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Health Data Scientist – Medical Evidence
AstraZenecaHealth Data Scientist generating healthcare insights for AstraZeneca's Nordic Marketing Company. Collaborating with various teams and managing data integration across Nordic countries.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
data integrationdata managementdata cleaningdata transformationdescriptive analysisregression analysissurvival analysisSQLRPython
Soft Skills
analytical skillscommunication skillsmethodological designdocumentation skillsproblem-solving skills
Tools & Technologies
SASAI-assisted approachesdata workflowsvisualisationsreporting outputs
Industry Keywords
healthcare datareal-world databiostatisticsepidemiologyhealth informaticspublic healthhealthcare coding systemsICDSNOMEDdata privacy
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Build and maintain integrated healthcare datasets across the Nordic countries.
- Manage end-to-end data workflows from ingestion and transformation through harmonisation, linkage, documentation, and version control.
- Ensure datasets are high quality, reproducible, and fit for evidence generation through robust data cleaning and quality assurance processes.
- Conduct analyses that help answer important questions about patient populations, pathways, treatment patterns, outcomes, and healthcare utilisation.
- Contribute to methodological design including derivations, algorithms, code lists, and analysis dataset specifications.
- Produce clear technical documentation, visualisations, and reporting outputs to support transparency and interpretation of results.
- Explore AI-assisted approaches to strengthen data quality checks and anomaly detection where relevant.
- Ensure all work is carried out in line with applicable privacy, governance, ethical, and regulatory requirements.
Requirements
What you’ll need- Degree in biostatistics, epidemiology, data science, health informatics, public health, computer science, or a related field.
- Experience working with healthcare data, real-world data, or similar datasets in healthcare, life sciences, or public health.
- Strong experience in data integration, data management, data cleaning, and transformation across multiple sources.
- Analytical and statistical experience, including descriptive analysis, regression analysis, and survival analysis.
- Proficiency in SQL, R, Python, and/or SAS.
- Knowledge of healthcare coding systems such as ICD, ICD-O-3, SNOMED, and ATC.
- Understanding of healthcare data privacy, governance, confidentiality, and regulatory requirements.
- Fluent in English; Nordic language skills are an advantage.
Benefits
Comp & perks- Inclusion and diversity programs
- Reasonable adjustments/accommodations for candidates