Skills this job asks for
Data engineeringMachine learningSnowflakePythonSQLAWSAzureGoogle CloudRecruitment
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 290 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
What Regeneron Pharmaceuticals INC paid sponsored hires in similar roles2 certified filings for “Associate Manager, CDM Study Lead” (Data Scientists) in NC: $149k–$188k, median $168k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 290 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Regeneron Pharmaceuticals INC paid sponsored hires in similar roles
- 2 certified filings for “Associate Manager, CDM Study Lead” (Data Scientists) in NC: $149k–$188k, median $168k. Most were filed at wage level III (50%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
BUILD OUR FUTURE TOGETHER:
At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. We are seeking a Data Engineer to join our Advanced Informatics team within Global Development, supporting the modernization of our clinical data infrastructure in a [work model/flexibility]. In this role, you will build and improve the data pipelines, architecture, and analytic tools that power our Digital Transformation project, bringing AI, machine learning, and automation to clinical development. You will collaborate with engineers, analysts, scientists, and enterprise IT.
This position offers the opportunity to contribute to a fast-growing, science-driven organization making a meaningful difference to patients worldwide.
WHEN & WHERE:
• Location: Tarrytown, NY
• Work model/flexibility: Mostly onsite with hybrid flexibility
• Travel percentage: Up to 20%
DISCOVER YOUR ROLE:
• Partner with a cross-functional team to shape and implement a data strategy built for digital transformation and AI/ML
• Design and document end-to-end data architectures that support analytic, operational, and research needs
• Develop schema and data models for clinical data that are standards-compliant and interoperable across Regeneron
• Build and scale pipelines that monitor and improve the quality of internal and external (e.g., CRO partner) data
• Work with GD and enterprise IT to implement a modern data platform, serving as a technical point of contact for the project
• Automate routine workflows and monitor and optimize the performance of our data platforms
• Support KPIs that measure the impact of the data strategy
• Mentor junior team members and evaluate emerging data engineering innovations for adoption
THIS ROLE REQUIRES:
• Bachelor's degree and 6 + years solid experience designing and maintaining infrastructure and architecture for clinical or biomedical data in healthcare or life sciences
• Expertise in modern data platforms (SnowFlake, RedShift, BigQuery, Databricks) and in programming languages such as Python, SQL, and R
• Proficiency in cloud architectures (AWS, Azure, or GCP) and DevOps practices, including version-controlled, well-documented code
• Experience building, scaling, and integrating pipelines for structured and unstructured data across the enterprise
• Strong analytical and problem-solving skills, with attention to detail and an ethos of data quality
• Deep understanding of regulatory frameworks (HIPAA, GDPR, 21 CFR Part 11) and clinical data standards (CDISC, HL7, FHIR)
• Knowledge of machine learning pipelines and their integration with clinical data platforms
• Excellent communication and documentation skills, with the ability to explain complex concepts to technical and non-technical audiences
Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.
Where necessary, we disclose salary ranges for roles i
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