Do you want to contribute to top quality medical research?

At the Clinical Epidemiology Division, one of our research groups work with clinical epidemiological research on rheumatoid arthritis and other chronic inflammatory diseases, in close collaboration with translational and clinical researchers. Our work focuses on models for personalized treatment of rheumatoid arthritis. We use a combination of register, clinical, genetic, serological and lifestyle data in advanced computational models.

We are now recruiting a research assistant to our team to work with data analysis and data management. If you want to gain practical experience of handling and analyzing real world medical and epidemiological data in an interdisciplinary team of researchers with various backgrounds such as medicine, epidemiology, mathematics and computer science, this position will be of interest to you!

Your mission

The candidate will work with management of our raw and derived data, including the preparation of study data for various research projects, and in our projects focused on personalized medicine: the execution of statistical and computational analyses of the same large-scale data. 

Your profile

The successful candidate has experience from different analytical methods acquired through a formal education and a Bachelor or Master’s degree in computer science, machine learning or similar field. This formal training must have included statistical analysis, machine learning, handling of big data and programming in various languages. Proficiency with R, Python and Bash scripting in Linux are required. Experience with TensorFlow and GPU programing is considered a merit. You are keen on learning new methods and algorithms and have an interest in epidemiology, medical research and contributing to improved patient care and health.

The successful candidate enjoys working in an interdisciplinary team, is organized, structures and documents the code and works with version control. As the candidate will be working as part of a team, emphasis is put on communication skills and personal suitability. Fluency in English (oral and written) is a requirement.

What do we offer?

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

The position is located within the Department of Medicine, Solna. The department consists of twelve divisions and each division consists of several research groups. The position is located within the research group Chronic inflammatory Diseases at the Clinical Epidemiology Division. Our research group contains well over 30 people (PhD students, postdocs, senior researchers, clinician researchers, and statisticians with various backgrounds), with a common research interest, namely to study inflammatory diseases through register and clinical data. You find more information on our website: https://ki.se/en/meds/kep-chronic-inflammatory-diseases

Application

The application is to be submitted through the Varbi recruitment system.In this recruitment, you will apply with your CV without a personal letter. Instead, you will answer some questions about why you are applying for the job in the application form. 

Want to make a difference? Join us and contribute to better health for all

Type of employment Temporary position longer than 6 months
Contract type Full time
Salary Monthly salary
Number of positions 1
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number STÖD 2-5787/2021
Contact
  • Helga W, +46 8 524 833 54
Union representative
  • Bruna Gigante, SACO, bruna.gigante@ki.se
  • Afsar Rahbar OFR, Afsar.Rahbar@ki.se
  • Louisa Cheung, SACO, Louisa.Cheung@ki.se
Published 22.Dec.2021
Last application date 16.Jan.2022 11:59 PM CET

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