Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
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.
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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
- 15 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).
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
Ready to turn rigorous forecasting into decisions that change the trajectory of cancer care? As Associate Director, IO Forecasting, you will own the end-to-end forecasting agenda for a flagship Immuno-Oncology brand in the US, delivering the clarity our business needs to invest with confidence and reach more patients. Your work will set the pace for planning, launch readiness, and supply—translating complex signals into a single, credible view of the future .
You will be a thought partner to commercial leaders, building short- and long-term outlooks through patient-flow models and statistical trending, and crystallizing risks, opportunities, and scenarios. Working in close partnership with Insights & Analytics, Marketing, Sales, Market Access, Sales Operations, Global Analytics & Insights, Supply Planning, and Finance, you will align assumptions and narrative, then bring them to life for senior stakeholders. Do you thrive at the intersection of analytics, storytelling, and impact?
In a dynamic Oncology environment, you will also help advance our AI-enabled forecasting capabilities—accelerating insight generation, improving precision, and scaling best practices across the portfolio.
Accountabilities:
• US IO Forecast Leadership: Lead US forecasting and business planning for new Immuno-Oncology products, consolidating the IO portfolio forecast to inform strategy, resource allocation, and performance management.
• Forecast Model Ownership: Build, maintain, and continuously refine product-specific short- and long-term models that are transparent, scenario-ready, and grounded in patient and market dynamics.
• Market Drivers and Scenario Planning: Identify and pressure test key volume and value drivers, quantify risks and opportunities, and translate uncertainty into actionable scenarios for decision-making.
• Cross-Functional Alignment: Partner with commercial leaders and forecast collaborators to align on assumptions and performance narrative, ensuring one authoritative forecast informs all planning cycles.
• Brand Performance Analytics: Deliver in-depth analyses for critical business deliverables, connecting the “why” behind performance to strategic choices and next best actions.
• AI-Enabled Forecasting: Incorporate AI analytical tools into forecasting workflows; support ongoing development of the AI forecasting platform to improve speed, accuracy, and automation.
• Competitive and Market Monitoring: Track the external environment, competitive moves, and market developments; quickly reflect changes in forecast assumptions and guidance.
• Evidence Integration: Consult on primary market research and leverage secondary analytics to strengthen assumptions and validate signals.
• Executive Storytelling: Create and deliver compelling presentations to senior leaders, highlighting critical insights, implications, and recommended actions.
• C-Level Narrative Partnership: Collaborate with senior US leaders to craft a clear, concise performance narrative for a C-level audience.
• People Leadership and Coaching: Guide Forecasting & Performance Senior Managers and Senior Analysts, raising the bar on rigor, clarity, and influence.
• Capability Building and Automation: Advance forecasting capabilities and drive process efficiencies, automation, and innovation that scale across brands.
Essential Skills/Experience:
• Bachelor's degree, preferably in a quantitative field (e.g., Engineering, Data Science, Statistics, Math, Economics, Computer Science, Operations Research).
• proven experience at a pharmaceutical/biotechnology manufacturer or in the biopharmaceutical industry (e.g., forecasting, data/analytics, management consulting, market research, investment banking).
• 4 years of experience in forecasting: building models, leadin
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