Green Card Research Scientist Jobs
Research Scientist roles qualify for EB-2 sponsorship when the position requires a master's or doctoral degree in a specialized field, and for EB-3 when a bachelor's degree applies. Employers must complete PERM labor certification before filing your I-140 petition, making early sponsorship conversations essential.
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Get Access To All JobsScientist, Research Data Modeling
Location: Princeton, NJ
We are seeking a Scientist, Research Data Modeling to join our Data Science & AI organization, working within the Research Data Domain. In this role, you will design and deliver data models that help transform diverse scientific, experimental, and operational research data into trusted, discoverable, reusable, and AI-ready assets.
You will work closely with senior data modelers, scientists, data engineers, data governance specialists, and platform teams to support research data products and use cases across formulation, ingredient discovery, laboratory workflows, experimental data, and other scientific domains.
The ideal candidate has a strong foundation in data modeling, good technical understanding of modern data platforms, and an interest in applying data management and modeling practices to complex research environments.
Key Responsibilities:
- Design and maintain conceptual, logical, and/or physical data models for research and scientific data domains.
- Work with scientists and business stakeholders to understand data needs, capture requirements, and translate them into practical data structures.
- Collaborate with data engineers and platform teams to implement models in Databricks environments, or other enterprise data platforms.
- Apply data modelling standards and best practices, including FAIR principles, metadata management, semantic clarity, and reusable data design.
- Work in multidisciplinary teams across Science & Research, Data Science & AI, Digital & Technology, and business domains.
We Offer:
- A rich history and a promising future of bold scientific innovation and passionate creation for our customers in health, nutrition, and beauty.
- The opportunity to shape foundational research data capabilities that enable analytics, AI, and scientific innovation.
- A hybrid working environment with competitive benefits and a clear scientific career progression within Science & Research.
- A global, diverse, and multicultural team of colleagues across scientific, technical, and business disciplines.
- A space to grow by encouraging curiosity, openness, experimentation, and continuous learning.
- Barrier-free communities where every employee is equally valued and respected, regardless of background, beliefs, or identity.
- An eagerness to be one team and learn from each other to bring progress to life and create a better future.
You Bring:
- PhD, Master’s, or Bachelor’s degree in a scientific, engineering, data, informatics, or related discipline, with relevant experience in research, data modelling, data analysis, engineering, or informatics.
- Typically 2+ years of relevant experience for Master’s/Bachelor’s candidates; PhD candidates with relevant research/data experience are also encouraged to apply.
- Hands-on experience in conceptual, logical, and/or physical data modelling, including approaches such as dimensional, Data Vault, semantic, or entity-relationship modelling.
- Experience or strong interest in research, R&D, laboratory, formulation, nutrition, biotech, pharma, microbiome, omics, or related scientific data environments.
- Working knowledge of FAIR principles, metadata, data quality, data governance, stewardship, reusable data products, and modern data platforms/tools such as Databricks, Delta Lake, dbt, SQL, Python, or cloud data platforms.
- Strong communication and collaboration skills, with the ability to work across scientists, data engineers, governance teams, and technical stakeholders to turn ambiguous requirements into structured data models.
The salary or hourly wage scale provided reflects the pay range dsm-firmenich expects to pay the successful candidate for the position. Individual pay offered will be based on the applicant’s job-related skills, experience, relevant education, or training, and primary work location. This position is also eligible for bonuses and benefits, which are not included in the pay scale provided. Salary $100,000-$140,000.
In addition to base salary, we also offer a comprehensive total rewards package, inclusive of annual incentive pay, a retirement savings plan, health care coverage, paid time off, recognition programs and a broad range of other benefits. All benefits and incentives are subject to eligibility requirements.
About dsm-firmenich
At dsm-firmenich, we don’t just meet expectations – we go beyond them.
Join our global team powered by science, creativity, and a shared purpose: to bring progress to life.
From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions – every single day. Whether it’s fragrance that helps you focus, alternative meat that’s better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere.
And while you’re making a difference, we’ll make sure you’re growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They’re essential to our future.
Because real progress only happens when we go beyond, together.
The application process
Interested in this position? Please apply online by uploading your resume in English by September 28, 2026.
Inclusion, belonging and equal opportunity statement
At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work – and that’s exactly the kind of culture we’re building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong.
We’re proud to be an equal opportunity employer, and we’re serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we’re committed to reflecting the world we serve.
We welcome candidates from all backgrounds — no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you.
And if you have a disability or need any support through the application process, we’re here to help – just let us know what you need, and we’ll do everything we can to make it work.
Agency statement
We’re managing this search directly at dsm-firmenich. If you’re applying as an individual, we’d love to hear from you. We’re not accepting agency submissions or proposals involving fees or commissions for this role.
Scientist, Research Data Modeling
Location: Princeton, NJ
We are seeking a Scientist, Research Data Modeling to join our Data Science & AI organization, working within the Research Data Domain. In this role, you will design and deliver data models that help transform diverse scientific, experimental, and operational research data into trusted, discoverable, reusable, and AI-ready assets.
You will work closely with senior data modelers, scientists, data engineers, data governance specialists, and platform teams to support research data products and use cases across formulation, ingredient discovery, laboratory workflows, experimental data, and other scientific domains.
The ideal candidate has a strong foundation in data modeling, good technical understanding of modern data platforms, and an interest in applying data management and modeling practices to complex research environments.
Key Responsibilities:
- Design and maintain conceptual, logical, and/or physical data models for research and scientific data domains.
- Work with scientists and business stakeholders to understand data needs, capture requirements, and translate them into practical data structures.
- Collaborate with data engineers and platform teams to implement models in Databricks environments, or other enterprise data platforms.
- Apply data modelling standards and best practices, including FAIR principles, metadata management, semantic clarity, and reusable data design.
- Work in multidisciplinary teams across Science & Research, Data Science & AI, Digital & Technology, and business domains.
We Offer:
- A rich history and a promising future of bold scientific innovation and passionate creation for our customers in health, nutrition, and beauty.
- The opportunity to shape foundational research data capabilities that enable analytics, AI, and scientific innovation.
- A hybrid working environment with competitive benefits and a clear scientific career progression within Science & Research.
- A global, diverse, and multicultural team of colleagues across scientific, technical, and business disciplines.
- A space to grow by encouraging curiosity, openness, experimentation, and continuous learning.
- Barrier-free communities where every employee is equally valued and respected, regardless of background, beliefs, or identity.
- An eagerness to be one team and learn from each other to bring progress to life and create a better future.
You Bring:
- PhD, Master’s, or Bachelor’s degree in a scientific, engineering, data, informatics, or related discipline, with relevant experience in research, data modelling, data analysis, engineering, or informatics.
- Typically 2+ years of relevant experience for Master’s/Bachelor’s candidates; PhD candidates with relevant research/data experience are also encouraged to apply.
- Hands-on experience in conceptual, logical, and/or physical data modelling, including approaches such as dimensional, Data Vault, semantic, or entity-relationship modelling.
- Experience or strong interest in research, R&D, laboratory, formulation, nutrition, biotech, pharma, microbiome, omics, or related scientific data environments.
- Working knowledge of FAIR principles, metadata, data quality, data governance, stewardship, reusable data products, and modern data platforms/tools such as Databricks, Delta Lake, dbt, SQL, Python, or cloud data platforms.
- Strong communication and collaboration skills, with the ability to work across scientists, data engineers, governance teams, and technical stakeholders to turn ambiguous requirements into structured data models.
The salary or hourly wage scale provided reflects the pay range dsm-firmenich expects to pay the successful candidate for the position. Individual pay offered will be based on the applicant’s job-related skills, experience, relevant education, or training, and primary work location. This position is also eligible for bonuses and benefits, which are not included in the pay scale provided. Salary $100,000-$140,000.
In addition to base salary, we also offer a comprehensive total rewards package, inclusive of annual incentive pay, a retirement savings plan, health care coverage, paid time off, recognition programs and a broad range of other benefits. All benefits and incentives are subject to eligibility requirements.
About dsm-firmenich
At dsm-firmenich, we don’t just meet expectations – we go beyond them.
Join our global team powered by science, creativity, and a shared purpose: to bring progress to life.
From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions – every single day. Whether it’s fragrance that helps you focus, alternative meat that’s better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere.
And while you’re making a difference, we’ll make sure you’re growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They’re essential to our future.
Because real progress only happens when we go beyond, together.
The application process
Interested in this position? Please apply online by uploading your resume in English by September 28, 2026.
Inclusion, belonging and equal opportunity statement
At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work – and that’s exactly the kind of culture we’re building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong.
We’re proud to be an equal opportunity employer, and we’re serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we’re committed to reflecting the world we serve.
We welcome candidates from all backgrounds — no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you.
And if you have a disability or need any support through the application process, we’re here to help – just let us know what you need, and we’ll do everything we can to make it work.
Agency statement
We’re managing this search directly at dsm-firmenich. If you’re applying as an individual, we’d love to hear from you. We’re not accepting agency submissions or proposals involving fees or commissions for this role.
See all 1,568+ Green Card Research Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Research Scientist Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Research Scientist
Document your research contributions before applying
Gather publications, patents, conference presentations, and grant awards now. PERM requires your employer to define minimum qualifications, and your credentials must exactly match the posted requirements, so a documented record prevents mismatches that delay or invalidate certification.
Target employers with dedicated immigration infrastructure
Universities, national laboratories, pharmaceutical companies, and large tech firms run ongoing PERM cycles and have HR staff familiar with research roles. A first-time sponsor may underestimate the recruitment documentation PERM demands, creating procedural denials that restart your timeline.
Search green-card-sponsoring research employers on Migrate Mate
Use Migrate Mate to filter Research Scientist roles by employers with active EB-2 and EB-3 sponsorship history. This surfaces labs and companies already running PERM cycles, so you're not cold-approaching employers unfamiliar with the process.
Clarify whether your role qualifies under EB-2 or EB-3
If your position requires a master's or higher and involves independent research judgment, EB-2 typically applies. If a bachelor's degree satisfies the minimum, it likely falls under EB-3. The classification affects your priority date and wait time, especially for India-born applicants.
Ask employers about PERM timing before accepting an offer
PERM recruitment must occur after the employer has a bona fide opening but before you're hired into that permanent role. Confirm your prospective employer understands this sequence and has counsel engaged, since starting PERM after you've already started can invalidate the process.
Verify your degree equivalency meets DOL's prevailing wage level
Foreign doctoral degrees from institutions outside the U.S. must be evaluated for equivalency. DOL uses credential evaluation reports during PERM audits. Have a NACES-member evaluator confirm your degree maps to a U.S. Ph.D. before your employer submits the PERM application.
Green Card Research Scientist: Frequently Asked Questions
Do Research Scientist roles typically qualify for EB-2 or EB-3 sponsorship?
Most Research Scientist positions at universities, pharmaceutical companies, and national laboratories qualify under EB-2 because the role requires a master's or doctoral degree in a specific scientific field. If the posted minimum is a bachelor's degree, the role falls under EB-3. Your employer's PERM application must reflect the actual minimum requirement for that position, not your personal qualifications.
How does green card sponsorship differ from H-1B sponsorship for Research Scientist roles?
H-1B visa is a temporary nonimmigrant status, capped at 85,000 annually with a lottery, and must be renewed every three years. EB-2 and EB-3 green card sponsorship leads to permanent residency with no annual lottery. PERM adds six to eighteen months to the front of the process, but the employer is investing in your permanent authorization, not a renewable work permit subject to cap uncertainty.
What does the PERM labor certification process look like for a Research Scientist?
Your employer posts the Research Scientist opening through DOL-required recruitment channels, documents that no qualified U.S. worker applied, then submits Form ETA-9089 to DOL for certification. PERM for research roles can attract more applicants than general roles, so your employer's HR team must carefully track and document each candidate evaluation. Once DOL certifies the application, your employer files the I-140 petition with USCIS.
How do I find Research Scientist employers who already sponsor green cards?
Use Migrate Mate to search Research Scientist roles filtered by employers with confirmed EB-2 and EB-3 sponsorship history. This saves time by connecting you with organizations that have existing immigration counsel, active PERM pipelines, and HR staff experienced in the process, rather than employers who would be navigating it for the first time.
Can my foreign doctoral degree support an EB-2 PERM application?
Yes, but DOL requires documentation that your degree is equivalent to a U.S. doctoral degree. Your employer should obtain a credential evaluation from a NACES-member organization before filing the PERM application. If DOL audits the case and the evaluation is missing or incomplete, it can suspend certification. Request the evaluation early so it's ready when your employer submits Form ETA-9089.