Health Data Scientist - Medical Evidence (Sweden) - Nordic Marketing Company
Stockholm, Stockholm County, SE
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingThis is a core technical role, responsible for building, managing, and analysing Nordic healthcare databases using a broad range of data sources.
You will work across the Nordic region, based in our Stockholm office, and partner closely with epidemiology and project manager colleagues in Evidence & Health Data, Medical, Access, and analytics teams, as well as with external stakeholders such as data providers, registrer holders, and academic partners.
Build and maintain integrated healthcare datasets from multiple Nordic sources
Manage end-to-end data workflows, including linkage, documentation and version control
Identify and fix data quality issues and build reproducible cleaning workflows
Lead analyses of routine healthcare data on patient populations, pathways and outcomes
Create SAPs from study protocols and produce final TLFs
From the employer’s posting
This is a core technical role, responsible for building, managing, and analysing Nordic healthcare databases using a broad range of data sources. You will independently bring together complex data from multiple sources, create robust, scalable, and analysis-ready datasets, and lead analyses that deliver high-quality scientific publications and insights.
You will work across the Nordic region, based in our Stockholm office, and partner closely with epidemiology and project manager colleagues in Evidence & Health Data, Medical, Access, and analytics teams, as well as with external stakeholders such as data providers, registrer holders, and academic partners. You will work with both anonymised and pseudonymised data from registries, electronic medical records, laboratory, prescription, hospital, and diagnostic sources. It suits a technically strong data professional with a structured, quality-driven mindset, who takes pride in turning complex, heterogeneous real-world data into robust, analysis-ready assets that enable high-quality evidence generation and better patient outcomes.
Independently establish and maintain integrated healthcare datasets by combining and structuring data from a wide range of sources in Sweden and across the Nordic countries.
Independently manage end-to-end data workflows across multiple healthcare datasets and countries, from ingestion and transformation through harmonisation, linkage, documentation, and version control.
Identify and resolve data quality issues, validate datasets, and build reproducible cleaning workflows
Lead and conduct analyses on routine healthcare datasets that answer important questions about patient populations, pathways, treatment patterns, outcomes, and healthcare utilisation.
Create SAPs based on study protocols and knowledge of the data sources, and conduct analyses in accordance to SAPs to produce final TLFs.
Education & alternatives
Essential experience and capabilities * Master’s degree in biostatistics, epidemiology, data science, health informatics, public health, computer science, or a related field, or equivalent experience. * 5-10 years or equivalent experience working with Nordic healthcare data/real-world data in healthcare, life sciences, public health, or related settings. * Proven experience integrating and managing data from multiple healthcare sources, with strong data cleaning, transformation, and preparation skills. * Strong statistical and analytical skills, with demonstrated experience in healthcare data analysis such as descriptive studies, regression, 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 and standards such as OMOP * Understanding of healthcare data privacy, governance, confidentiality, and regulatory requirements. * Structured, quality-focused approach with strong attention to detail and reproducibility. * Strong communication skills, with the ability to translate technical findings for non-technical audiences. * Fluent in English and one Nordic Language; Swedish language fluency highly preferred.
Desirable experience * Hands-on expertise with the Nordic healthcare data landscape and country-specific data structures. * Experience with data applications and analyzing data from Socialstyrelsen, SCB, Sundhedsdatastyrelsen, Statistics Denmark, Findata, and similar datasets. * Experience working with regional healthcare data in Sweden (e.g., VAL-databasen, primary care, laboratory data, etc). * Expertise in regulations for healthcare data in Sweden * Experience supporting observational studies, evidence generation, or healthcare analytics projects. * PhD in Pharmacoepidemiology/Epidemiology or similar experience supporting pharmacoepidemiological studies with a proven track record of advancing approaches with data science. * Expertise with applying AI/ML tools to healthcare data, such as using LLMs for project management, code generation, quality control, NLP, and more. * Experience working in the pharmaceutical industry. * Ability to lead and manage multiple cross-functional data science workstreams and projects. Inclusion & Diversity We are proud to have a unique workplace culture that inspires innovation and collaboration. Here, employees are empowered to express diverse perspectives - and are made to feel valued, energized and rewarded for their ideas and creativity.
Tools in this posting
- Python
- R
- SAS
- SQL
Source — Tool mentions in context
Essential experience and capabilities * Master’s degree in biostatistics, epidemiology, data science, health informatics, public health, computer science, or a related field, or equivalent experience. * 5-10 years or equivalent experience working with Nordic healthcare data/real-world data in healthcare, life sciences, public health, or related settings. * Proven experience integrating and managing data from multiple healthcare sources, with strong data cleaning, transformation, and preparation skills. * Strong statistical and analytical skills, with demonstrated experience in healthcare data analysis such as descriptive studies, regression, 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 and standards such as OMOP * Understanding of healthcare data privacy, governance, confidentiality, and regulatory requirements. * Structured, quality-focused approach with strong attention to detail and reproducibility. * Strong communication skills, with the ability to translate technical findings for non-technical audiences. * Fluent in English and one Nordic Language; Swedish language fluency highly preferred.
Posting record
Report an errorActively hiringFirst seen by us 9 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 21, 2026 · 9 days ago
- Recorded sightings
- 54
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Stockholm, Stockholm County, SE
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