Jobs / United States / Regeneron Pharmaceuticals INC
Associate Director Solutions Partner (Scientific Data Product Owner)
Regeneron Pharmaceuticals INC · 🇺🇸 TARRYTOWN
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- 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. USCIS also records 40 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- 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. 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 roles1 certified filing for “Associate Director – Clinical Data Operations” (Database Architects) in NJ: $197k–$197k, median $197k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
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.
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Sponsor Radar — Regeneron Pharmaceuticals INC
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. USCIS also records 40 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Regeneron Pharmaceuticals INC →
About the role
Build our future together: We are seeking an Associate Director Solutions Partner to be a Scientific Data Product Owner and to lead the holistic data strategy for modelling, connecting, and managing Research and preclinical development scientific data in our enterprise data lake. This data originates from our transactional lab informatics systems (e.g., ELN, LIMS, instrument and analytical platforms, registration systems), and our goal is to transform it from siloed transactional records into well-modelled, connected, and reusable data products. Sitting at the intersection of science, data engineering, and product management, you will own the vision and roadmap for how scientific data from Research and preclinical development is structured and surfaced within the data lake. You will partner closely with Digital & Technology teams that need connected data products to analyze and report on scientific outcomes, and with data scientists who require curated, connected scientific datasets to power analytics, modelling, and AI initiatives. You will also work hand in hand with data engineering teams to build these connected data products in the lake. This is a strategic, cross-functional role for someone who understands both the underlying science and the data architecture required to make that science discoverable and actionable at scale, and who is able to productively partner with multiple stakeholders at multiple levels throughout the organization. When: Based at our Tarrytown, NY location Where: 4 days onsite per week required Discover your role: • Define and drive the holistic data strategy for modelling and managing connected scientific data in the data lake, ensuring data flowing in from transactional lab informatics systems is harmonized, contextualized, and connected. • Partner with data engineering to define and shape the ingestion, transformation, and integration pipelines (ETL/ELT) that move data from transactional lab informatics systems into the data lake and turn it into connected, production-grade data products. • Own the product vision, roadmap, and backlog for scientific data products, prioritizing based on scientific value, downstream demand, and organizational impact. • Design and govern data models that capture the relationships across scientific entities (e.g., compounds, biologics, samples, assays, experiments, results, instruments, and study metadata) so that data is connected rather than isolated. • Translate the needs of scientific, Digital & Technology, and analytics stakeholders into clear data product requirements, acceptance criteria, and delivery plans, and drive outcomes that are aligned with all stakeholders, as well as with the corporate Digital and Transformation strategy. • Partner with Digital & Technology teams that consume connected data products from the data lake for analysis and reporting, ensuring data products meet their integration, quality, and access requirements. • Partner with data scientists seeking connected scientific datasets, ensuring datasets are analytics-ready, well-documented, and fit for modelling and AI/ML use cases. • Establish and uphold data quality, governance, lineage, metadata, and FAIR (Findable, Accessible, Interoperable, Reusable) principles across scientific data products. • Conceive, elicit, and champion the use of AI-driven approaches for searching and discovering structured scientific data, improving how users find and connect relevant datasets. • Act as the primary point of contact and advocate for scientific data products, gathering feedback and continuously improving usability, coverage, and value. This role requires: • BS/BA degree and/or MS degree in a related field required. • 10+ years of progressive experience managing scientific laborator