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

US - Gaithersburg - MD
Full-time
Posted Nov 9, 2026

Skills

Patient Care

Job description

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:

As Director, AI for Clinical Intelligence & Evidence Lung, Head & Neck, you will work on the end-to-end evidence strategy for the Lung, Head & Neck therapeutic area, spanning the full continuum from R&D to patient care and ensuring evidence is aligned to the highest-priority scientific, medical, and business needs across the product lifecycle.

•You will identify and rank evidence gaps. You will build strategies that bring to bear the PH3ID (Phase 3 Investment Decision) Intelligence Foundation and multimodal data assets. You will translate complex data landscapes into actionable intelligence that develops portfolio investment decisions, regulatory filings, and commercial positioning. You will work at the interface of Translational Science, Clinical Development, and Market Access, influencing senior stakeholders across a matrixed environment.

•You will bring deep expertise in evidence generation, working knowledge of multimodal modeling approaches, and the ability to address both clinical development and market access needs. You will join a team that delivers lifecycle intelligence across development, regulatory, and market access, and that is building AI-enabled evidence designed to extend across future use cases rather than be rebuilt each time.

•The position sits within AI for Clinical Intelligence & Evidence, part of AI to Transform Care, whose mission is to apply AI across the care pathway to identify patients faster, guide better treatments and improve outcomes at scale.

How would you combine AI, real-world data, clinical evidence and scientific judgement to anticipate critical portfolio questions and generate the intelligence needed to answer them?

Accountabilities:

Lung, Head & Neck CIE Strategy

Collaborate with the Lung, Head & Neck CIE team to define and evolve the Clinical Intelligence & Evidence strategy for Lung, Head & Neck, translating portfolio priorities and emerging scientific questions into a clear roadmap.

Prioritization

Identify and prioritize the evidence gaps most likely to influence portfolio investment decisions, particularly at key development milestones (e.g., Phase II-to-III transition: strength of the efficacy signal, its applicability to the intended Phase III population, and its performance relative to an appropriate comparator).

Cross-functional Collaboration

Partner with Translational Science and Clinical Development to integrate relevant multimodal evidence (e.g., clinical, genomic, digital pathology, and radiology imaging data) into asset investment decisions and portfolio risk assessment

Reusable Lung Intelligence

Build Lung-specific intelligence that persists and extends within the PH3ID Intelligence Foundation, so evidence compounds across use cases rather than being rebuilt for each question.

Cross-Functional Leadership

Mobilise relevant scientific, clinical, data and AI expertise around priority Lung, Head & Neck questions and create alignment across multidisciplinary stakeholders.

Cross-CIE Collaboration

Partner with other Clinical Intelligence & Evidence teams to share expertise, develop common capabilities and scale valuable AI approaches across therapeutic-area portfolios.

Value and Impact

Ensure the team's work remains aligned with priority scientific, development and portfolio decisions, and translate findings into clear, actionable insights for stakeholders; adapt priorities as needs and evidence evolve.

Change Leadership

Help shape the wider Clinical Intelligence & Evidence operating model, promoting collaboration across disease-area teams and accelerating the transition from isolated analyses to scalable, enterprise-level capabilities.

Education, Qualifications, Skills and Experience

Essential

•Advanced degree (PhD, PharmD, MD, or equivalent) in epidemiology, biostatistics, health economics, clinical science, or a quantitative discipline relevant to evidence generation.

•5 years of experience in evidence generation, RWE, health outcomes research, or a related function within pharma, biotech, or a leading academic or consultancy environment.

•Track record of translating complex analytical outputs into strategic recommendations that advise portfolio decisions.

•Expert command of oncology real-world data assets and their application to evidence generation

•Experience working at the interface of Translational Science, Clinical Development and Market Access functions, with the ability to distill technical complexity into clear narratives for 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 RWE.

•Solid understanding of multimodal modeling approaches, and how clinical, imaging, genomic, and real-world data can be integrated to build patient classifiers, prognostic models, and trial simulators.

Desirable

•Experience within Oncology and, particularly, Lung, Head & Neck portfolios.

•Familiarity with AI/ML applications in RWE, including predictive modelling 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 organisation.

•Experience supporting complex research questions and portfolio-level decision-making.

•Experience building advanced scientific or analytical capabilities within multidisciplinary teams.

Are you ready to transform how clinical and real-world data are used to shape the development of medicines for patients with lung, head and neck cancers?

Why AstraZeneca:

At AstraZeneca, AI, clinical science and real-world evidence come together to address some of the most important questions in medicine. You will work alongside clinical leaders, data scientists, epidemiologists, statisticians and technology experts to transform complex data into evidence that improves development decisions and, ultimately, patient outcomes.

You will have the opportunity to shape a growing enterprise capability rather than simply deliver individual analyses. The environment combines rich clinical and real-world data, ambitious scientific programmes, advanced AI capabilities and the scale required to move successful approaches across assets and therapeutic areas.

Office Working Requirements: When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

The annual base pay for this position ranges from $ 186.014,40 - 279.021,60 Annual USD. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program. Benefits offered include a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.

#EAI

Date Posted

09-nov-2026

Closing Date

27-nov-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.