Associate researcher in statistics/epidemiology - Hiring in process/Finished, not possible to apply

The research group Register-based epidemiology at the Department of Clinical Sciences Lund, the
Medical faculty, conducts research on obesity and related metabolic- and lifestyle factors in association with disease risk, especially cancer. The research group are now starting up a new project, Obesity and Disease Development Sweden (ODDS), a national large-scale project. You can read more about the group and the project on our homepage:

www.lunduniversity.lu.se/lucat/group/v1001277

The research group is headed by Associate professor Tanja Stocks and currently includes another three co-workers in the form of postdocs and PhD student. The group has a strong focus on large-scale epidemiology and methodology, with collaborations nationally and internationally. We are now looking for a driven and experienced associated researcher within statistics/epidemiology as support to the project.

The position is full time for two years and desired start date is April 2022 or according to agreement.

Work assignments
The position entails work on epidemiological studies of various measures of obesity in relation to risk of disease and mortality investigated in a large database of many Swedish cohorts and national registers. The studies will be deeply orientated in statistical and epidemiological methods, therefore, we are looking for a statistician with good epidemiological knowledge or an epidemiologist with good statistical knowledge. The work involves independent work with statistical analyses and writing of scientific articles, and to contribute expertise and collaboration within and outside the research group. The job will involve conducting statistical analyses and article writing of studies, but may also involve only the conduct of statistical analysis and writing of the statistical methods in an article. The job will include some data cleaning, and may also include some supervision and contribution to grant applications.

Qualification requirements
• PhD in epidemiology, statistics, or a related field
• thorough knowledge in both epidemiology and applied statistics
• high skills in applying statistics in softwares such as Stata, SAS or R
• high proficiency in English language

Great attention will be paid on the weighted competence in statistics and epidemiology and on personal suitability for the position. The applicant must be used to independent work whilst also having good collaboration skills.

Meritorious:
• experience from working on large-scale epidemiological data

Instructions on how to apply
CV, personal letter, reference letter, diplomas of university degree and high school grades.