Jobs / United States / Astrazeneca Pharmaceuticals Lp
Director, AI Research
Astrazeneca Pharmaceuticals Lp · 🇺🇸 US - Boston - 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).
- 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
Job Title: Director, AI Research Introduction to role : Are you ready to bring frontier AI into the heart of clinical development and change how trials are designed, conducted, and analyzed? Can you move seamlessly from a clinical question to the AI system that answers it and stands up to scientific and regulatory scrutiny? In this director-level role, you will define and deliver the AI research agenda that improves decisions for trials and patients across Oncology and BioPharmaceuticals. You will work at the intersection of advanced AI, clinical trial methodology, and biomedical science—translating methodological innovation into capabilities that shape clinical-development strategy and outcomes. You will lead research spanning foundation models, multimodal learning, agentic systems, post-training methods, and evaluation science. Your work may address treatment-effect heterogeneity, predictive biomarker discovery and validation, patient stratification, time-to-event outcomes, cross-trial generalization, and the responsible evaluation and governance of AI systems used in developing new medicines. Accountabilities : • Research Strategy and Roadmap: Set and execute a research strategy focused on the highest-impact clinical-development challenges, prioritizing efforts that drive measurable benefits for patients and the pipeline. • Method Development for Trials: Invent and refine AI and statistical learning methods tailored to randomized clinical trials and related evidence, with emphasis on heterogeneous treatment effects, predictive biomarkers, time-to-event outcomes, patient stratification, and cross-trial generalization. • Agentic AI Systems: Design, build, and rigorously evaluate agentic AI systems for clinical-development use cases, incorporating retrieval, tool use, code execution, memory, multi-step workflows, and human oversight to ensure reliability and reproducibility. • Reproducible Engineering: Write high-quality Python and build reproducible research workflows using modern ML frameworks, version control, testing practices, and cloud or high-performance computing environments to accelerate trustworthy science at scale. • Scientific Leadership and Influence: Serve as a senior scientific and technical partner, shaping clinical strategy, evaluation approaches, platform capabilities, and investment decisions across the organization. • External Dissemination and Partnerships: Share research through peer-reviewed publications, reusable tools, patents, scientific collaborations, and conference presentations; represent the company with partners, consortia, regulators, and the broader research community. • Team Culture and Mentorship: Cultivate a rigorous research culture through structured scientific review, constructive challenge, and mentorship of scientists and engineers, raising the bar for impact and integrity. • Responsible AI and Governance: Establish robust evaluation, governance, and responsible-use frameworks for advanced AI systems in clinical development, aligning innovation with patient safety and regulatory expectations. Essential Skills/Experience : • Hold a PhD in Computer Science, Machine Learning, Biostatistics, Biomedical Informatics, Computational Biology, or a closely related quantitative field, or have an MSc with an equivalent record of research and industry impact. • Eight years of experience in original research and technical impact, demonstrated through influential publications, clinical evidence, deployed systems, patents, widely used software or datasets, or comparable contributions. • Have led substantial research programs end to end and made scientific or technical decisions that shaped a broader portfolio, platform, or organizational direction. • Are comfortable setting direction under