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The neuroepidemiology research group is focussed on increasing the understanding of neurological diseases, especially multiple sclerosis (MS), its course and consequences, and identifying factors that influence MS outcomes. The group includes epidemiologists, geneticists, neurologists and mathematicians. We aim to foster cross-disciplinary collaborations between researchers, patients and clinicians through several national and international projects with a special focus on collaborations with pharmaceutical companies on safety studies. We offer an engaging and international research environment where you will have the opportunity to contribute to high quality research at international top level. The group currently consists of about ten people.
We are looking for a Research Specialist to support and participate in epidemiological studies. This includes handling and organising large datasets such as data from the Swedish MS registry and other national and international databases as well as preparing and performing analysis of large datasets. This person will be working on projects related to various MS outcomes such as disease progression, treatment effects and the impact of socioeconomic factors on MS. These research projects will be conducted within the neuroepidemiology group as well as part of larger national and international collaborations. For the suitable candidate there will be possibilities to carry out research projects in collaboration with other members of the research group
To be eligible for employment as a Research Specialist, in addition to holding a Degree of Doctor, PhD, or having equivalent scientific expertise, the applicant must have demonstrated research expertise as well as have documented research experience after defending their doctoral dissertation.
A PhD degree with a focus on statistics/biostatistics, epidemiology, or neuroscience is required. You should have at least two years of experience working with large databases and patient registers, with significant knowledge of programming and various statistical analysis methods including federated analysis, C, R, and Python programming. Experience in deep learning and neural networks, including frameworks such as Keras and TensorFlow, as well as experience in GPU programming in CUDA or OpenCL, is advantageous.
For this role, experience in Post Authorization Safety Studies (PASS) in international collaborations with real-world data is a requirement, along with good knowledge of MS. Therefore, experience in working with data from MS patient registers is highly desirable. This position involves many collaborations with researchers, research groups, and larger consortia, and therefore the ability to work with others is necessary. We offer an international research environment where you have the opportunity to contribute to high-quality research at an international level.
Good level of spoken and written English will be required.
After an overall assessment of the expertise and merits of the applicants in relation to the subject area, Karolinska Institutet will determine which of them has the best potential to contribute to a positive development of the activities at KI.
A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical universities. Here, 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
Read more about the Department of Clinical Neuroscience
Read more about the research group you will be part of
We prefer that Your application is written in English, but You can also apply in Swedish. An application must contain the following documents: Resumé, qualifications and description of planned research, presented in accordance with Karolinska Institutet's qualifications portfolio.
Welcome to apply at the latest 27 March 2023
The application must be submitted through the Varbi recruitment system.
Type of employment | Permanent position |
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Contract type | Full time |
First day of employment | According to agreement |
Salary | Monthly salary |
Number of positions | 1 |
Full-time equivalent | 100 % |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | STÖD 2-1133/2023 |
Contact |
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Union representative |
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Published | 13.Mar.2023 |
Last application date | 27.Mar.2023 11:59 PM CEST |