Project assistant in clinical memory research, focus statistical modeling

Lund University

Sweden

June 8, 2022

Description

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: https:// 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.

    The Faculty of Medicine is a part of Lund University, and is responsible for education and research within medicine and healthcare. Our academic programs are closely linked with the healthcare system and are firmly anchored in the faculty's strong research tradition. Our research spans a broad field within experimental preclinical research, near-patient clinical research and health sciences research. The Faculty of Medicine, with its 1,800 employees and 2,700 students in Lund and Malmö, is a knowledge-intensive meeting place for students, teachers and researchers from all over the world.

    The Department of Clinical Sciences, Malmö is one of the six departments at the Faculty of Medicine, Lund University. We have a strong focus on clinical and epidemiological research and also conduct an extensive preclinical laboratory research.

    We kindly decline all sales and marketing contacts.

    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

    Login and apply

    Return to job vacancies

    Similar Jobs

    University of Southern Denmark

    Denmark Jun 10, 2022

    Add to favorites Read more...

    Postdoc position with focus on analysis of clinical data

    Postdoc position with focus on analysis of clinical data Center for Liver Research (FLASH, Fibrosis Fatty Liver and Steatohepatitis Research Centre) in Odense, Denmark is seeking an outstanding postdoc with experience within data analysis, clinical...

    Deutsches Krebsforschungszentrum

    Germany May 29, 2022

    Add to favorites Read more...

    (Bio-)Statistician

    extensive scientific program in the field of cancer research. The Division of Biostatistics provides statistical support for all scientific and statistical analysis of biomedical data to the development of complex novel biostatistical methods to enable...