Postdoctoral Researcher in Neuroepidemiology

Karolinska Institute Stockholm
November 20, 2022
Contact:N/A
Offerd Salary:Negotiation
Location:N/A
Working address:N/A
Contract Type:Other
Working Time:Full time
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Job Ref.:N/A
Do you want to contribute to top quality medical research?

In our research group you will work with scientists conducting world-leading research on the occurrence and progression of inflammatory diseases such as multiple sclerosis (MS). We work with integrating large-scale clinical information with molecular genetics, environmental/lifestyle data and registry data. This work relies on intensive local, national and international collaborations. We offer an engaging and international research environment where you may contribute to high-quality research on an international competitive level.

Your mission

As a postdoc you will carry out research with a focus on the development of new theory, tools and methods in the field of epidemiology of multiple sclerosis. Multiple sclerosis (MS) is a chronic progressive disease of the central nervous system with tremendous impact on individuals' lives and the society. Our mission is to improve outcomes of persons with MS using the nationwide health administrative data available in Sweden.

Your profile

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.

We are searching for an intelligent, creative, hardworking, and enthusiastic team player. The positions require a PhD degree with focus on statistics, epidemiology, computing science or a closely related field. The ideal applicant must have strong computational and programming skills using R or Python with experience of epidemiologic or public health applications. Experience in predictive model development and use of advance machine learning techniques is essential as well as written and spoken fluency in English. The applicant must be able to demonstrate good social and communication skills. The work involves close national and international collaborations and demands flexibility and excellent communication skills. A high degree of accuracy, proactivity and independence is a strong merit.

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

Read more about the Department of Clinical Neuroscience. Read more about the research group you will be part of.

Application

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)

Welcome to apply at the latest November 20, 2022.

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

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
First day of employment Enligt överenskommelse
Salary Månadsvis
Number of positions 1
Full-time equivalent 100%
City Solna
County Stockholms län
Country Sweden
Reference number STÖD 2-4095/2022
Contact
  • Vendela Breeze, HR administrator, +468-52483282,vendela.breeze@ki.se
  • Ingrid Kockum, Professor, ingrid.kockum@ki.se
Union representative
  • Venus Azhary, OFR, +46707-124127
  • Arsalan Amir, SACO, +46704831165
  • Henry Wölling, SEKO, henry.wolling@ki.se
Published 24.Oct.2022
Last application date 20.Nov.2022 11:59 PM CET

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