Karolinska Institutet, Institutionen för klinisk neurovetenskap

The Department of Clinical Neuroscience (CNS) conducts research and education in the field of neuroscience from the molecular level to the society level. The clinical research and education is conducted in collaboration with other research groups from the Karolinska Institutet, with other universities as well as the Stockholm County Council.
Please visit our website for more information: ki.se/en/cns


The Neuro division of CNS has a group of multiple sclerosis (MS) researchers with a research focus of understanding the pathogenesis, severity and progression of MS by integrating large-scale clinical information with molecular genetics, environmental/lifestyle data and registry data. This work relies on intensive local, national and international collaborations.

Although clinical outcomes, including disease course, show increased concordance among relatives, little is known about the genetic and environmental contribution to severity and the mechanisms involved during MS progression. This is partly due to lack of well powered studies, limitations in measures of disease trajectories, omission of severity aspects other than motor function, and a lack of reliable biomarkers for disease progression. There are several ongoing projects that aims to fill these knowledge gaps one of them beingMultipleMS a CNS/KI coordinated EU/Horizon2020-funded consortium that aims to develop, validate and exploit methods for patient stratification in MS. MultipleMS will utilize uniquely large clinical cohorts with multiple data types, including genetic and lifestyle information, in combination with publically available multi-omics maps to identify biomarkers of the clinical course and the response to existing therapies, and to gain in-depth knowledge of distinct pathogenic pathways setting the stage for development of new interventions. Other projects are building on large biobanks collected within the EIMS, GEMS and IMSE studies that have collected genetic and lifestyle exposures on a large proportion of MS cases in Sweden. In this cohort we are currently exploring the use of alternative proxy measures of progression of MS based on linkages to national registries.


You will be responsible for developing measures of MS severity and progression, including disease trajectories and non-motor function-based severity scores, and for creating models that describe the disease course and other health parameters in MS. You will also collect, manage and quality assure genetic and phenotypic data, implement new measures and execute statistical and genetic analysis within the project.

Specific duties include:

  • Manage genetic and phenotypic data.
  • Integrating and quality assuring large-scale data sets and data from different national registers (e.g. Swedish MS Register, LISA, Patient Register, etc.).
  • Survival analyses.
  • Modeling disease and other health parameters.
  • Develop measures for MS severity.
  • Develop composite measures using longitudinal data that describe trajectory of MS disease course and progression.
  • Develop statistical models that describe the disease course and other health parameters in MS.
  • Carry out statistical analyses of clinical and environmental/lifestyle data.
  • Carry out statistical genetic analyses for traits related to severity and progression of MS.
  • Preparing and submitting grant applications and manuscripts for publication.
  • Participate in teaching and supervision of students


Entry requirements
A person is eligible to be appointed Assistant professor if he or she has been awarded a Degree of Doctor or has achieved the corresponding scientific competence. The persons appointed should primarily be the ones who have been granted a Degree of Doctor or have reached the corresponding competence no more than seven years before the end of the application period.

Bases of assessment
We stress scientific expertise when assessing applicants.

  • Ph.D. with substantial experience in the field of epidemiology of neuroinflammatory and/or neurodegenerative diseases
  • Experience in the field of genetics of neuroinflammatory and/or neurodegenerative diseases
  • Experience with practical aspects of project management
  • Substantial knowledge in the field of Medical Statistics
  • Excellent command of the English language (both spoken and written)

Key competencies

  • Substantial documented experience of using software for epidemiological and genetic analysis (e.g. R, PLINK, Haploview or equivalent,) and handling large data sets in databases.
  • Skills in writing scientific reports and scientific articles.
  • Excellent social and communication skills, assertive personality
  • Critical thinking and problem solving skills
  • Planning and organizing skills
  • Experience with collaborative projects and working with national and international collaborators.
  • Experience with the Swedish MS Registry is not required but meritorious.
  • Experience of supervising students is not required but meritorious

Application process

An application must contain the following documents in English or Swedish: Curriculum vitae, qualifications and description of planned research, presented in accordance with Karolinska Institutet’s qualifications portfolio (http://ki.se/qualificationsportfolio).  The application is to be submitted through the MyNetwork recruitment system.

An Assistant professor position is a fixed-term position. The first employment should be two years, with a possible extension of two years after evaluation.

Type of employment Visstidsanställning längre än 6 månader
Contract type Full time
Number of positions 1
Working hours 100
City Solna
County Stockholms län
Country Sweden
Reference number 2-133/2018
  • Caisa Stilling, HR-administratör, 08-524 832 82, caisa.stilling@ki.se
  • Ingrid Kockum, Professor, 08-5177 6258, ingrid.kockum@ki.se
Union representative
  • Henry Wölling, SEKO, henry.wolling@ki.se
  • Arsalan Amir, SACO, 08 - 517 733 37, arsalan.amir@ki.se
  • Venus Azhary, OFR, 0707-124 127
Published 08.Jan.2018
Last application date 29.Jan.2018 11:59 PM CET

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