We seek a talented software engineer or programmer to join our expanding interdisciplinary modelling team at the Norwegian Institute of Public Health (NIPH). We strive to be a cutting-edge research environment for policy-relevant epidemiological modelling of infectious disease transmission and control. During the COVID-19 pandemic, the modelling team has played a central role in providing advice, surveillance and scenario-based modelling for decision makers in Norway. We collaborate with epidemiologists and public health specialists to support the government and national and international health authorities in infectious disease preparedness and management.

You will work in the intersection between modelling, data infrastructure, real-time surveillance and epidemiology to support our mission to deliver impactful results from research and public health projects. You will assist the modelling team with improving software engineering practices and optimising code on our existing individual-based models, metapopulation models and compartmental models. Another part of the work will be to develop programs and wrappers, expanding the use of registry data for improved, automated real-time modelling of COVID-19 and other prevalent and policy-relevant infectious diseases. This work will involve collaboration with senior modellers, epidemiologists and the infrastructure team working on structuring and publishing data. You will provide support on visualisations in connection with surveillance and research projects.

The successful candidate will have demonstrable experience within major programming languages, including C/C++, Python, Java, and experience with R and version control software (Git). You are able to think critically about system and programming design, review code, and provide constructive feedback for the modelling team.

You will be part of a dynamic section within the Department of Methods Development and Analytics, including around 20 researchers with diverse academic backgrounds, including physics, statistics, mathematics, bioinformatics, molecular biology and health economics.