Green Card Biology Jobs
Biology roles in research, biotech, and environmental science qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process. Employers file a PERM application with DOL before petitioning USCIS, putting you on a path to permanent residency rather than a temporary visa.
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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 Biology
Document your biology credentials precisely
PERM requires your degree field to match the job's minimum requirements. A degree in biochemistry or microbiology supports different roles than a general biology degree, so verify the SOC code your employer plans to use before recruiting begins.
Target employers with active PERM filing history
Biotech firms, pharmaceutical companies, and federal research contractors file PERM more frequently than academic labs or small environmental consultancies. Searching DOL's OFLC disclosure data by occupation filters for employers who have successfully sponsored biology professionals before.
Use Migrate Mate to find sponsoring biology employers
Many biology job postings never mention green card sponsorship even when the employer is willing. Migrate Mate surfaces companies with verified PERM filing history for biology and life science roles, so you target interviews where sponsorship is already on the table.
Verify prevailing wage before accepting an offer
DOL sets prevailing wage at Levels I through IV for each biology SOC code by location. Use OFLC Wage Search to confirm your offered salary meets the required level before signing, since a wage below DOL's threshold will cause the PERM application to fail.
Ask employers about PERM recruitment timing upfront
PERM requires employers to complete supervised recruitment before filing, typically adding four to six months before the I-140 petition even starts. Asking about this timeline during the offer stage tells you whether the employer has done this before and how they plan to proceed.
Check your O*NET profile to confirm specialty occupation status
EB-2 eligibility for biology roles depends on the position requiring an advanced degree. The O*NET occupation profile for your specific role shows the typical education level, which supports your employer's PERM job requirements and strengthens the I-140 petition.
Green Card Biology: Frequently Asked Questions
Do biology roles qualify for EB-2 or EB-3 green card sponsorship?
Most biology positions qualify for EB-3 as professional roles requiring at least a bachelor's degree. Roles requiring a master's degree or higher, such as senior research scientists or regulatory affairs specialists in biotech, can qualify for EB-2. Your employer specifies the minimum requirements in the PERM job description, which determines which category applies.
How does green card sponsorship differ from H-1B for biology professionals?
H-1B visa is a temporary status capped at 65,000 slots annually with a lottery, while EB-3 green card sponsorship has no annual lottery and leads to permanent residency. The tradeoff is timeline: PERM labor certification adds six to eighteen months before you file the I-140 petition. For nationals of countries without significant visa backlogs at the EB-3 level, the green card path can be faster long-term than cycling through H-1B renewals.
Where can I find biology employers that sponsor green cards?
Migrate Mate filters job opportunities by verified PERM and green card sponsorship history, so you can search biology and life science roles knowing the employer has sponsored foreign workers before. This is more reliable than filtering general job postings by keywords, since most listings don't disclose sponsorship willingness upfront.
What happens to my green card case if I change biology employers mid-process?
If your I-140 petition has been approved for more than 180 days, you may be able to port your priority date to a new employer under a similar biology occupation without restarting PERM from scratch. Before the 180-day mark, changing employers generally requires your new employer to file a new PERM application and I-140, which resets your place in line.
Does a biology master's degree automatically qualify me for EB-2?
Not automatically. The EB-2 category requires both that you hold an advanced degree and that the job itself requires one. If your employer's PERM job description lists a bachelor's degree as sufficient, USCIS will classify the petition as EB-3 regardless of your actual credentials. Your employer must structure the minimum job requirements at the master's level for EB-2 to apply.