Research assistant in health data science

Do you want to contribute to top quality medical research?

The Department of Global Public Health is a multidisciplinary department with the aim to advance knowledge about challenges and opportunities for public health in a local, national, and global setting. Research at the department is focused on how different societal and individual factors affect population health, and to develop and evaluate structural and individual-oriented interventions. Many researchers at the department are scientific advisors to authorities and other decision makers at regional, national, and international levels. The department has 12 research groups, about 110 PhD students and about 140 employees.

The position is placed in the PRIME health research group (Prevention, Intervention and Mechanisms in Public Health). In our research group, you get a unique opportunity to collaborate closely with leading researchers in an interdisciplinary field that explores climate extremes and their impact on the population's health. We place special focus on vulnerability factors, adaptability and future scenarios. We offer a dynamic and international research environment where you have the opportunity to contribute to research of the highest international quality. Join us to thrive in an inspiring environment and develop project management, research leadership, and coordination skills while making a meaningful difference in public health.

Your mission

As part of our team, you will play a pivotal role in supporting research initiatives aimed at understanding and addressing the intersections of climate and health. Your responsibilities will include collecting, managing, and analyzing large datasets on health outcomes and climatic exposures. You will contribute to the development of statistical models and programming solutions, collaborate with multidisciplinary teams, and assist in preparing scientific manuscripts and grant applications. By upholding high standards of efficiency and professionalism, your work will directly contribute to impactful outcomes in the field of climate and health research.

This is a temporary position for 6 months, full-time. 

Your profile

We are seeking a dynamic and motivated individual with a master’s degree in statistics, mathematics, or a related discipline with specific training in statistical modelling and multivariate analysis. You should have documented experience in analysing large datasets on health outcomes and/or climatic exposures and working in academic setting. Advanced programming skills in R, Python, STATA and SAS (or other relevant languages) are mandatory.

Great emphasis is placed on personal suitability. As a person, you are curious, highly motivated, and persistent. You demonstrate independence and strong problem-solving skills. You possess excellent communication skills in both oral and written English. Your expertise and enthusiasm will play a critical role in driving forward research that supports the sustainability and resilience of healthcare systems in a changing climate.

What do we offer?

A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. Karolinska Institutet is also a state university, which entitles you to several good benefits through our collective agreement. And you get to practice freely in our modern wellness facilities, where trained staff are on site.

Location: Solna

Read more about the Department of Global Public Health (GPH).

Read more about our research

Application

Welcome to apply at the latest 2025-01-31

The application is to be submitted through the Varbi recruitment system.In this recruitment, you will apply with your CV without a personal letter. Instead, you will answer some questions about why you are applying for the job in the application form. 

Want to make a difference? Join us and contribute to better health for all