Join our Mission to Improve Public Health Through Data: Health Data Scientist for Statistics and Machine Learning at Statens ...
Role highlights
Full Time
Permanent
Mid
On-site
This Health Data Scientist role at Statens Serum Institut requires advanced expertise in statistics, machine learning, and causal inference applied to public health data. Candidates should hold an MSc or PhD in Data Science, Statistics, Computer Science, Bioinformatics, or a related discipline, demonstrating a strong academic foundation and rigorous quantitative training. Proficiency in programming languages such as R and Python, alongside SQL for data manipulation, is essential. The position demands experience in transforming complex health datasets into analysis-ready formats and designing innovative computational tools to improve data workflows. Candidates must be adept at applying machine learning techniques to solve practical health challenges and conducting rigorous statistical analyses to establish causal relationships that inform evidence-based public health decisions. Excellent communication skills in English, both written and spoken, are required to collaborate effectively within a multidisciplinary team focused on infectious diseases, vaccines, and health data science. The role offers a dynamic environment that values continuous learning and professional growth, contributing to impactful research in epidemiology. Overall, the ideal candidate combines strong technical skills in data science and statistics with a passion for advancing public health through data-driven insights.
About the role
Role Summary
- Two-year Data Scientist position at the Department of Epidemiology Research, Statens Serum Institut (SSI), Copenhagen
- Work at the intersection of statistics, machine learning, and causal inference to advance public health
- Join a collaborative team of 30 professionals focused on infectious diseases, vaccines, and health data science
Responsibilities
- Orchestrate complex health data into analysis-ready formats
- Design and implement innovative tools to streamline data and research workflows
- Apply machine learning to address real-world health challenges
- Conduct rigorous statistical analyses to establish causal relationships and inform evidence-based decisions
Requirements
- MSc or PhD in Data Science, Statistics, Computer Science, Bioinformatics, or related field
- Strong interest in data-driven health research
- Proficiency in R/Python and SQL
- Documented experience in statistics, machine learning, or causal inference
- High proficiency in spoken and written English
Benefits
- Supportive, diverse, and inclusive work environment
- Opportunities for continuous learning and professional growth
- Contribution to impactful public health research
How to Apply
- Prepare CV, cover letter, and educational transcripts in PDF format
- Remove personal details (name, gender, age, photo) from all documents
- Cover letter should highlight relevant experience, skills, motivation, and how you can contribute to the department
- Submit your application by clicking “Apply”
- Mention in your application that you found the job at Jobindex
Additional Information
- Temporary two-year position, starting 1 February 2026 or as soon as possible thereafter
- Employment follows the collective agreement between the Ministry of Finance and the Danish Federation of Professional Associations
- Interviews scheduled for weeks 49 and 50
- For questions, contact Anders Hviid, Head of Department, at [email protected] or +45 3268 3967
- Applications are evaluated based on skills, experience, and potential; all qualified individuals are encouraged to apply
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Statens Serum Institut
Statens Serum Institut
- Location
- København
- Employees
- —
- Website
- www.ssi.dk