Jobs / United States / Astrazeneca Pharmaceuticals Lp
Director, Regulatory AI Business Partner
Astrazeneca Pharmaceuticals Lp · 🇺🇸 US - Cambridge Kendall SQ - MA
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 99 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 31 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 Astrazeneca Pharmaceuticals Lp paid sponsored hires in similar roles3 certified filings for “Regulatory Affairs Director” (Regulatory Affairs Managers) in MA: $241k–$257k, median $257k. 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).
- Last confirmed live 1 day agoWhen 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 — Astrazeneca Pharmaceuticals Lp
The US Department of Labor certified 99 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 31 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 Astrazeneca Pharmaceuticals Lp →
About the role
This role can be based at AstraZeneca hubs in Boston, US; Gaithersburg, US; Cambridge, UK or Barcelona, Spain. About AISI AI Strategy & Innovation (AISI) sits at the centre of AstraZeneca's R&D AI transformation. Our remit is to build, buy and deliver the AI models and agents that change pipeline outcomes, across discovery, translational science, biomarkers and clinical development. Role Overview We are hiring a Director, Regulatory AI Business Partner to serve as the single, senior point of partnership between the AI for Clinical Development team as a front door to the Enterprise AI Unit, and the Regulatory function across the enterprise. You will deeply understand how this function works and what it needs, coordinate with ongoing digital, data science, and AI efforts within the function, translate and align that into a prioritized view of the Regulatory use cases where AI can add the most value, helping decide what is best delivered as a shared enterprise capability versus enabled within Regulatory itself—so we meet the needs of our Regulatory partners with measurable value. The role covers enabling Regulatory to deliver its own prioritized use cases, and shaping enterprise-level AI capabilities that Regulatory shares with other functions, and facilitating responsible and compliant AI in the context of clinical trial conduct, delivery, and reporting. You will sit between domain experts in Regulatory and AI engineers and scientists in EAI. You will interface closely with partners throughout the enterprise building enterprise-level capabilities spanning IT, data access and management, product, and software engineering. You will be equally comfortable in a conversation about regulatory submission standards and a conversation about data infrastructure, pipelines, and what it takes to make a model production- and audit-ready. Comfort with ambiguity, a bias for demonstrating value early, and the credibility to build trust with senior stakeholders across functions are core to the role. What you'll do Business partnering and relationship management • Serve as the primary, trusted business partner between AI for Clinical Development team and the Regulatory function across the enterprise. • Partner closely with AI for Clinical Development function leads and their teams, and the broader EAI teams, to develop AI solutions, sitting on project teams and where needed engaging Regulatory domain expertise directly into solution development, keeping delivery aligned to function needs. • Develop a deep, current understanding of Regulatory priorities, workflows, and decision points. Understand and coordinate with ongoing digital and AI efforts within the Regulatory function. • Build credibility and trusted relationships with senior leaders across the function, and act as a calm, structured partner when priorities compete. • Connect with the digital, data science, and AI teams embedded within the Regulatory function and the therapy areas, and with senior Regulatory leaders across biopharma and oncology, so efforts are coordinated rather than duplicated. Governance, compliance, and responsible AI for the AI for Clinical Development team • Act as a bridge on responsible and compliant AI for the AI for Clinical Development team: flag early when a solution under development may constitute a regulated product or otherwise trigger regulatory requirements, and help teams chart a path through them. • Partner with compliance, quality, privacy, and data-governance stakeholders to close gaps where enterprise guidance does not yet exist, so teams can move quickly without taking on undue risk. Demand shaping, prioritization, and value • Provide AI expertise and consultation to Regulatory—advising where AI will add the most value