Postdoctoral researcher in Epidemiology

The epidemiological research at the Institute of Environmental Medicine (IMM) is focused on advancing knowledge about disease etiology and prognosis with an emphasis on environmental and lifestyle factors, and on methodological development and stringency. The research is based on large register-based cohorts, as well as cohorts and case-control studies with extensive information from questionnaires and biological samples.

Miguel Hernán, Kolokotrones Professor of Biostatistics and Epidemiology at the Departments of Epidemiology and Biostatistics, and Director of the CAUSALab, Harvard T.H. Chan School of Public Health, Boston, USA is a Visiting Professor of Epidemiology at IMM.

The work will include comparative effectiveness research, with an emphasis on causal inference methods for complex longitudinal data from both observational studies and randomized trials, e.g., to assess effects of interventions on cardiovascular disease, cancer, and others. Other epidemiological research areas can also be covered depending on the interests of the applicant. The research will mainly be based on data from Swedish and Nordic population and health data registers, also including health care quality registers. The Postdoctoral researcher will have the opportunity to work together with Professor Miguel Hernán and his team. The employment is  temporary for two years. 

Qualified to be employed as a postdoc is one who has obtained a doctorate or has equivalent scientific competence. Applicants who have not completed a doctorate at the end of the application period may also apply, provided that all requirements for a completed degree are met before the (intended) date of employment. This must be substantiated by the applicant's main supervisor, director or equivalent.

Qualifications

To be eligible, the applicant must have:

• A doctoral degree related to epidemiology, statistics, or a related quantitative field.             
• A formal education in epidemiology or statistics.                                                       
• Experience in handling large databases, excellent data management skills and a solid knowledge of common statistical software (as a minimum SAS and R).

Competences, skills, and experiences considered meritorious:                                              

• Excellent writing skills and excellent command of written and spoken English.
• An ability to collaborate with colleagues within and beyond the group, and to communicate with authorities, data holders and other data owner groups.
• Previous supervision of PhD or Master students.
• Formal pedagogical training.

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 better health for all. At Karolinska Institutet, we conduct innovative medical research and provide the largest range of biomedical education in Sweden. Karolinska Institutet is a state university, which entitles employees to several benefits such as extended holiday and a generous occupational pension. Employees also have free access to our modern gym and receive reimbursements for medical care.

Location: Solna

An employment application must contain the following documents in English:

• A complete resumé, including date of the thesis defense, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
• A complete list of publications
• Personal letter of motivation and summary of current work (no more than two pages

The application is to be submitted through the Varbi recruitment system.