Norwegian Institute of Public Health (Folkehelseinstituttet) is seeking a:

Statistican - 1999 SM (Department of Infectious Disease Epidemiology and Modeling)

Deadline: 14.10.2019

The Norwegian Institute of Public Health, Department of Infectious Disease Epidemiology and Modeling seeks a skilled and experienced statistician for the development, application, and advice of statistical methods.

The Division of Infection Control and Environmental Health has national responsibility for monitoring and advising in areas of infectious diseases and health damage caused by physical and chemical factors in the environment, or climate change. The position provides the opportunity to work at the intersection between infectious disease - and environmental epidemiology, and statistics, primarily through project-based work.

Norwegian Institute of Public Health

The Norwegian Institute of Public Health’s vision is better health for all. We produce, summarize and communicate knowledge for the public health sector and healthcare services. Our main activities are emergency preparedness, knowledge and infrastructure. Infrastructure comprises registries, health surveys, biobanks and laboratory services. The Institute is a government organization under the Ministry of Health. We have approximately 950 employees located in Oslo and Bergen.


The Institute is committed to diversity. We urge qualified candidates to apply for a job with us, regardless gender, age, disability, ethnic or national background, or if there are periods of absence from work.

The department consists of about 20 employees with backgrounds in statistics, bioinformatics, modelling, and epidemiology. We have an active research environment and participate in various national and international research projects. Our core activities include the development of statistical and mathematical models for disease surveillance, disease burden estimation, networks and dynamic infection models, as well as their adaptation to data. The Norwegian Institute of Public Health is responsible for several national registers in the field of infection control, which are increasingly based on genetic information. At the same time, we are working to include new types of data, such as the use of mobile data and data from social media. The goal is to understand better how pathogenic microorganisms spread in the population and how environmental factors affect the health of the people. The models are widely used to evaluate public health interventions, including vaccine effects, and to inform national decision makers.

Job description

We expect that you, as senior researcher, take a leading role in research projects, both in terms of application writing, choice of methods, and project coordination. The position also involves ad hoc supervision and the opportunity for participation in the department's teaching assignments.

Qualifications

  • PhD in statistics
  • Programming experience with R or similar statistical software
  • Programming experience in Python, Fortran, C/C++, Matlab or similar
  • Previous experience with advising in the area of general statistics
  • Experience in research application writing, project management and supervision of students at M.Sc. and Ph.D. level an advantage
  • Competence in infectious disease modelling, time series analyses, Bayesian mode qualifications ormachine learning is desired
  • Excellent command of English, both written and spoken

Personal qualifications

  • Good collaborative skills, flexible and positive mindset
  • Ability to act a driving and leading member of project teams
  • Systematic
  • Ability to work independently
  • Enjoys working on novel and innovative solutions

We offer

  • An rewarding and interesting job with opportunity for professional development
  • Dedicated colleagues who emphasize professionalism and collaboration
  • Varied work tasks and a pleasant and productive interdisciplinary work environment
  • Salary based on qualifications following the state regulations
  • Possibility for physical exercise during working hours
  • Pension scheme in the Government Pension Fund
  • Flexible working hours

Webcruiter-ID: 4103460720

Apply for position

Contacts:

  • Birgitte Freiesleben de Blasio (Departement Director), +47 476 79 077