Join our Mission to Improve Public Health Through Data: Health Data Scientist for Statistics and Machine Learning at Statens Serum Institut
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Join our Mission to Improve Public Health Through Data: Health Data Scientist for Statistics and Machine Learning at Statens Serum Institut
Embark on a meaningful career
At the heart of Copenhagen, Denmark, the Department of Epidemiology Research at SSI is looking for a passionate Data Scientist to join our department for a two-year position, working in the intersection between statistics, machine learning and causal inference to advance public health.
Thrive in a collaborative environment
Our department is a vibrant hub of 30 diverse professionals, including medical doctors, statisticians, bioinformaticians, data scientists, biologists, public health scientists, and mathematical modelers. Together, we foster a collaborative and supportive environment, where diverse perspectives come together to conduct impactful research on health and disease. Our research interests focus on infectious diseases and vaccines, and on developing methods and tools to better leverage the unique data sources available in Denmark for health data science.
Your role: Advancing data-driven discoveries
As a Data Scientist, you will be responsible for the analytical part of one or more data science projects. You will be embedded in a team of 10 analysts, where you will contribute to shaping the future of health data science at SSI. You will develop cutting-edge tools and techniques, build predictive models using machine learning and leverage causal inference to better understand the causes of disease.
Key Responsibilities
We are looking for an individual with an MSc/PhD in Data Science, Statistics, Computer Science, Bioinformatics, or a related field, coupled with a strong interest in data-driven health research. Proficiency in R/Python and SQL is essential, along with documented experience in statistics, machine learning or causal inference. A high level of proficiency in both spoken and written English is a must.
Your growth, our commitment
At SSI, we believe in the continued growth and development of our colleagues. You will be challenged continuously and have ample opportunity to refine your skills, expand your knowledge, and contribute meaningfully to our department's success.
Diversity makes us stronger
We are committed to fostering an inclusive environment. Your unique perspectives and experiences will enrich our department and contribute to our collective success. We invite applications from all qualified individuals and in order to ensure a fair and unbiased assessment process, we encourage you to submit an application omitting personal details such as your name, gender, age, and photo from your CV, cover letter and educational transcripts. Applications will be evaluated based on skills, experience, and future potential to contribute to our department.
Timeline and contact information
Interviews are scheduled for weeks 49 and 50. For further inquiries or questions, please do not hesitate to reach out to Anders Hviid, Head of Department, at aii@ssi.dk or +45 3268 3967. We look forward to hearing from you!
Application instructions and assessment
To submit your application, please follow these steps: 1. Ensure your CV, cover letter and educational transcripts are in PDF format. 2. Remove personal details (name, gender, age, photo) from all documents submitted. 3. Your cover letter should highlight your relevant experience, skills, and motivation for the position together with your brief thoughts on how you can contribute to our department. 4. Submit your application by clicking “Apply”. 5.
Join our mission to make a lasting impact
If you are passionate about data-driven health research and eager to join a collaborative team, we encourage you to apply for this exciting opportunity!
Terms of Employment
The employment will be in accordance with the terms of the collective agreement between the Ministry of Finance and the Danish Federation of Professional Associations (AC-overenskomsten) and the Danish Ministry of Finance’s circular concerning the job structure for scientific staff working with research at sector research institutions (Stillingsstruktur for videnskabeligt personale med forskningsopgaver ved sektorforskningsinstitutioner).
The employment is temporary for a period of two years, starting on 1 February 2026 or as soon as possible thereafter.
At the heart of Copenhagen, Denmark, the Department of Epidemiology Research at SSI is looking for a passionate Data Scientist to join our department for a two-year position, working in the intersection between statistics, machine learning and causal inference to advance public health.
Thrive in a collaborative environment
Our department is a vibrant hub of 30 diverse professionals, including medical doctors, statisticians, bioinformaticians, data scientists, biologists, public health scientists, and mathematical modelers. Together, we foster a collaborative and supportive environment, where diverse perspectives come together to conduct impactful research on health and disease. Our research interests focus on infectious diseases and vaccines, and on developing methods and tools to better leverage the unique data sources available in Denmark for health data science.
Your role: Advancing data-driven discoveries
As a Data Scientist, you will be responsible for the analytical part of one or more data science projects. You will be embedded in a team of 10 analysts, where you will contribute to shaping the future of health data science at SSI. You will develop cutting-edge tools and techniques, build predictive models using machine learning and leverage causal inference to better understand the causes of disease.
Key Responsibilities
- Data wrangling: Orchestrate complex health data into analysis-ready formats
- Tool development: Design and implement innovative tools to streamline data- and research workflows and extract novel insights
- Machine learning: Apply machine learning to tackle real-world health challenges
- Statistical analysis: Conduct rigorous statistical analyses to establish causal relationships and inform evidence-based decision-making
We are looking for an individual with an MSc/PhD in Data Science, Statistics, Computer Science, Bioinformatics, or a related field, coupled with a strong interest in data-driven health research. Proficiency in R/Python and SQL is essential, along with documented experience in statistics, machine learning or causal inference. A high level of proficiency in both spoken and written English is a must.
Your growth, our commitment
At SSI, we believe in the continued growth and development of our colleagues. You will be challenged continuously and have ample opportunity to refine your skills, expand your knowledge, and contribute meaningfully to our department's success.
Diversity makes us stronger
We are committed to fostering an inclusive environment. Your unique perspectives and experiences will enrich our department and contribute to our collective success. We invite applications from all qualified individuals and in order to ensure a fair and unbiased assessment process, we encourage you to submit an application omitting personal details such as your name, gender, age, and photo from your CV, cover letter and educational transcripts. Applications will be evaluated based on skills, experience, and future potential to contribute to our department.
Timeline and contact information
Interviews are scheduled for weeks 49 and 50. For further inquiries or questions, please do not hesitate to reach out to Anders Hviid, Head of Department, at aii@ssi.dk or +45 3268 3967. We look forward to hearing from you!
Application instructions and assessment
To submit your application, please follow these steps: 1. Ensure your CV, cover letter and educational transcripts are in PDF format. 2. Remove personal details (name, gender, age, photo) from all documents submitted. 3. Your cover letter should highlight your relevant experience, skills, and motivation for the position together with your brief thoughts on how you can contribute to our department. 4. Submit your application by clicking “Apply”. 5.
Join our mission to make a lasting impact
If you are passionate about data-driven health research and eager to join a collaborative team, we encourage you to apply for this exciting opportunity!
Terms of Employment
The employment will be in accordance with the terms of the collective agreement between the Ministry of Finance and the Danish Federation of Professional Associations (AC-overenskomsten) and the Danish Ministry of Finance’s circular concerning the job structure for scientific staff working with research at sector research institutions (Stillingsstruktur for videnskabeligt personale med forskningsopgaver ved sektorforskningsinstitutioner).
The employment is temporary for a period of two years, starting on 1 February 2026 or as soon as possible thereafter.