1-2 Postdoctoral researchers in Epidemiology and Causal inference

The positions will be at the Unit of Epidemiology, the Institute of Environmental Medicine (IMM) in the group CAUSALab. The group is devoted to understanding how to best utilize Swedish register data for causal inference. This includes developing, utilizing, and adapting cutting-edge frameworks and methodologies, with an interest in how they can be operationalized in the Swedish and Nordic context. 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 Principal Researcher at IMM and the scientific leader of the CAUSALab group 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. The research will be based on data from Swedish population and health data registers, health care quality registers and registry-based randomized clinical trials. Cutting-edge causal inference methods will be applied to motivating use cases in cardiovascular research and other areas. The Postdoctoral researcher will conduct day-to-day project activities, such as writing of protocols and detailed analysis plans, performing data management, conducting analyses, preparing reports on analytical results, presenting findings at project meetings and contribute to drafting of manuscripts. The Postdoctoral fellow will be working together with Drs. Miguel Hernán, Anita Berglund and Anthony Matthews and other members of the team. The positions are for 2 years, with a possibility of extension.

To be eligible for employment as a postdoctor a doctoral degree or a foreign degree deemed to be equivalent to a Swedish doctoral degree is required. This eligibility requirement must be fulfilled at the latest at the time of the employment decision. It is considered as an advantage if you have completed your doctoral degree within the last three years, if there are special reasons, your degree may have been completed earlier.

Qualifications

To be eligible, the applicant must have:

• A doctoral degree related to epidemiology, statistics, biostatistics, 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 or 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.
• Previous supervision of PhD or Master students.

A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical universities. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. At KI, you get to meet researchers working with a wide range of specialisms and methods, giving you ample opportunity to exchange knowledge and experience with the various scientific fields within medicine and health. It is the crossover collaborations, which have pushed KI to where it is today, at the forefront of global research. Several of the people you meet in healthcare are educated at KI. A close relationship with the health care providers is important for creating groundbreaking top quality education and research. Karolinska Institutet is also a state university, which entitles you to several benefits through our collective agreement.

Location: Solna

Choose to work at KI – Ten reasons why

An employment application must contain the following documents in English or Swedish:

• A complete resumé, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
• A complete list of publications
• A summary of current work (no more than one page)
• A personal letter of motivation.

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