Green Card AI Researcher Jobs
AI Researcher roles qualify for EB-2 sponsorship when the position requires a master's or doctoral degree in machine learning, computer science, or a related field. Employers file a PERM labor certification with DOL before petitioning USCIS, making sponsorship a multi-step process that typically takes two to four years for most nationalities.
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Get Access To All JobsINTRODUCTION
We are seeking an AI Research Specialist in Computational Biology to join our efforts, working at the intersection of AI-driven data science and experimental biology. The successful candidate will carry complex, heterogeneous biological datasets from analysis and interpretation through to the interactive tools that enable scientists and autonomous systems to act on the results.
The scope of this position is intentionally broad. Rather than owning a narrow stage of an established pipeline, the successful candidate will lead end-to-end projects, moving between analysis, engineering, and interface design as each project requires. Representative work includes mapping functional biological terms and ontologies to one another using data science techniques and surfacing the results in purpose-built visualizations; developing dashboards used by our group and our external collaborators to monitor data streaming from our automated laboratory, backed by an API that allows AI agents to engage with and autonomously drive the lab; and performing multimodal analysis of video captured from microfluidic devices during live experiments.
Fluency in co-working with AI is a defining requirement of this role. The successful candidate will use large language models as a core element of their daily practice, enabling a single scientist to deliver at a scale that would otherwise require a team. Demonstrated ability to direct, evaluate, correct, and build upon AI-generated work is essential.
CORE RESPONSIBILITIES
- Lead complex biological data analysis projects from framing through delivery, applying data science and AI techniques to extract meaningful patterns, trends, and variables from large and heterogeneous datasets.
- Design and build interactive dashboards that allow scientists to visualize, explore, manipulate, and curate biological data.
- Build and maintain the full-stack platforms and backend infrastructure that support those dashboards.
- Develop APIs and data pipelines that expose laboratory data and analysis results to both human collaborators and autonomous AI systems.
- Apply embedding-based approaches — across natural language, biological sequence, and other modalities — to problems where they offer analytical leverage.
- Work directly with experimental scientists to understand their goals, elicit requirements, and translate them into working tools and analyses.
- Communicate complex results to technical and non-technical audiences in a form they can grasp quickly.
POSITION REQUIREMENTS
Required:
- Minimum of a Bachelor's degree in computational biology, bioinformatics, data science, computer science, or a closely related field.
- Biology domain expertise: A background in biology sufficient to reason independently about biological data and to engage substantively with experimental scientists.
- Python: Demonstrated proficiency as a primary working language for data science and application development.
- Data science: Experience analyzing complex, heterogeneous datasets to identify important trends, relationships, and variables of interest.
- Visual dashboard development: Demonstrated experience building dashboards for data analysis, visualization, and curation by human users.
- Backend and API development: Experience building the backend services and APIs that support data-facing applications.
- Data embeddings: A working understanding of how embedding technology functions and the ability to apply it creatively across domains — including language embeddings and protein sequence embeddings.
- Co-working with AI: Practical experience using large language models as a primary tool for building software and conducting analysis.
- Collaboration and communication: The ability to present complex results clearly and quickly to varied audiences, and to work with scientists to elicit and understand their underlying needs.
- Ability to model Argonne's core values of impact, safety, respect, integrity and teamwork.
Preferred:
- Experience with multimodal data analysis on biological datasets, working across data modalities (e.g., imaging or video alongside structured or sequence data).
- Experience with laboratory automation, instrument data streams, or agent-driven experimental systems.
- Prior work supporting research groups or scientific collaborators in a service or partnership capacity.
- Familiarity with genome annotation, metabolic modeling, or systems biology (e.g., KBase, ModelSEED, KEGG).
JOB FAMILY
Research Development (RD)
JOB PROFILE
Computational Science 1
WORKER TYPE
Long-Term (Fixed Term)
TIME TYPE
Full time
COMPENSATION
- The expected hiring range for this position is $78,505.00 - $122,467.41.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.
INTRODUCTION
We are seeking an AI Research Specialist in Computational Biology to join our efforts, working at the intersection of AI-driven data science and experimental biology. The successful candidate will carry complex, heterogeneous biological datasets from analysis and interpretation through to the interactive tools that enable scientists and autonomous systems to act on the results.
The scope of this position is intentionally broad. Rather than owning a narrow stage of an established pipeline, the successful candidate will lead end-to-end projects, moving between analysis, engineering, and interface design as each project requires. Representative work includes mapping functional biological terms and ontologies to one another using data science techniques and surfacing the results in purpose-built visualizations; developing dashboards used by our group and our external collaborators to monitor data streaming from our automated laboratory, backed by an API that allows AI agents to engage with and autonomously drive the lab; and performing multimodal analysis of video captured from microfluidic devices during live experiments.
Fluency in co-working with AI is a defining requirement of this role. The successful candidate will use large language models as a core element of their daily practice, enabling a single scientist to deliver at a scale that would otherwise require a team. Demonstrated ability to direct, evaluate, correct, and build upon AI-generated work is essential.
CORE RESPONSIBILITIES
- Lead complex biological data analysis projects from framing through delivery, applying data science and AI techniques to extract meaningful patterns, trends, and variables from large and heterogeneous datasets.
- Design and build interactive dashboards that allow scientists to visualize, explore, manipulate, and curate biological data.
- Build and maintain the full-stack platforms and backend infrastructure that support those dashboards.
- Develop APIs and data pipelines that expose laboratory data and analysis results to both human collaborators and autonomous AI systems.
- Apply embedding-based approaches — across natural language, biological sequence, and other modalities — to problems where they offer analytical leverage.
- Work directly with experimental scientists to understand their goals, elicit requirements, and translate them into working tools and analyses.
- Communicate complex results to technical and non-technical audiences in a form they can grasp quickly.
POSITION REQUIREMENTS
Required:
- Minimum of a Bachelor's degree in computational biology, bioinformatics, data science, computer science, or a closely related field.
- Biology domain expertise: A background in biology sufficient to reason independently about biological data and to engage substantively with experimental scientists.
- Python: Demonstrated proficiency as a primary working language for data science and application development.
- Data science: Experience analyzing complex, heterogeneous datasets to identify important trends, relationships, and variables of interest.
- Visual dashboard development: Demonstrated experience building dashboards for data analysis, visualization, and curation by human users.
- Backend and API development: Experience building the backend services and APIs that support data-facing applications.
- Data embeddings: A working understanding of how embedding technology functions and the ability to apply it creatively across domains — including language embeddings and protein sequence embeddings.
- Co-working with AI: Practical experience using large language models as a primary tool for building software and conducting analysis.
- Collaboration and communication: The ability to present complex results clearly and quickly to varied audiences, and to work with scientists to elicit and understand their underlying needs.
- Ability to model Argonne's core values of impact, safety, respect, integrity and teamwork.
Preferred:
- Experience with multimodal data analysis on biological datasets, working across data modalities (e.g., imaging or video alongside structured or sequence data).
- Experience with laboratory automation, instrument data streams, or agent-driven experimental systems.
- Prior work supporting research groups or scientific collaborators in a service or partnership capacity.
- Familiarity with genome annotation, metabolic modeling, or systems biology (e.g., KBase, ModelSEED, KEGG).
JOB FAMILY
Research Development (RD)
JOB PROFILE
Computational Science 1
WORKER TYPE
Long-Term (Fixed Term)
TIME TYPE
Full time
COMPENSATION
- The expected hiring range for this position is $78,505.00 - $122,467.41.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.
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Get Access To All JobsTips for Finding Green Card Sponsorship in AI Researcher
Document your research contributions before applying
PERM requires your employer to define the role's minimum requirements before filing. Publications, patents, conference presentations, and open-source contributions help establish that the position genuinely requires an advanced degree, which strengthens both the job description and your EB-2 eligibility.
Target employers with dedicated immigration infrastructure
AI Researcher roles at companies with in-house immigration teams move through PERM and I-140 faster than those relying on outside counsel alone. Look for employers whose job postings list sponsorship explicitly and whose offer letters reference green card support, not just H-1B visa.
Search green card sponsoring employers using Migrate Mate
Filter AI Researcher openings by employers who have filed PERM applications for this specific job category. Migrate Mate surfaces DOL disclosure data so you can identify which companies have sponsored roles at your level before accepting an offer.
Verify the prevailing wage tier before negotiating salary
DOL assigns a wage level to your PERM application using the OFLC Wage Search. AI Researcher roles often land at Level III or IV. If your offered salary falls below the certified prevailing wage, USCIS will deny the I-140, so confirm the tier early in the offer stage.
Clarify the EB category and priority date strategy with your employer
EB-2 requires a master's degree or equivalent and typically processes faster for most nationalities. EB-3 covers bachelor's-level roles and can sometimes be filed concurrently to secure an earlier priority date. Ask your employer's counsel which category they plan to use and why.
Understand how job duties affect your O*NET classification
PERM filings for AI Researcher positions must match a recognized O*NET occupation code. If your actual duties span multiple categories, like both research and engineering, misclassification can trigger an audit. Review the O*NET description for your role and flag discrepancies to your employer before the labor certification is filed.
Green Card AI Researcher: Frequently Asked Questions
Does an AI Researcher role qualify for EB-2 or EB-3 sponsorship?
Most AI Researcher positions qualify for EB-2 because they require a master's or doctoral degree in computer science, machine learning, or a related field. If the employer defines the role at the bachelor's level, EB-3 applies instead. Some employers file under both categories simultaneously to secure the earliest possible priority date, which matters most for nationals of India and China where backlogs are longest.
How does green card sponsorship differ from H-1B for AI Researcher roles?
The H-1B is a temporary status with a three-year initial period and an annual lottery cap, while PERM-based green card sponsorship leads to permanent residency with no cap concerns at the EB-3 level for most nationalities. The tradeoff is time: green card processing typically takes two to four years from PERM filing to I-485 approval, compared to H-1B approval in a few months. The process also requires your employer to run a formal recruitment campaign before filing.
What does the PERM labor certification require for an AI Researcher position?
Your employer must conduct a DOL-mandated recruitment process, including job postings, print advertisements, and internal notices, to demonstrate no qualified U.S. workers are available. The job requirements written into the PERM application must reflect what the role genuinely needs, not what would make you uniquely qualified. AI Researcher roles with overly narrow requirements, like a specific framework or proprietary tool, are common audit triggers.
How can I find employers who sponsor green cards for AI Researcher roles?
Use Migrate Mate to filter AI Researcher openings by employers with a PERM filing history for this specific role type. DOL publishes PERM disclosure data, and Migrate Mate surfaces it so you can see which companies have successfully sponsored candidates at this job level before you apply, saving time on employers who only offer H-1B support.
Can I change employers after my PERM is filed but before my green card is approved?
Yes, under AC21 portability rules you can change employers once your I-140 is approved and your I-485 has been pending for at least 180 days, as long as the new role is in the same or a similar occupational classification. For AI Researcher roles this is usually straightforward since the DOT occupational categories are broadly defined, but your new employer should review your case with immigration counsel before you accept an offer.