching, mentoring, and service. The faculty member will contribute to the growth of the Department of Mathematics’ research and academic programs in data science, applied mathematics, and AI, and will actively participate in interdisciplinary initiatives across the university.
Nature And Scope
From a mathematics-centered perspective, this position emphasizes the development and application of mathematical theory, statistical modeling, and computational methods that underpin modern AI and machine learning approaches in biomedical sciences. The cluster seeks to advance quantitative frameworks for imaging, inference, prediction, and decision-making in complex biological and clinical systems. The successful candidate will contribute to an interdisciplinary academic environment through research, teaching, mentorship, and collaboration. Responsibilities include leading independent and collaborative research programs at the interface of mathematics, AI, and biomedical imaging; contributing to undergraduate and graduate curriculum development; mentoring students; and conducting research that addresses health disparities and promotes inclusive excellence.
Principal Accountabilities
Conduct high-quality, externally visible research in applied mathematics, machine learning, and artificial intelligence, with relevance to biology and medicine.
Develop and sustain an externally funded research program, including collaborative interdisciplinary projects.
Teach undergraduate and graduate courses in mathematics, data science, machine learning, and artificial intelligence.
Supervise and mentor undergraduate and graduate students, postdoctoral scholars, and junior researchers.
* Collaborate with faculty across mathematics, medicine, and related disciplines to advance AI-enabled quantitative methods for biomedical applications.
Core Competencies
The Department of Mathematics particularly encourages applicants with expertise in one or more of the following areas:
Mathematical Foundations of AI and Machine Learning: Optimization, statistical learning theory, inverse problems, uncertainty quantification, dynamical systems, or computational mathematics relevant to AI.
AI and Data-Driven Modeling in Biomedicine: Development of mathematical and computational methods for imaging, neuroscience, endocrinology, diabetes, or other data-intensive biomedical domains.
* Interdisciplinary Research and Collaboration: Demonstrated ability to collaborate with clinicians, biologists, or engineers to develop mathematically grounded AI/ML approaches for complex biological and medical datasets.
Minimum Requirements
Ph.D. in Mathematics, Applied Mathematics, Computer Science, Data Science, Artificial Intelligence, or a closely related field.
Strong research record in mathematics-driven AI or ML, with applications to biology or medicine, evidenced by peer-reviewed publications.
Demonstrated ability or clear potential to secure external research funding.
Evidence of excellence or strong potential in undergraduate and graduate teaching.
* Commitment to interdisciplinary collaboration, student mentorship, and advancing diversity, equity, and inclusion in teaching and research.
Compliance Salary Range Disclosure
Compensation Range: $135,000 - $150,000
Assistant Professor Job Roles in Washington DC
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Search Assistant Professor Jobs in Washington DCAssistant Professor Jobs in Washington DC: Frequently Asked Questions
Which visa types are most common for assistant professor roles in Washington DC?
The H-1B is the most common visa for assistant professors in Washington DC, as the role typically qualifies as a specialty occupation requiring at minimum a master's or doctoral degree. Universities also frequently use the O-1A for candidates with extraordinary academic achievement. Many institutions additionally support J-1 exchange visitor status for early-career researchers, though J-1 holders may be subject to a two-year home residency requirement.
Which employers sponsor visas for assistant professors in Washington DC?
Georgetown University, George Washington University, American University, Howard University, and Catholic University of America are among the most active visa sponsors for assistant professors in DC. The Smithsonian Institution sponsors research-track academic appointments, and several DC-based think tanks such as the Brookings Institution hold faculty-equivalent positions that involve sponsorship for international scholars.
How to find assistant professor visa sponsorship jobs in Washington DC?
Migrate Mate filters assistant professor job listings specifically to employers in Washington DC who have a documented history of visa sponsorship. Rather than sorting through general academic postings, you can search by role and location to surface positions where international candidates are realistically considered. This is particularly useful for narrowing down which DC institutions are actively hiring and open to sponsoring H-1B or O-1 petitions.
Which parts of Washington DC have the most assistant professor sponsorship opportunities?
Most assistant professor sponsorship activity in DC is concentrated around the Northwest corridor, where Georgetown, GWU, and American University are located, and along the Georgia Avenue corridor near Howard University. Foggy Bottom and the Capitol Hill area also host research affiliates and policy-focused academic programs. The District functions as a single labor market, so commuting across neighborhoods for these roles is common.
Are there unique considerations for international assistant professors hired in Washington DC?
DC institutions frequently hire for interdisciplinary roles at the intersection of policy, law, and international affairs, which can complicate the specialty occupation determination for H-1B purposes if the degree field and job duties aren't tightly aligned. Many DC universities also have active PERM-based green card pipelines for tenure-track hires. Candidates coming from federal research fellowships or J-1 programs should confirm whether a waiver of the two-year home residency requirement applies before pursuing H-1B sponsorship.
What is the prevailing wage for sponsored assistant professor 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.
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