Director, AI for Clinical Intelligence & Evidence Lung, Head & Neck

AstraZeneca•Gaithersburg, MD
•$186,014 - $279,022•Hybrid

About The Position

The Director, AI for Clinical Intelligence & Evidence Lung, Head & Neck will shape end-to-end evidence strategy for the Lung, Head & Neck therapeutic area, spanning R&D through patient care and aligning evidence with priority scientific, medical, and business needs across the product lifecycle. The role identifies and ranks evidence gaps and develops strategies that use the PH3ID (Phase 3 Investment Decision) Intelligence Foundation and multimodal data assets to produce actionable intelligence for portfolio investment decisions, regulatory filings, and commercial positioning. Working at the interface of Translational Science, Clinical Development, and Market Access, the Director will influence senior stakeholders in a matrixed environment. The role combines expertise in evidence generation with working knowledge of multimodal modeling and the ability to address clinical development and market access needs. It is part of AI for Clinical Intelligence & Evidence within AI to Transform Care, which applies AI across the care pathway to identify patients faster, guide better treatments, and improve outcomes at scale. The position contributes to a growing, reusable enterprise AI capability. It will build Lung-specific intelligence that persists in the PH3ID Intelligence Foundation, collaborate across disease-area and CIE teams, and help move the organization from isolated analyses toward scalable capabilities. The office-working expectation is an average minimum of three days per week in person, with flexibility.

Requirements

  • Advanced degree (PhD, PharmD, MD, or equivalent) in epidemiology, biostatistics, health economics, clinical science, or a quantitative discipline relevant to evidence generation.
  • At least 5 years of experience in evidence generation, real-world evidence, health outcomes research, or a related function within pharma, biotech, a leading academic environment, or a consultancy.
  • Track record of translating complex analytical outputs into strategic recommendations that inform portfolio decisions.
  • Expert command of oncology real-world data assets and their application to evidence generation.
  • Experience working across Translational Science, Clinical Development, and Market Access, and ability to communicate technical complexity clearly to diverse audiences.
  • Strong foundation in evidence generation methodologies, including observational study design, causal inference, and comparative effectiveness research.
  • Experience with regulatory submissions or HTA dossiers leveraging real-world evidence.
  • Solid understanding of multimodal modeling approaches and integration of clinical, imaging, genomic, and real-world data to build patient classifiers, prognostic models, and trial simulators.

Nice To Haves

  • Experience in Oncology, particularly Lung, Head & Neck portfolios.
  • Familiarity with AI/ML applications in real-world evidence, including predictive modeling and automated evidence synthesis.
  • Prior experience shaping or contributing to AI-enabled evidence platforms.
  • Experience working across therapeutic-area, scientific, and AI teams in a global matrix organization.
  • Experience supporting complex research questions and portfolio-level decision-making.
  • Experience building advanced scientific or analytical capabilities within multidisciplinary teams.

Responsibilities

  • Collaborate with the Lung, Head & Neck CIE team to define and evolve the Clinical Intelligence & Evidence strategy, translating portfolio priorities and emerging scientific questions into a clear roadmap.
  • Identify and prioritize evidence gaps likely to influence portfolio investment decisions, particularly at key development milestones such as the Phase II-to-III transition.
  • Partner with Translational Science and Clinical Development to integrate multimodal clinical, genomic, digital pathology, and radiology imaging evidence into asset investment decisions and portfolio risk assessment.
  • Build Lung-specific intelligence within the PH3ID Intelligence Foundation so evidence can extend across use cases rather than be rebuilt for each question.
  • Mobilize scientific, clinical, data, and AI expertise around priority Lung, Head & Neck questions and align multidisciplinary stakeholders.
  • Partner with other Clinical Intelligence & Evidence teams to share expertise, develop common capabilities, and scale valuable AI approaches across therapeutic-area portfolios.
  • Keep work aligned with priority scientific, development, and portfolio decisions; translate findings into actionable stakeholder insights and adapt priorities as needs and evidence evolve.
  • Help shape the wider Clinical Intelligence & Evidence operating model by promoting collaboration across disease-area teams and accelerating scalable, enterprise-level capabilities.

Benefits

  • Qualified retirement program, including a 401(k) plan.
  • Paid vacation and holidays.
  • Paid leaves.
  • Health benefits including medical, prescription drug, dental, and vision coverage.
  • Short-term incentive bonus opportunity.
  • Eligibility to participate in an equity-based long-term incentive program.
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