Jobs / United States / Regeneron Pharmaceuticals INC
Associate Process Data Scientist
Regeneron Pharmaceuticals INC · 🇺🇸 RENSS - TECH VALLEY
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 roles10 certified filings for “Sr Associate Scientist” (Chemists) in NY: $96k–$115k, median $101k. Most were filed at wage level II (70%) — 2 lottery entries, ≈31% 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
Summary : The Associate Process Data Scientist utilizes scientific principles to provide data and analytical support to establish, organise and maintain effective data co-ordination and data evaluation services pertaining to process monitoring and modelling of biological drugs. Essential Duties and Responsibilities include, but are not limited to, the following: • Lead or support the implementation, expansion, and continuous improvement of Regeneron’s process monitoring programs and systems. • Accurately source and verify process data from paper records and database systems (LIMS, Qumas, OPM, Historian) to support data monitoring needs in a timely and efficient manner. • Apply statistical process control and quality engineering to monitor process capability and performance, identify trends, and support investigations. • Use scientific principles to solve process or design problems by determining root cause of process-related deviations. • Work with cross-functional departments to ensure process data are being used to maximize process understanding and facilitate continuous improvement opportunities. • Support the development of automated solutions that address specific analytical objectives and facilitate report generation and distribution of analyses. • Manage quality system events pertaining to data integrity and data management such as investigations, CAPAs, and change controls. • Apply data visualization tools to translate data into useful information for operations managers and process engineers. • Analyze data sources and develop strategies and solutions for data acquisition, aggregation, and reporting. • Apply advanced numerical and statistical modeling techniques including multivariate analysis (PCA and PLS), curve metrics and univariate batch analysis to analyze large datasets of process and raw materials data and generate predictive models to supplement and enhance process understanding. • Lead cross functional teams in technical investigations to resolve process issues and identify process improvements. Present findings at interdepartmental forums. • Support the development of automated solutions that address specific analytical objectives and facilitate report generation and distribution of analyses. • Provide audit and regulatory submission support where applicable. • Issue technical reports summarizing conclusions of data analysis and recommendations for process improvements. Present findings at interdepartmental forums. • Provide coaching and mentoring to junior members of the team. Education and Experience: • Assoc: BS/BA in mathematics/statistics, or related discipline. 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 in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, sp