Jobs / United States / Astrazeneca Pharmaceuticals Lp
Senior Director, Oncology Clinical Intelligence & Evidence
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 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).
- Last confirmed live 2 days 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).
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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 or Gaithersburg, US; We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional connectors: you'll actively leverage existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn complex, cross-functional problems into reusable, enterprise-wide capabilities - and where the measure of success is adoption and scale, not just innovation - you'll have the platform (and sponsorship) to make it real. Introduction to role Shape the evidence that determines which medicines reach patients—and how quickly As Senior Director, Oncology Clinical Intelligence & RWE Strategy, you will lead the Lung and HNSCC Therapeutic Area, setting the strategic direction for how clinical intelligence and real-world evidence are generated, interpreted, and applied across the portfolio. You will translate portfolio priorities, senior stakeholder needs, and emerging scientific opportunities into a focused evidence agenda. You will identify where the team can create the greatest scientific, clinical, and business value; originate the questions that require deeper investigation; design the appropriate evidence approach; and bring together the expertise required to generate decision-ready insight. Your work will inform clinical development, Phase II/III transition decisions, trial design, patient stratification, biomarker strategy, regulatory confidence, medical strategy, market access, and portfolio investment. You will also help envision how agentic workflows, emerging AI capabilities, and connected evidence systems can improve the way clinical intelligence and RWE are generated, synthesized, and applied. You will identify where these capabilities can accelerate scientific insight, connect fragmented information, and enable more proactive decision-making, while ensuring that scientific judgment, methodological rigor, and human oversight remain central. This is not a traditional study-leadership role, nor is it solely a computational analytics role. It is a role for a scientifically exceptional leader who can connect portfolio strategy to scientific opportunity, frame complex questions, distinguish prognostic, predictive, causal, treatment-effect, and transportability objectives, guide multidisciplinary teams, interpret sophisticated evidence, and translate uncertainty into clear recommendations. Scope and team context You will lead the Lung and HNSCC Clinical Intelligence and RWE Strategy capability, including Strategy Leads, Evidence Product Leads, and Data Scientists. This capability sets the Therapeutic Area’s end-to-end clinical intelligence and evidence agenda across the product lifecycle, from R&D through patient-care strategy. You will translate portfolio priorities, senior stakeholder needs, and emerging scientific opportunities into a focused agenda that identifies where the team can create the greatest value. You will proactively shape the team’s contribution to the most important Therapeutic Area and asset-level priorities, moving the organization from reactive, bespoke analyses toward proactive intelligence and prospective evidence planning. You will work closely with the Lung and HNSCC Multimodal and Computational Analytics group, which provides specialist expertise in advanced methodology, machine learning, AI, molecular data, imaging, digital pathology, computational analytics, and multimodal patient cla