Green Card Senior Principal Data Engineer Jobs
Senior Principal Data Engineer roles qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process, which requires your employer to document that no qualified U.S. worker is available. At this seniority level, most sponsoring employers file under EB-2, given the advanced-degree and specialized credentials the role demands.
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Get Access To All JobsJob Title: Protein ML Senior Principal Data Scientist
Location: Waltham, MA
About the Job:
As Protein ML Senior Principal Data Scientist within our Vaccines R&D Data and Computational Sciences team, you'll design and deploy state-of-the-art machine learning models that predict protein properties and accelerate the development of next-generation vaccines. Ready to get started?
In this role, you will harness the power of protein language models and foundational AI to predict immunogenicity, stability, and manufacturability — properties that are critical to bringing safe, effective vaccines to the world. Working at the interface of computational and experimental science, you will collaborate closely with antigen design and bench lab teams to iteratively refine protein property predictors and translate computational insights into real-world vaccine candidates.
Join the team protecting half a billion lives every year with next-gen science, mRNA innovation, and AI-driven breakthroughs. In Vaccines, you'll help advance prevention on a global scale - and shape the future of immunization.
Main Responsibilities:
- Develop state-of-the-art protein property prediction models with a focus on immunogenicity, stability, and manufacturability to support vaccine design.
- Leverage and refine language-based foundational protein representations to accelerate the identification and optimization of vaccine candidates.
- Analyze complex relationships between protein sequences, structures, and functional data to uncover generalizable representations applicable across vaccine programs.
- Collaborate with structural biology, protein design, and bench lab teams to shape the strategy for protein modeling and to iteratively improve model quality.
- Maintain the modeling codebase according to best coding practices, ensuring results are robust, reproducible, and well-documented.
- Mentor and upskill colleagues on the latest advances in protein modeling tools and techniques, fostering a culture of continuous learning and scientific rigor.
- Communicate scientific findings clearly and compellingly to a broad range of internal and external stakeholders, adapting the level of detail to each audience.
About You:
Education
- PhD degree in Computational Biology, Data Science, Applied Mathematics, Biophysics or a closely related field.
Experience
- 2+ years of industry or academic setting experience.
Preferred Qualifications
- Exceptional track record in computational biology, encompassing protein language models, biophysics, and the development of AI-based predictive models; prior experience with immunogenicity predictors is a plus.
- Advanced proficiency in Python, R, and SQL, with hands-on experience in PyTorch and AI-based structural modeling tools such as AlphaFold, OpenFold, and Boltz.
- Deep knowledge of protein representation models such as ESM.
- Familiarity with molecular dynamics, next-generation sequencing analysis, and deep mutational scanning is an advantage.
- Familiarity with agentic tools such as Claude Code for automated software engineering strongly preferred.
- Demonstrated ability to communicate fluently — in writing and in person — across computational and bench lab teams, adapting messaging to diverse audiences including senior leadership.
- Proven ability to mentor junior colleagues and lead collaboratively in the area of protein modeling.
- Strong problem-solving, communication, and collaboration skills across multidisciplinary teams.
Language
- Fluent English required.
Why choose us?
- Bring the miracles of science to life alongside a supportive, future-focused team.
- Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
- Work at the forefront of AI-driven research, smart manufacturing, and groundbreaking mRNA platforms that are redefining the future of immunology.
- Help protect half a billion people every year, contributing to one of the largest global vaccination efforts in healthcare.
- Develop your career with access to mentoring, international mobility programs, and opportunities to grow across four continents.
Sanofi US Services and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.
Job Title: Protein ML Senior Principal Data Scientist
Location: Waltham, MA
About the Job:
As Protein ML Senior Principal Data Scientist within our Vaccines R&D Data and Computational Sciences team, you'll design and deploy state-of-the-art machine learning models that predict protein properties and accelerate the development of next-generation vaccines. Ready to get started?
In this role, you will harness the power of protein language models and foundational AI to predict immunogenicity, stability, and manufacturability — properties that are critical to bringing safe, effective vaccines to the world. Working at the interface of computational and experimental science, you will collaborate closely with antigen design and bench lab teams to iteratively refine protein property predictors and translate computational insights into real-world vaccine candidates.
Join the team protecting half a billion lives every year with next-gen science, mRNA innovation, and AI-driven breakthroughs. In Vaccines, you'll help advance prevention on a global scale - and shape the future of immunization.
Main Responsibilities:
- Develop state-of-the-art protein property prediction models with a focus on immunogenicity, stability, and manufacturability to support vaccine design.
- Leverage and refine language-based foundational protein representations to accelerate the identification and optimization of vaccine candidates.
- Analyze complex relationships between protein sequences, structures, and functional data to uncover generalizable representations applicable across vaccine programs.
- Collaborate with structural biology, protein design, and bench lab teams to shape the strategy for protein modeling and to iteratively improve model quality.
- Maintain the modeling codebase according to best coding practices, ensuring results are robust, reproducible, and well-documented.
- Mentor and upskill colleagues on the latest advances in protein modeling tools and techniques, fostering a culture of continuous learning and scientific rigor.
- Communicate scientific findings clearly and compellingly to a broad range of internal and external stakeholders, adapting the level of detail to each audience.
About You:
Education
- PhD degree in Computational Biology, Data Science, Applied Mathematics, Biophysics or a closely related field.
Experience
- 2+ years of industry or academic setting experience.
Preferred Qualifications
- Exceptional track record in computational biology, encompassing protein language models, biophysics, and the development of AI-based predictive models; prior experience with immunogenicity predictors is a plus.
- Advanced proficiency in Python, R, and SQL, with hands-on experience in PyTorch and AI-based structural modeling tools such as AlphaFold, OpenFold, and Boltz.
- Deep knowledge of protein representation models such as ESM.
- Familiarity with molecular dynamics, next-generation sequencing analysis, and deep mutational scanning is an advantage.
- Familiarity with agentic tools such as Claude Code for automated software engineering strongly preferred.
- Demonstrated ability to communicate fluently — in writing and in person — across computational and bench lab teams, adapting messaging to diverse audiences including senior leadership.
- Proven ability to mentor junior colleagues and lead collaboratively in the area of protein modeling.
- Strong problem-solving, communication, and collaboration skills across multidisciplinary teams.
Language
- Fluent English required.
Why choose us?
- Bring the miracles of science to life alongside a supportive, future-focused team.
- Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
- Work at the forefront of AI-driven research, smart manufacturing, and groundbreaking mRNA platforms that are redefining the future of immunology.
- Help protect half a billion people every year, contributing to one of the largest global vaccination efforts in healthcare.
- Develop your career with access to mentoring, international mobility programs, and opportunities to grow across four continents.
Sanofi US Services and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Senior Principal Data Engineer
Document your advanced degree equivalency early
If your data engineering credentials come from a combination of a bachelor's degree and progressive experience rather than a master's, get a formal credential evaluation before applying. PERM filings under EB-2 require documented proof of advanced-degree equivalency, and gaps here delay I-140 adjudication.
Target employers with active PERM filing history
Search the OFLC Wage Search to verify whether a prospective employer has filed PERM applications for data engineering roles before. Companies with recent approved certifications have established internal processes, which shortens the time between your offer and an active green card filing.
Clarify the sponsorship timeline before accepting an offer
Ask the hiring team at what point they initiate PERM, whether they cover attorney fees, and how long prior hires waited between offer and I-140 approval. At the Senior Principal level, the job duties description in the PERM filing must match your actual role precisely or risk an audit.
Use Migrate Mate to filter roles by green card sponsorship
Search for Senior Principal Data Engineer positions on Migrate Mate, which surfaces employers with documented EB-2 and EB-3 sponsorship history. This cuts out the guesswork of asking whether a company sponsors, letting you focus outreach on employers already familiar with the PERM process.
Align your O*NET occupation code with your job duties
The O*NET profile for data engineering roles defines the duties USCIS and DOL expect to see in a PERM application. If your actual responsibilities diverge significantly from the standard profile, work with your employer's attorney to document the specialized scope before the prevailing wage determination is filed.
Understand how EB-2 and EB-3 backlogs affect your country
For most countries outside India and China, EB-3 Skilled Worker and EB-2 priority dates move with relatively short waits. Verify your country's current cut-off in the USCIS Visa Bulletin before deciding which preference category to pursue with your employer.
Green Card Senior Principal Data Engineer: Frequently Asked Questions
Does a Senior Principal Data Engineer role qualify for EB-2 or EB-3 green card sponsorship?
Both categories are available. EB-2 applies when the role requires an advanced degree or when you have a bachelor's degree plus at least five years of progressive experience that USCIS recognizes as equivalent. EB-3 covers the same role when the employer documents it as a skilled position requiring at least two years of training. Most Senior Principal Data Engineer PERM filings target EB-2 given the seniority and degree norms in the field.
How is green card sponsorship through PERM different from H-1B for this role?
H-1B visa is a temporary nonimmigrant status renewed in two- or three-year increments with no path to permanence on its own, and it is subject to an annual lottery cap. PERM-based EB-2 and EB-3 sponsorship leads directly to lawful permanent residency with no lottery. The process is slower, typically two to four years from PERM filing through green card approval for most nationalities, but the outcome is permanent status rather than a visa tied to a single employer.
What does the PERM labor certification process involve for a Senior Principal Data Engineer?
Your employer files an ETA Form 9089 with DOL attesting that they conducted a good-faith recruitment effort and found no minimally qualified U.S. worker available for the position. For a Senior Principal Data Engineer, the job requirements in the PERM must reflect actual day-to-day duties and cannot be written to fit only your credentials. After DOL certifies the application, your employer files an I-140 immigrant petition with USCIS on your behalf.
How do I find Senior Principal Data Engineer jobs where the employer will sponsor a green card?
Migrate Mate lets you filter Senior Principal Data Engineer roles by employers with active EB-2 and EB-3 sponsorship history, so you can identify companies already familiar with PERM before you apply. Reaching out to employers who have completed prior PERM filings significantly reduces the negotiation required to get sponsorship written into your offer letter.
Can my employer start the PERM process before I finish my H-1B or OPT period?
Yes, and starting early is advisable. PERM can be initiated while you hold any valid work authorization, including H-1B or OPT. Filing PERM does not affect your current status, and there is no requirement that you be in the role for a minimum period before the employer starts. An approved I-140 also lets you extend H-1B status beyond the six-year cap under AC21 portability rules.