Associate Director, Oncology Outcomes Research
AstraZeneca is hiring an Associate Director, Oncology Outcomes Research. It pays $151k a year and Level rates it ; you can apply on AstraZeneca.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Level classifies it as an executive role.
- Level lists 1,200+ other open roles at AstraZeneca.
- The role was posted in the last few days.
AI in this role
Ready to turn real-world evidence into decisions that transform cancer care?
As Associate Director, Oncology Outcomes Research, you will lead high‑impact health outcomes and real‑world evidence that define the value of our medicines and accelerate access for patients. You will operate at the center of an asset team, partnering across medical, development, market access and data science to shape strategy and deliver evidence that influences clinical practice and payer decisions.
This is an opportunity to work across global and US markets on programs that matter—from early development through launch and lifecycle management. Could you turn complex data into clear value stories that shift payer requirements and clinical guidelines? Join us to convert evidence into action, advancing an ambitious oncology portfolio with the potential to redefine standards of care.
Accountabilities:
Real‑World Evidence Leadership: Lead the design and execution of real‑world studies and HEOR projects that quantify and communicate asset value across global and US markets.
Asset Strategy Co‑ownership: Support strategy development and lead execution of the asset’s Global and US Regional health outcomes plan, aligned to clinical, payer and market needs.
Scientific Communication and Influence: Present findings at scientific congresses; lead development of peer‑reviewed manuscripts; shape internal and external narratives with clear, evidence‑based insights.
Governance and Scientific Rigor: Partner with the asset lead in review and governance forums to ensure scientific quality and compliance for sponsored research.
Field Impact Enablement: Translate research outputs into practical tools and resources that equip field medical and access teams to communicate value effectively.
Vendor and Budget Management: Select and manage external partners and budgets to deliver high‑quality projects on time and within scope.
Competitive and Market Insight: Maintain deep knowledge of the disease area, competitive landscape, health system dynamics and evolving reimbursement requirements to proactively guide evidence priorities.
Essential Skills/Experience:
Minimum 3 years’ experience, preferably in the pharmaceutical industry, graduate degree strongly preferred (PhD, MS, MPH) in health economics, epidemiology, outcomes research and/or related rigors.
Understanding and knowledge and application of epidemiological/health outcomes methodology within pharmaceutical industry at an international level.
In-depth expertise with research methods for real world research, HEOR projects including pharmacoepidemiologic models.
Knowledge of the Global and US healthcare systems and their changing needs for health economic and payer analytic information.
Scientific expertise in oncology with knowledge of different data sources
Demonstrated expertise in analytical, judgment and problem-solving skills.
Travel-10-15%
Desirable Skills/Experience:
Advanced Scientific degree
Developed conceptual and integrative thinking with capability to access internal and external resources for advice.
Standout teammate and supports the asset team within the O2R organization.
Strong written and verbal communication skills as well as interpersonal skills.
Oncology experience preferred
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.
Why AstraZeneca:
Here, evidence changes practice. You will partner with clinicians, data scientists and market access experts to generate and apply real‑world insights that directly shape how medicines are used and reimbursed. Our pipeline is rich and growing, giving you the platform to influence high‑stakes decisions across multiple stages of development and across markets. We value kindness alongside ambition, and we move fast with purpose—bringing diverse perspectives together to turn science into measurable patient impact.
Call to Action:
Step into a role where your evidence drives decisions that matter—submit your application and help us redefine what’s possible for people living with cancer today.
The annual base pay for this position ranges from US $151,227 & $226,840 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 coverage in accordance with the terms of the applicable plans.
Date Posted
26-Oct-2026Closing Date
12-Nov-2026Our 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.
How we rate this
Associate Director, Oncology Outcomes Research at AstraZeneca rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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