Jobs / United States / Pfizer INC
Senior AI/ML Engineer - Research Data AI and Predictive Modeling (Vaccine R&D)
Pfizer INC · 🇺🇸 United States - New York - Pearl River
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 40 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 9 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 Pfizer INC paid sponsored hires in similar roles2 certified filings for “SENIOR VALIDATION ENGINEER” (Industrial Engineers) in WA: $96k–$117k, median $107k. Most were filed at wage level I (50%) — 1 lottery entry, ≈15% 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).
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Sponsor Radar — Pfizer INC
The US Department of Labor certified 40 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 9 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 Pfizer INC →
About the role
POSITION SUMMARY Vaccines Research is seeking a highly innovative and technically accomplished AI/ML Engineering leader to accelerate the transformation of scientific data into a strategic asset for AI-driven vaccine discovery and development. This role sits at the intersection of artificial intelligence, data engineering, and vaccine science. Embedded within Vaccines Research and supporting viral/bacterial vaccine programs, the successful candidate will lead implementation of a modern AI-ready research data ecosystem that enables advanced analytics, predictive modeling, generative AI applications, and agentic scientific workflows. Vaccine research generates exceptionally diverse data, including antigen and pathogen sequences, immunological assays, omics datasets, imaging data, laboratory workflows, electronic lab notebooks, and study metadata. The scientific value lies not within individual datasets, but in the ability to connect, contextualize, and operationalize information across these modalities. You will partner closely with Scientists, Bioinformaticians, Digital teams, and enterprise stakeholders to establish data foundations that make research data discoverable, interoperable, reusable, and AI-ready. These capabilities will power next-generation predictive and translational models that inform vaccine design, candidate prioritization, and decision-making across the research portfolio. WHAT YOU"LL DO Lead Research Data AI-Readiness strategy and Implementation • Drive implementation of Vaccines Research's strategy for transforming diverse research data assets into scalable, AI-ready resources. • Design and establish integrated data architectures that connect heterogeneous scientific datasets across laboratory, preclinical, and clinical domains. • Develop automated data ingestion, transformation, and orchestration pipelines that convert fragmented research data into standardized, machine-readable assets. • Define and implement semantic data frameworks, metadata standards, ontologies, and knowledge representations that improve interoperability, discoverability, and reuse. • Build and advance knowledge graphs, retrieval systems, and graph-RAG capabilities that enable scientists and AI systems to interact effectively with both structured and unstructured research knowledge. • Partner with enterprise data and digital organizations to ensure alignment with broader R&D data standards, platforms, and AI initiatives. Advance Predictive and Translational Modeling • Develop and deploy machine learning approaches that leverage linked multimodal datasets to generate insights into vaccine-induced immune responses and mechanisms of protection. • Apply AI and predictive modeling techniques to support vaccine candidate evaluation, immunogenicity assessment, translational research, and portfolio decision-making. • Advance approaches that integrate preclinical, clinical, epidemiological, and real-world datasets to improve scientific understanding and accelerate vaccine development. Technical Leadership and Cross-functional Influence • Translate strategic AI objectives into scalable technical roadmaps, architectures, and implementation plans. • Serve as a technical leader and trusted partner across immunology, microbiology, bioinformatics, clinical research, digital, and data science organizations. • Identify opportunities to modernize research workflows through AI-enabled automation and intelligent data integration. • Act as a key liaison between Vaccines Research and broader Pfizer R&D AI, data, and digital communities, ensuring vaccine-specific needs are represented while leveraging enterprise capabilities whenever possible. Advance AI Adoption and Scientific Innovation • Evaluate and implement emerging AI technologies,