Lunds universitet, Institutionen för kliniska vetenskaper Malmö

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has around 44 000 students and more than 8 000 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

Description of the workplace

The research group of Clinical Memory Research conducts research in dementia diseases. Our research has been at the forefront of the research area for several years. The group is led by Professor Oskar Hansson and consists of research and technical staff. You can read more about our exciting research here: http://www.biofinder.se. Our research group is located at the Memory Clinic in Malmö, and at BMC in Lund. This position will be located at BMC in Lund.

Within the research group, we safeguard a good work environment with respect and consideration in our relationships with each other, and strive for a workplace that is developing and stimulating for all employees. We work constantly to create conditions for job satisfaction, development and participation for all employees. We care about both physical safety and the organizational and social work environment.

We offer
Lund University is a government agency, which means that you receive special benefits, generous holidays and a favorable occupational pension. We also have a flextime agreement, which creates favorable conditions for a work-life balance.

Read more on the university's website about being employed at Lund University, Work with us.

Work duties and areas of responsibility

As a project assistant within our research group you will work with advanced mathematical and statistical analyzes of multimodal data in the BioFINDER study. Your duties mainly include developing and validating mathematical and statistical models of associations between different types of biochemical markers, disease processes detected and quantified with brain imaging (MRI / PET) and clinical measures (cognition and function). The aim of these analyzes is partly to expand our understanding of disease mechanisms in Alzheimer's disease and other neurodegenerative diseases, and partly to improve opportunities to make an accurate and early diagnosis and prognosis in clinical routine and in clinical trials of new drugs. Other tasks may also occur.

Qualifications
The following are required for the position:

  • Master’s degree in physics, mathematics data science or other relevant discipline
  • Good knowledge of statistical programming in R or other relevant program
  • Very high proficiency in English, in speech and writing
  • Ambitious, meticulous and independent as a person

The following are considered to be a merit:

  • Experience of mathematical or statistic modelling of complex processes
  • Experience of programming in R

Other information
The employment is fixed-term, full-time position for 8 months. Starting date is the 15th of August 2022 or according to agreement.

How to apply
Applications must include a personal motivation letter, a CV, contact information of two references, a diploma (including a grade transcript) and other documents you wish to be considered (e.g. letters of recommendation). Those applicants who will be called for interview, will likely be asked to perform a small test to demonstrate basic competence.

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment 15 september 2022 eller enligt överenskommelse
Salary Månadslön
Number of positions 1
Working hours 100
City Lund
County Skåne län
Country Sweden
Reference number PA2022/1982
Contact
  • Niklas Mattson-Carlgren, universitetslektor, niklas.mattsson-carlgren@med.lu.se
  • Oskar Hansson, professor, forskargruppschef, oskar.hansson@med.lu.se
  • Linnea Gard, personalsamordnare, +4640391071,linnea.gard@med.lu.se
Union representative
  • SACO:Saco-s-rådet vid Lunds universitet, 046-2229364
  • OFR/ST:Fackförbundet ST:s kansli, 046-2229362
  • SEKO: Seko Civil, 046-2229366
Published 25.May.2022
Last application date 08.Jun.2022 11:59 PM CEST

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