Director, US Policy Evidence
AstraZeneca is hiring a Director, US Policy Evidence. It pays $193k a year and Level rates it ; you can apply on AstraZeneca.
Level's read on this job
- Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
- The posting mentions AI Tools, AI safety and health policy among its tools and skills.
- Level classes it as an executive role.
- AstraZeneca has 1,200+ other open roles on Level.
- Posted within the past week.
AI in this role
Director of US Policy Evidence responsible for building policy evidence frameworks and responsibly applying AI tools for narrative generation.
Director, US Policy Evidence
Location: Wilmington, DE
About AstraZeneca
AstraZeneca is a global, innovation-driven BioPharmaceuticals business that focuses on the discovery, development, and commercialization of prescription medicines for some of the world’s most serious diseases. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca we’re dedicated to being a Great Place to Work, where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients, and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning, growth, and development.
The Role
The Director, US Policy Evidence is a strategic leadership role within the US Medical Affairs, Implementation Science and Policy team. The role is accountable for building and operationalizing a policy evidence ecosystem that strengthens AstraZeneca's position as a practice-defining innovator and thought leader across priority therapeutic areas. The role advances the generation and dissemination of policy-relevant evidence that accelerates access and drives measurable improvements in care quality and patient outcomes.
Reporting to the Senior Director, Implementation Science & Policy, and partnering closely with therapeutic area (TA)-aligned implementation science leads, real world evidence directors, and federal and state government affairs teams, the Director develops and executes a policy evidence planning framework aligned to brand and Medical strategy, ensuring cross-functional integration across US Medical, Government Affairs & Policy, Market Access, and Commercial teams. The Director translates data-driven insights into policy-enabling evidence that positions Medical Affairs as a strategic partner in policy advocacy.
This role requires deep expertise in health policy, payer strategy, and quality and value-based care ecosystems, combined with strong business acumen and excellent interpersonal skills. The Director maintains current awareness of the evolving US legislative, regulatory, and reimbursement landscape, and applies AI-enabled tools responsibly to support narrative generation, evidence customization, and policy brief development.
Key Responsibilities
Policy Evidence Strategy
- Lead the development, socialization, and operationalization of a policy evidence planning framework aligned to brand and Medical strategy, ensuring consistent application and cross-functional integration across teams.
- In partnership with Real World Evidence & Implementation Science Directors, design and generate practice-defining evidence with clear clinical, economic, and policy impact.
- Drive broad dissemination of policy-relevant models to priority states with multi-stakeholder audiences including payers, employers, and policymakers, and extend approaches to additional therapeutic areas and international markets where feasible.
Government Affairs & Cross-Functional Partnership
- Partner with Government Affairs & Policy teams to identify, prioritize, and advance policy initiatives by providing data-enabled insights that strengthen AstraZeneca's policy positions and market-shaping efforts.
- Co-lead care delivery policy shaping workstreams and coordinate joint Medical-Government Affairs briefings to align internal stakeholders and inform external engagement.
- Collaborate with US Market Access, Commercial Insights, and Brand teams to translate the product value proposition into policy-enabling strategies with tangible, measurable outcomes.
Policy Education & Medical Team Capability Building
- Develop and deliver policy education content to build capability across medical teams and leadership, covering the quality and value-based care (VBC) ecosystem, payer landscape, and guideline development.
- Participate in global policy evidence workstreams and relevant steering committees, ensuring US learnings inform and align with global evidence strategy.
External Partnerships & US Healthcare Landscape
- Cultivate partnerships with health systems, ACOs/IDNs, payers, academic collaborators, patient advocacy groups, and quality-measure bodies to co-design and scale policy-relevant evidence initiatives.
- Maintain current awareness of the US payer and policy landscape, quality measures, value-based care models, reimbursement dynamics, and guideline development, translating it into evidence priorities that anticipate emerging decision-maker needs.
Scientific Rigor, Responsible AI & Governance
- Maintain deep expertise in assigned disease areas and evolving guidelines, keeping policy evidence initiatives anchored in current standards of care and quality measures.
- Apply AI tools responsibly across evidence generation workflows, including LLM-enabled narrative generation for customized payer/policy briefs, proclamations, and related materials in support of Government Affairs and Medical teams.
- Ensure adherence to AstraZeneca's research governance processes, data privacy (HIPAA), and internal SOPs, and contribute to methods development and peer review.
Preferred Qualifications
- Education. Advanced degree in a relevant field is required (e.g., health policy, health services research, behavioral economics, epidemiology, or related fields); Doctoral degree preferred (PhD, PharmD, MD, JD with health policy focus).
- Experience. Minimum of seven years of relevant experience (academia, consulting, government, and/or industry), including meaningful experience in health policy research, payer strategy, economic modeling, outcomes research, and/or policy shaping.
- Leadership & Problem Solving. Well-developed leadership and problem-solving skills with the capability to access internal and external resources for advice and to navigate complex, multi-stakeholder environments.
- Cross-Functional Collaboration. Ability to work collaboratively across multiple cross-functional teams including US Medical, Government Affairs & Policy, Market Access, and Commercial at country, regional, or global levels.
- Policy & Payer Expertise. Comprehensive, current understanding of the US healthcare system, including the legislative and regulatory landscape, payer and reimbursement dynamics, quality measures, value-based care models, and guideline development processes.
- RWD Application. Direct experience using Real-World Data / secondary data and its application to policy and outcomes evidence is highly desired.
- External Engagement. Track record of building productive external partnerships with health systems, payers, patient advocacy organizations, quality-measure bodies, government affairs stakeholders, and/or academic collaborators.
- AI Literacy. Familiarity with applying AI tools in policy evidence and communications settings; able to evaluate validity, limitations, and bias.
- Health Equity. Experience integrating health equity principles into evidence generation and policy strategy, including use of geospatial or population-level data tools.
- Communication. Excellent written and verbal communication skills, with demonstrated ability to translate complex evidence into compelling narratives for executive, policymaker, and external audiences.
Travel & Location
This position is US-based, located in Wilmington, DE. Periodic travel (approximately 15–20%) will be required for engagement with health systems, external partners, internal stakeholders, and medical congresses.
The annual base pay for this position ranges from $193,200- $289, 500. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. 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 (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included 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. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Date Posted
22-Oct-2026Closing Date
14-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
Director, US Policy Evidence at AstraZeneca rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where health policy was part of your work. What did you do?
- Tell me about a project where payer strategy was part of your work. What did you do?
- Tell me about a project where evidence generation was part of your work. What did you do?
- Tell me about a project where value based care was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Safety, Health Policy, Payer Strategy, Evidence Generation, and Value Based Care. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new AI jobs (Uses AI ●●○○ or higher) by email
One email a week with the new AI jobs (Uses AI ●●○○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Other roles that use AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step