Jobs / United States / Astrazeneca Pharmaceuticals Lp
Associate Director, Advanced Medical Analytics
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 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.
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 an enterprise-wide impact on patient lives by driving advanced, data-driven execution and analytics strategy. AstraZeneca’s aspiration is to deliver life-changing medicines to patients in need, in pursuit of eliminating cancer as a leading cause of death! The US Medical Affairs (USMA) organization operates at the critical intersection of R&D, clinical development, and healthcare delivery, equipping healthcare providers and internal teams with actionable insights, evidence, and support amidst a rapidly evolving treatment landscape. As Associate Director, Advanced Medical Analytics, you will serve as a key technical and project leader within the Advanced Analytics and Clinical Trial Efficiency team. In this role, you will contribute to the vision, design, and deployment strategy for advanced analytics, AI/ML, and Real-World Data (RWD) solutions. You will work closely with collaborators across US Medical, R&D, and Global teams. Your goal is to speed up clinical trial execution, improve medical engagement, and support core medical operations using digital and AI innovation. Key Roles & Responsibilities • Digital Innovation: Drive and support cross-functional digital innovation initiatives in close collaboration with commercial partners, embedding AI and analytics into business workflows as part of broader leadership efforts to scale AI across USMA. • Next-Gen Capabilities & Digital Modernization: Guide dedicated technical analytics and engineering project squads in developing intelligent, scalable AI capabilities that modernize day-to-day operations and decision-making across both Field Medical and HQ teams. Ensure these capabilities are brought to life appropriately in new CRM initiatives. • Hypercare and Collaborator Management: Work closely with end users to ensure appropriate prioritization, triage, and follow-through of issues related to deployed solutions. Operate in a light touch SCRUM manner, ensuring high trust with end users. • Scale and Maintain: Coordinate technical squads through the agile development lifecycle, focusing on scaling existing capabilities across franchises within USMA and ensuring current analytical products are properly supported, enhanced, and maintained. • Cross-Functional Partnership: Act as a trusted analytics partner to cross-functional leaders across USMA, Global R&D, and Commercial teams, translating complex business challenges into high-impact, fit-for-purpose analytical solutions. • Product Delivery & Backlog Management: Manage the operational lifecycle of medical analytics tools and products, overseeing backlog refinement, sprint execution, quality standards, and continuous enhancement for tools in production. Role Qualifications & Requirements Minimum Requirements: • Bachelor’s degree in a relevant quantitative or life sciences field (e.g., Data Science, Computer Science, Statistics, Biomedical Informatics, Engineering, Mathematics). • 3+ years of progressive experience delivering advanced analytics and data science solutions within the biopharmaceutical, biotechnology, or life sciences consulting sectors. • Proven experience guiding or leading technical project squads in developing and deploying AI/ML capabilities into enterprise or field business workflows. • Demonstrated history of successfully delivering data science solutions across medical, commercial, or clinical development functions. • Strong technical expertise in machine learning, GenAI, and modern NLP architectures applied to complex structured and unstructured healthcare datasets. • Technical fluency across cloud ecosystems and modern data stacks (e.g., Python, SQL, Databricks, AWS, SageMaker, Git). • Strong communication and collaborator management skills, with the ability to bridge techn