Jobs / United States / Astrazeneca Pharmaceuticals Lp

Astrazeneca Pharmaceuticals Lp

Head of AI, Alexion, AstraZeneca Rare Disease Unit

US - Boston - MA Posted today

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Skills this job asks for

Product managementA/B testingLeadershipTranslation

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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.
  • 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.
  • What Astrazeneca Pharmaceuticals Lp paid sponsored hires in similar roles1 certified filing for “Head of Biopharma US Corporate Affairs” (Public Relations Managers) in DE: $330k–$330k, median $330k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
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. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-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 roles
1 certified filing for “Head of Biopharma US Corporate Affairs” (Public Relations Managers) in DE: $330k–$330k, median $330k. 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).

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.

About the role

Introduction to role AI is changing how rare diseases are discovered, developed and treated. As Head of AI, Alexion , you will set the enterprise AI strategy for Alexion, AstraZeneca’s rare disease unit, and turn that strategy into measurable outcomes for science, operations and patients. Based in Boston, this role works across Research, Development and Regulatory Sciences, Operations and Commercial. The Head of AI will identify high-value opportunities, shape a focused portfolio and help teams move promising ideas into secure, scalable AI products. Success requires strong AI expertise, executive influence and the ability to create clarity when priorities or structures are still evolving. The role will bring business, scientific, data and technology leaders together around practical decisions and measurable outcomes. Accountabilities Set the enterprise AI strategy Develop and lead a multi-year AI roadmap aligned with Alexion’s business and scientific priorities. Define investment needs, adoption goals, value measures and expected outcomes across functions and geographies. Build a high-value AI portfolio Identify and prioritize AI opportunities based on scientific, patient and business value. Turn promising concepts into funded initiatives with clear ownership from experimentation through scale and retirement. Establish the AI operating model Define how AI decisions are made across Research, Development and Regulatory Sciences, Operations and Commercial. Create clear decision rights, governance, delivery standards and accountability for adoption and value. Turn innovation into scalable products Assess emerging AI technologies, including generative and agentic AI. Help teams develop high-value opportunities into secure products with clear criteria for experimentation, scaling, user feedback and lifecycle management. Strengthen architecture and governance Partner with technology, data, scientific and business leaders on AI and data architecture, integration patterns, platform standards, data quality and model lifecycle governance. Embed responsible AI, privacy and security throughout the AI lifecycle. Advise senior leaders Serve as a senior AI advisor to the Alexion Leadership Team. Translate complex technical and business considerations into clear choices and recommendations that support decisions, investment and prioritization. Build AI capability across Alexion Expand AI fluency through practical learning, communities of practice, coaching and role-based development. Enable teams to apply AI responsibly in their everyday work and measure adoption and outcomes. Measure value and performance Establish meaningful measures for AI adoption and impact, including scientific advancement, cycle time, capacity, operational efficiency, decision quality, revenue and cost. Track results against approved value cases and communicate progress, risks and actions clearly. Advance responsible AI Embed governance, validation, transparency, bias management, human oversight, privacy, security, regulatory alignment and auditability into AI solutions. Contribute to external forums and evolving industry practices. Lead through influence Build trusted relationships across Alexion and AstraZeneca. Create clarity around priorities, ownership and trade-offs while developing AI leaders and strengthening the AI community across the rare disease value chain. Essential Skills/Experience • 10+ years of progressive leadership experience in pharmaceutical, biotechnology, healthcare or another highly regulated global industry, with significant responsibility for AI, data, digital or technology strategy. • 5+ years leading large-scale AI or digital transformation, with evidence of measurable organizational or business outcomes. • Experience translating business and

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