1-3 postdoctoral positions in pharmacoepidemiology and causal inference - Hiring in process/Finished, not possible to apply

Do you want to contribute to top quality medical research?

The Department of Medical Epidemiology and Biostatistics (MEB) is among the largest departments of epidemiology in Europe with special focus on increasing our knowledge of the aetiology of different diseases. Our department consists of researchers, doctoral students, biostatisticians, data collectors and database administrators as well as administrative personnel, in total some 280 staff. The department is situated at campus Solna. Further information can be found at ki.se/meb

We seek up to three postdoctoral researchers who will contribute to the unit of cardiorenal epidemiology led by Prof Juan Jesus Carrero (https://staff.ki.se/people/juan-jesus-carrero). The main goal of research activities in his team is to improve our understanding on the use and effect of medications and devices in routine care settings, with a primary focus on kidney diseases, cardiovascular diseases and diabetes.

Your mission

We seek dedicated and creative postdoctoral researchers to join our team. You will be involved in studies exploring the conditions of use (adherence, compliance, off and on-label use) and the effect (effectiveness, safety) of a number of licensed drugs and devices in 'real world' (routine practice) conditions. You will study unique data sources, including several Swedish Quality Registers and the Stockholm CREAtinine Measurements (SCREAM) project, a longitudinal administrative healthcare utilization cohort of >3 million residents of Stockholm with complete information on undertaken laboratory measurements. We employ both classic and advanced statistical methods, within the target trial emulation framework and with particular emphasis on causal inference statistics.

As a Postdoctoral Data Scientist you will develop analysis plans, protocols, ethical submissions, and funding application submissions as required for ongoing and future studies. You will generate and analyse large data assets, adapt existing and develop new research methodologies and materials. You will be part in a multidisciplinary team and carry out collaborative research projects with colleagues at Karolinska Institutet and in partner institutions. You will report research findings in the form of conference abstracts at national and international conferences and scientific publications.

Your profile

The ideal candidate should hold a Doctoral (or be near completion) degree in medicine, statistics, biostatistics, pharmacology, pharmacy, health data sciences or a related field. Demonstrable advanced skills and expertise in R programming, STATA, or similar languages and ability to collaborate well within multi-disciplinary teams and independently are essential. Experience in statistical methods to adjust for confounding for indication in pharmaco-epidemiological studies, and experience in prediction modelling are desirable. Good track record of peer reviewed scientific publications, particularly in topics related to diabetes, cardiovascular or kidney diseases is also desirable. The candidate needs good skills in English, both written and spoken.

Qualified to be employed as a postdoctor is one who has obtained a doctorate or has equivalent scientific competence. 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. 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.

What do we offer?

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, Sweden

Application

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

• A complete curriculum vitae, 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 reference letter

Welcome to apply!

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

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