Green Card AI Research Engineer Jobs
AI Research Engineer roles qualify for EB-2 green card sponsorship when they require an advanced degree in machine learning, computer science, or a related field. Employers file PERM labor certification with DOL before sponsoring your I-140 petition, creating a path to permanent residency rather than a temporary work authorization.
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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 as an AI Research Engineer
Document your research contributions before applying
PERM requires your employer to define the job's minimum requirements around your actual qualifications. Gather publications, patents, conference presentations, and GitHub repositories now, since EB-2 petitions live or die on credential specificity.
Target employers with active PERM filing history
AI research roles at national labs, established tech companies, and R&D-focused enterprises file PERM far more consistently than early-stage startups. Use the OFLC Wage Search to verify whether a prospective employer has sponsored similar roles before.
Understand how your O*NET classification affects your petition
AI Research Engineer maps to specific O*NET codes that DOL uses to benchmark prevailing wages and define the labor market test. Confirm your job duties match the O*NET profile before your employer submits the PERM application to avoid an audit.
Use Migrate Mate to filter jobs by green card sponsorship
Searching broadly wastes time on employers who sponsor H-1B visa but won't commit to PERM. Migrate Mate lets you filter AI Research Engineer roles specifically by employment-based green card sponsorship so every application targets a viable path to permanent residency.
Ask about EB-2 versus EB-3 routing during salary negotiations
Employers sometimes default to EB-3 to simplify the labor market test, but EB-2 can offer faster priority dates for certain nationalities. Raise this with your hiring contact before an offer is finalized, not after PERM is already filed.
File I-485 concurrently if your priority date is current
Once your employer files the I-140, USCIS allows concurrent adjustment of status if your country's priority date is immediately available. For nationals of countries without significant EB-2 backlogs, this collapses the timeline considerably compared to waiting sequentially.
Green Card AI Research Engineer: Frequently Asked Questions
Does an AI Research Engineer role qualify for EB-2 or EB-3 sponsorship?
AI Research Engineer positions typically qualify for EB-2 sponsorship because they normally require a master's degree or Ph.D. in machine learning, computer science, or a related discipline. If the employer defines the role as requiring only a bachelor's degree, it may fall under EB-3. The classification depends on the specific job requirements your employer documents in the PERM application, not just your personal credentials.
How does PERM green card sponsorship differ from H-1B for this role?
H-1B grants temporary work authorization for up to six years and is subject to an annual lottery. PERM-based green card sponsorship leads to permanent residency with no cap lottery at the EB-3 level for most nationalities. The trade-off is timeline: PERM labor certification, I-140 approval, and adjustment of status can take two to four years or longer depending on your country of birth, versus an H-1B that can start within months.
What does the PERM labor market test mean for AI Research Engineer openings?
DOL requires your employer to advertise the AI Research Engineer role to U.S. workers before sponsoring a foreign national through PERM. The job posting must reflect the actual minimum requirements of the position. Overstating qualifications to match only your credentials is a common audit trigger. Your employer must retain recruitment records for five years after filing.
How can I find AI Research Engineer jobs that offer green card sponsorship?
Most general job searches don't distinguish between employers willing to file PERM and those who only offer H-1B transfers. Migrate Mate filters AI Research Engineer roles by employment-based green card sponsorship, so you're only seeing positions where the employer has a documented history of supporting permanent residency. That saves significant time compared to asking about sponsorship company by company.
Can I switch employers after my green card sponsorship has started?
Under AC21 portability rules, you can change employers after 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 Research Engineer positions, a move to a closely related research or engineering role at a new employer generally qualifies, but USCIS evaluates the facts of each case individually.