Postdoctoral Researcher for machine learning to determine factors affecting cognitive decline in dementia - Hiring in process/Finished, not possible to apply

Do you want to contribute to top quality medical research?

Research group and project

At present there are no disease modifying treatments to stop cognitive decline in dementia. The Swedish Registry for Dementia and Cognitive Diseases (SveDem) includes over 95000 patients and over 130000 cognitive follow-ups. As a postdoc in our group, you will create a machine learning algorithm which identifies medications, among those which patients take for other conditions, which are associated with slower cognitive decline over time.

Your mission

The postdoctoral fellow will independently perform data arrangement, curation and data analysis using machine learning algorithms and validate the methods and outcomes with researchers with knowledge in the medical field. Our collaborators at KTH Royal Institute of Technology will supervise the technical aspects of the creation of the machine learning algorithm.

This is a temporary (full-time) position for one year with the possibility of extension.

Your profile

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

The candidate should have a strong machine learning background with a high interest to perform interdisciplinary research with medical professionals. Knowledge in medicine or clinical research, epidemiology or biostatistics are desirable, but not mandatory. However the candidate should have the passion to learn the desirable skills for the interdisciplinary project environment

Data management and analysis skills (SPSS and either SAS and/or R and/or Stata and/or Python) are highly desirable. Documented skills in development and application of novel methods would be an advantage.

Excellent English writing skills and the ability and willingness to collaborate in a team are required. Knowledge in Swedish is a merit.

We stress scientific expertise, statistical and collaborative competence when assessing applicants.

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: Flemingsberg

Your career continues here

Read more about SveDem here.

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)
• A personal candidacy letter.

Welcome to apply at the latest 2021-04-20.

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