Health Data Scientist - Medical Evidence (Sweden) - Nordic Marketing Company
AstraZeneca · Stockholm, Sweden · Global
Clinical Data Science
–
Not yet analysed
Demand85
Career growth82
Healthcare fit78
Remote potential25
5-year outlook
Likely strong long-term demand in pharma real-world evidence and medical data science, with competitive salaries for experienced health data scientists; exact pay will depend on location, seniority, and Nordic market rates.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
full-time
Date found
2026-10-21
Intelligence details
Flexible work details
- Engagement type
- Permanent
- Hours
- Full-time
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth applying if you are a clinician with strong data-science, epidemiology, and Nordic real-world data experience; most clinicians without that technical background will find the bar high.
Who should apply
Physicians, pharmacists, or healthcare graduates with MPH/epidemiology/biostatistics training, SQL/R/Python skills, registry or EMR data linkage experience, and pharma or academic real-world evidence experience.
CV angle
Frame clinical training as domain expertise in patient pathways, outcomes, coding, and data quality; quantify experience with real-world datasets, study protocols/SAPs, statistical programming, reproducible pipelines, governance, and publications.
Skills to highlight
- Real-world data (RWD) and healthcare database analysis
- Registry/EMR/prescription/hospital data linkage and harmonisation
- Data quality validation and reproducible cleaning workflows
- Statistical analysis plans (SAPs) and TLF generation
- AI-assisted anomaly detection and automation
- Data privacy, governance, and regulatory compliance
- Cross-functional stakeholder communication and SME guidance
- Technical documentation and version control
Role summary
A senior technical data science role in AstraZeneca's Nordic Medical Evidence & Health Data team, building and analysing linked healthcare datasets from registries, EMR, labs, prescriptions, and hospitals to generate real-world evidence and publications.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.