Jobs / United States / Astrazeneca Pharmaceuticals Lp
Director, AI Product Development - Medical
Astrazeneca Pharmaceuticals Lp · 🇺🇸 US - Gaithersburg - MD
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 roles1 certified filing for “Global Development Medical Director” (Medical Scientists, Except Epidemiologists) in NY: $331k–$331k, median $331k. Most were filed at wage level II (100%) — 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.
Or apply yourself on the official page →
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
Make a greater impact on lives through a digitally enabled enterprise. We are working towards our aspiration of shaping the future of Pharma. Backed by investment at every step, we harness the latest technology, data, and innovative ways of working to introduce new approaches that put Digital at AstraZeneca’s heart. Be part of a chapter that’s still being written. Trusted and empowered to change the way things are done, with the tools and support to get you there. Here we are free to unleash our curiosity and turn thinking into reality where smart risks and quick decisions come together to power disruption and innovation. This is a product leadership role at the center of how AstraZeneca’s Medical Affairs organizations work. You will own the end-to-end product development of AI-powered solutions that put AI, agentic workflows, and evaluation and quality framework into the hands of medical colleagues across headquarters and the field, changing how scientific evidence is generated, communicated, and acted on for patients and healthcare professionals. The Role The Director, AI Product Development, Medical is part of the AI for Commercial (AIC) team within the Enterprise AI organization. You will lead the design, build, launch, and adoption of GenAI and ML-powered products that serve Medical Affairs organizations across Oncology (OBU), BioPharma (BBU), and Rare Disease (RDU), at Global and market levels. Your products will change how medical colleagues generate insights, engage scientifically with healthcare professionals, and translate evidence into decisions. You define the roadmap, drive cross-functional execution, and are accountable for measured business impact. Key Responsibilities • Own the full AI product lifecycle: from problem definition and customer research through AI development, UX design, deployment, adoption, and measurement. This means shipping products, not delivering reports. • Lead GenAI and agentic AI product development for Medical Affairs. Define product requirements and functional specifications for AI-powered applications, agentic workflows, and evaluation and quality framework that serve headquarters and field medical teams across therapeutic areas. • Translate high-value medical use cases into product requirements. Partner with Medical leadership, Field Medical Excellence, Medical Informatics, Scientific Communications & Content Strategy, Evidence Generation (RWE/HEOR), Scientific Engagement, and Patient Solutions to align product capabilities with therapy area strategy, scientific engagement priorities, and field workflows. • Build on enterprise AI foundations rather than BU-specific silos. Leverage shared platforms, data assets, and reusable components so that capabilities built for one BU extend to others. Actively challenge duplicative or one-off solution requests and redirect them toward common capability. • Partner with technical delivery leads, engineering, data science, and IT teams to translate requirements into scalable and governed solutions and ensure high-quality, on-time execution. Establish clear RACI, maintain alignment on priorities, and drive accountability across a cross-functional delivery model. • Drive adoption and value realization. Define success criteria before launch; track usage, output quality, and downstream impact post-launch, including cycle time reduction for insight synthesis, content development, and planning. Communicate results to leadership with clarity. • Operate within responsible AI and medical governance. Navigate scientific exchange standards, promotional and non-promotional boundaries, privacy and data access controls, vendor management, and IT approval processes. Ensure human-in-the-loop oversight and appropriate documentation for all deployed products.