Senior Real-World Evidence Scientist

Job Description:

We are seeking a highly skilled and motivated Senior Real-World Evidence (RWE) Scientist who will be responsible for executing and co-leading RWE projects that generate high-quality scientific insights to support clinical development in non-oncology portfolio. This role contributes to the end-to-end delivery of insight-generating projects with minimal supervision and applies scientific and technical expertise to the design, analysis, interpretation, and communication of observational research in real-world settings. This role works in a highly matrixed environment and collaborates with cross-functional colleagues, external partners, and vendors to deliver timely, decision-relevant evidence.

Key Responsibilities:

• Project execution and co-leadership: Execute and co-lead RWE projects from research questions through study delivery, ensuring high-quality output and timely completion with minimal supervision.
• Study design expertise: Serve as a subject matter expert in the design of complex observational studies, including prospective cohort studies, retrospective chart review studies, and insight-generation projects using real-world data etc.
• Scientific input into protocols and analyses: Contribute to study concepts, protocols, statistical analysis plans, analysis specifications, and interpretation of results to ensure scientific validity and fitness for purpose.
• Data interpretation and insight generation: Interpret RWE and translate findings into clear, relevant insights regarding patient characteristics, disease burden, treatment patterns, outcomes, and unmet need.
• Cross-functional collaboration: Partner effectively with internal stakeholders across different functions including TA, development operation, portfolio management, biometrics, regulatory affairs, and medical affairs or commercial teams to align on objectives and deliver evidence that informs decision-making.
• Vendor and partner management: Independently manage selected workstreams delivered through external vendors or data partners, including oversight of timelines, deliverables, and quality.
• Communication of evidence and knowledge: Prepare and deliver high-quality scientific materials, including study reports, abstracts, manuscripts, slide decks, and internal presentations tailored to technical and non-technical audiences. Contribute to methodological discussions, best practices, and team knowledge-sharing activities to strengthen scientific consistency and RWE capability.

Qualifications:

• The successful candidate will typically hold an advanced degree in a relevant scientific discipline such as epidemiology, public health, medicine, biostatistics, or a related quantitative or life sciences field.
• A master degree or equivalent is generally expected, depending on the breadth of relevant experience. A PhD degree is preferred.
• The candidate should have 5+ years of relevant experience in RWE, observational research, or related scientific roles within the pharmaceutical industry, academia, contract research organizations, or similar settings, or 3+ years of direct experience with a PhD degree.
• Experience supporting evidence generation in one or more non-oncology therapeutic areas, particularly cardiovascular, renal and metabolism, respiratory & immunology, or rare disease, is preferred.
• A strong understanding of observational study design and secondary data research is required, including knowledge of common RWE methodologies, study biases, confounding, endpoint definition, and principles of causal inference.
• The candidate should be able to contribute scientifically to study protocols, analysis plans, and interpretation of results, and should be comfortable working with different forms of RWD such as claims, electronic health records, registries, and linked datasets.
• The role requires the ability to translate complex clinical and data findings into meaningful scientific insights.
• Experience in contributing to publications and scientific communications is important.
• Strong communication and collaboration skills are essential.
• The candidate should be able to work effectively in cross-functional and matrixed teams, communicate clearly with technical and non-technical stakeholders, and manage interactions with external collaborators or vendors.
• The ability to plan and prioritize work with growing autonomy, while maintaining attention to scientific quality and operational detail, is critical.

Date Posted

08-5月-2026

Closing Date

30-7月-2026

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.