Director, Oncology Clinical Intelligence & RWE Strategy

Biopharma Careers; Cambridge (MA); On-site; USD 186,000 - 279,000; Full time

Job summary

AstraZeneca is seeking a senior leader to guide the end-to-end evidence strategy for oncology, spanning R&D through patient care. You will influence senior stakeholders in a matrixed environment, turning complex data into actionable portfolio decisions and regulatory insights.

This role emphasizes AI-enabled evidence and real-world data integration across trials and market access. The position requires an advanced degree and 7+ years in evidence generation or related fields, with a track record

Qualifications

• Advanced degree in epidemiology, biostatistics, health economics, clinical science, or a quantitative discipline relevant to evidence generation.
• 7+ years of experience in evidence generation, RWE, health outcomes research, or related field in pharma/biotech or top consultancy.
• Proven ability to lead without direct authority and influence senior stakeholders in a matrixed environment.

Responsibilities

• Own the end-to-end evidence strategy from R&D through patient care for oncology.
• Prioritize evidence gaps to guide PH3ID, trial design, external control arms, and subpopulation discovery.
• Partner with Translational Science and Clinical Development to integrate multi-modal data into strategies for patient stratification.
• Advance AI-driven approaches for tumor dynamics, risk adjustment, trial simulation, and transferability analyses.
• Convert trial and real-world data into actionable insights on standard of care and competitive positioning.

Skills

Leadership

Strategic thinking

Stakeholder management

Cross-functional collaboration

Education

Advanced degree in epidemiology/biostatistics/health economics/clinical science

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:

Are you ready to turn complex, multimodal data into decisive actions that shape the future of oncology? This role leads a connected evidence strategy spanning R&D through patient care, where your decisions influence trials, filings, and access strategies that reach patients faster. You will help power an enterprise-scale AI and data engine by being an exceptional connector leveraging existing capabilities, scaling what works, and exporting breakthrough ideas across teams and geographies.

Can you see yourself guiding senior stakeholders through complex trade-offs to deliver impact at scale? You will own the end-to-end evidence agenda for an oncology therapeutic area, aligning it to the highest-priority scientific, medical, and business needs across the lifecycle. By harnessing the PH3ID Intelligence Foundation and rich multimodal assets, you will translate signals into intelligence that advances portfolio investment decisions, strengthens regulatory packages, and sharpens commercial positioning.

You will work at the interface of Translational Science, Clinical Development, and Market Access leading without direct authority in a matrixed environment. Join a team dedicated to building AI-enabled evidence that persists and extends across use cases, helping a fast-growing therapeutic area set the pace for the portfolio.

Accountabilities:

• End-to-End Evidence Strategy: Own the clinical intelligence and real-world evidence strategy from R&D through patient care, building a clear roadmap tied to the most critical scientific, medical, and business priorities across development, regulatory, and market access.
• Evidence Gap Prioritization: Define and rank the evidence gaps that matter most, informing PH3ID, trial design, external control arm strategies, and subpopulation discovery to accelerate confident decisions.
• Translational and Clinical Partnership: Partner with Translational Science and Clinical Development to integrate genomics, imaging, digital endpoints, and pathology AI into strategies for patient stratification and biomarker-driven development.
• AI-Enabled Hematology Methods: Advance AI-driven approaches including tumor dynamics forecasting, prognostic risk adjustment, trial simulation, and transportability analyses to de-risk and optimize clinical programs.
• Integrated Insight Generation: Convert internal and competitor trial data, together with real-world data, into actionable insight on standard of care, patient journeys, unmet need, and competitive positioning that guides development and access strategies.
• Stakeholder Influence and Alignment: Influence Global Product Teams, matrix partners, and external data collaborators to ensure evidence outputs are both methodologically rigorous and strategically relevant.
• Compounding Intelligence Foundation: Build an oncology therapeutic area specific intelligence that persists and grows within the PH3ID Intelligence Foundation so evidence compounds across use cases rather than being rebuilt each time.
• Immediate Broader Impact: Deliver early wins that inform ongoing trials and filings, then scale reusable capabilities and standards that elevate decision quality across the hematology portfolio.

Essential Skills/Experience:

• Leadership & Influence
• Track recordof translating complex analytical outputs into strategic recommendations thatadviseportfolio decisions.
• 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.
• Demonstratedability to lead without authority, influencing senior collaborators and cross-functional teams in a matrixed environment.
• Technical and Strategic Expertise
• Expert command of oncology real-world data assets and their application to evidence generation.
• Proventrack recordto build end-to-end evidence strategies that address both clinical development needs (trial design, regulatory submissions) and market access needs (HTA requirements, payer value narratives).
• Strong foundationin evidence generation methodologies, including observational study design, causal inference, comparative effectiveness research, and external control arms.
• Experience with regulatory submissions or HTA dossiersleveragingRWE.
• 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.

Education and Experience:

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

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

Desirable Skills/Experience:

• FamiliaritywithAI/MLapplicationsin RWE,includingpredictivemodelingandautomatedevidencesynthesis.
• Priorexperienceshapingorcontributingto AI-enabledevidenceplatforms.

In-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'swhy we work, on average, a minimum of three days per week from the office. But thatdoesn'tmeanwe'renot 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 to $279.021,60. Our positions offer eligibility for various incentives, an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coveragein accordance withthe terms of the applicable plans.

Why AstraZeneca:

Here, science and data come together to solve urgent health challenges with focus and pace. You will collaborate with diverse experts who challenge assumptions, share perspectives, and move quickly from whiteboard to real-world impact for patients. We invest in cutting-edge technology, empower people to take smart risks, and pair high ambition with genuine support, valuing kindness alongside bold thinking. Your work will shape how evidence is generated, trusted, and scaled across medicines that matter worldwide.

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.