Green Card Research Data Scientist Jobs
Research Data Scientist roles qualify for EB-2 sponsorship when the position requires an advanced degree in statistics, computer science, or a related field, and for EB-3 as a skilled professional role. Employers file a PERM labor certification with DOL before petitioning USCIS, making documented research expertise and reproducible project portfolios central to a strong sponsorship case.
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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 789+ Green Card Research Data Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Research Data Scientist Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Research Data Scientist
Document your research contributions before applying
PERM requires employers to prove the role demands your specific qualifications. Compile published papers, conference presentations, and model documentation that tie your advanced-degree training directly to the Research Data Scientist job description.
Identify employers with active PERM filing history
Search the DOL's OFLC disclosure data for companies that have filed PERM applications under SOC codes for data scientists. Employers with recent certifications already understand the process and are less likely to abandon sponsorship mid-hire.
Clarify EB-2 versus EB-3 eligibility with each employer
If the role description requires only a bachelor's degree plus experience, the employer may file under EB-3. Confirm early which category the position supports, since EB-2 can offer faster priority dates for applicants from lower-backlog countries.
Use Migrate Mate to filter roles by sponsorship type
Search Migrate Mate for Research Data Scientist positions filtered by employment-based green card sponsorship. You can identify which employers have active PERM filings for this role before you spend time on applications that won't lead to permanent residency.
Ask hiring managers about PERM recruitment timing
PERM requires DOL-supervised recruitment before filing. Ask during offer negotiations when the employer plans to start that recruitment window, since delays can push your I-140 filing back by months and affect your overall green card timeline.
Verify your degree equivalency meets EB-2 requirements
Foreign three-year bachelor's degrees are not automatically equivalent to a U.S. master's degree under USCIS standards. Get a credential evaluation that maps your degree and research experience to the advanced-degree threshold before the employer prepares the PERM job description.
Green Card Research Data Scientist: Frequently Asked Questions
Does a Research Data Scientist role qualify for EB-2 or EB-3 sponsorship?
Both categories are possible, depending on how the employer writes the job requirements. If the position genuinely requires a master's or higher in statistics, data science, or a related field, it qualifies for EB-2. If the employer defines it as requiring a bachelor's degree plus experience, EB-3 applies. The job description filed with DOL during PERM determines the category, so it's worth reviewing the draft requirements before the employer submits.
How does green card sponsorship differ from H-1B for this role?
H-1B visa is a temporary status requiring renewal and tied to lottery selection. A PERM-based green card leads to permanent residency with no annual renewal. There is no lottery for employment-based green cards, though priority date backlogs affect applicants from India and China at the EB-2 and EB-3 levels. For nationals from most other countries, EB-3 processing moves faster than many applicants expect once PERM is certified and I-140 is approved.
Where can I find Research Data Scientist jobs that sponsor green cards?
Migrate Mate lets you search Research Data Scientist roles filtered specifically by employment-based green card sponsorship, drawing on DOL PERM filing data. This saves significant time compared to applying broadly and discovering sponsorship limitations during the offer stage.
What does the PERM labor certification process involve for this role?
The employer files a PERM application with DOL to prove no qualified U.S. worker is available for the specific position. This requires a supervised recruitment period using defined advertising methods, detailed documentation of applicant rejections, and a job description that accurately reflects your role. DOL audits are more frequent for high-demand occupations like data scientists, so thorough documentation from the employer matters.
Can I use my O*NET profile to support my green card application?
The O*NET occupation profile for data scientists informs prevailing wage determinations and helps establish that the role is a specialty occupation. Employers reference it when setting the wage level filed with DOL through the OFLC Wage Search tool. Reviewing your own O*NET profile helps you confirm the job duties and degree requirements the employer lists in the PERM application align with how the occupation is officially defined.