Real World Data Analyst Intern

The Real World Data Science team at AstraZeneca is accountable for delivering global strategic observational research studies using real-world data (RWD) (e.g. EMR and claims data) to build confidence in AstraZeneca therapies.  

Currently the team is conducting several analyses for an observational real-world evidence (RWE) study focused on amyloidosis. The student will be responsible for executing a component of the study related to sub-population analysis (e.g. difference by age and sex). The analysis will be done on a US-based insurance claims dataset. The analysis will lead to an internal report and the opportunity to explore a poster abstract or manuscript submission.  

The student will work closely with the data scientist and the epidemiologist to: 

• Identify and refine indicators and definitions for subpopulation analyses relevant to equity.

• Review, modify, and update the study cohort, including inclusion and exclusion criteria tailored for the selected subpopulations.

• Examine, revise, and code algorithms for diagnoses, laboratory measurements, procedures, and medication use leveraging a large US-based insurance claims database.

• Apply and interpret appropriate statistical methods designed to compare outcomes or characteristics between groups. 

Key learning outcomes include developing expertise in cohort selection, database curation, equity analysis, and observational study methods. The student will gain hands-on experience with real-world claims data, contribute to a structured internal report, and have the opportunity to lead or co-author a poster abstract or manuscript submission based on project findings.

Health promotion knowledge and skills

Situational assessments

Plan and evaluate health promotion action

Policy development and advocacy

Community mobilization and building community capacity

Partnership and collaboration

Communication

Diversity and inclusiveness

Leadership and building organizational capacity

Understanding the system

Understanding data source; critical appraisal

Databases, technology, surveillance

Epidemiologic methods

Biostatistics, data analysis

Public health guidance

Date Posted

Closing Date

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.