Jobs / United States / Astrazeneca Pharmaceuticals Lp
Director, Agentic AI Platform, China
Astrazeneca Pharmaceuticals Lp · 🇺🇸 2 Locations
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 roles15 certified filings for “Associate Director Oncology Outcomes Research” (Medical Scientists, Except Epidemiologists) in MD: $126k–$185k, median $140k. Most were filed at wage level II (47%) — 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 — 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
About the Beijing AI Center The Beijing AI Center is a new strategic investment by AstraZeneca to accelerate drug discovery through AI. The center brings together AI researchers, computational scientists, and platform engineers to apply foundation models, agentic AI, and large-scale scientific computing to real R&D problems. Situated in one of the world’s most dynamic AI talent markets, it operates at the intersection of biologics discovery, computational chemistry, and AI-driven drug discovery. The center is structured around three pillars: Discovery verticals (therapeutic design and preclinical predictions), Data & AI Platforms, and Ecosystem Partnerships with leading Chinese academic institutions and AI companies. This role sits within the Data & AI Platforms pillar, with a mandate to bring the center’s Agentic AI platform to life for China R&D. About the Role This role owns the Agentic AI platform for AstraZeneca’s China R&D organization. You are the single point of product accountability — from vision and roadmap through delivery and measured impact — for the platform that puts agentic AI capabilities in the hands of China R&D scientists and functions. You connect demand to delivery. You partner with internal customers across China R&D to identify and frame the problems worth solving, translate them into a compelling product vision and a prioritized roadmap, and work with engineers, scientists, and platform teams to ship the right capabilities. You use data and evidence — not opinion — to drive prioritization and trade-off decisions, escalating when necessary without damaging relationships. You operate at the seams of the organization. The platform only delivers value when it is wired into the broader ecosystem, so you will interface continuously with China R&D, Business Development (BD), and global functions including Enterprise AI — ensuring the China platform both leverages and contributes to AstraZeneca’s enterprise-wide AI strategy. You will be most visible where the work is hardest. You will own the entire product lifecycle, represent the platform independently across organizations and technical levels, and personally drive the most ambiguous, cross-functional, or time-sensitive decisions from concept through production. What You Will Do Product Vision & Roadmap (35%) • Connect with internal customers across China R&D to identify, frame, and prioritize the problems the Agentic AI platform will solve • Create a compelling product vision and strategy for the Agentic AI platform that solves complex R&D business problems and aligns to China R&D and enterprise priorities • Own the product roadmap and blueprint — sequencing capabilities to ensure value delivery through well-scoped MVPs and prioritized use cases • Manage trade-off decisions between business opportunities and available resources, using data and evidence to drive prioritization • Assess build, buy, and partner options for platform capabilities, evaluating partnership and technology opportunities for strategic fit and feasibility Execution & Delivery (40%) • Own the entire product lifecycle of the Agentic AI platform, working with engineers, scientists, and other stakeholders to deliver the right products • Drive execution, implementation, and delivery of prioritized use cases from idea to production, following lean and agile principles • Translate requirements into delivery through clear requirements engineering, backlog ownership, and scrum-based ways of working • Measure and communicate impact — define success metrics for the platform and its use cases, instrument them, and use the results to refine the roadmap • Explore and solicit innovative concepts and technologies with stakeholders, incorporating emerging agentic AI ca