Faculty of Medicine, Department of Experimental Medical Science

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 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 work place

The position is at the Protein bioinformatics group at the Department of Experimental Medical Science, at Medical faculty, Lund University. The research group utilizes advanced computational and data analysis tools to investigate large datasets. We are located and Biomedical Center.

Project description

The project is part of JPND-financed 4DPD-Omics research program. Our task in this project is to perform data analysis and computer-based system biological studies to gain insight on processes in Parkinson’s disease.

We will create a 4D dynamic atlas of the distribution of specific cell subpopulations, correlate their transcriptome/proteome changes to their vulnerability to pathogenic processes, and characterise the spatial cellular landscape in relation to α-Syn pathology. Integrative bioinformatics analyses will be used to identify biomarkers, pathways, and signatures in cellular sub-types susceptible and resistant to α-Syn pathology that may precede appearance of the pathological phenotype. Utilizing systems biology approaches previously identified disease pathways will be systematically investigated in the context of disease progression and the cell types in which they occur, and mapped to master regulators.

 Work tasks

Your tasks are related to data analysis, visualization, programming, methods development, as well as publication and presentation of obtained results.

Qualifications an requirements 

Required for the position

  • Doctoral degree or similar in bioinformatics, data analysis or related field. The degree should be obtained at the the latest at the data when decision is made.
  • Good skills in developing and performing high-quality research
  • Good skill set on data analysis and statistics
  • Experience on biological databases or programs
  • Special competences: independent, collaborative, creative, and analytical skills.
  • Good command of spoken and written English.

Good to have in addition

  • Expertise about metabolic and signaling pathways.
  • Expertise in statistics, especially in R.
  • Expertise in programming, especially python.
  • Evaluation of the applicants will in the first place be based on scientific merits and potential as a scientist.

We offer

Lund University is a great place to work, you can read more what we have to offer: Work here

Instructions on how to apply

Applications shall be written in English and be compiled into a PDF-file containing:

  • Résumé/CV, including the most significant publications (maximum three) relevant for the position, specifying the role of the candidate,
  • A general description of past research and future research interests (no more than two pages),
  • Contact information of at least two references
  • Copy of the doctoral degree certificate, and other certificates/grades that you wish to be considered.

More about the Medical Faculty

Type of employment Temporary position
Employment expires 2027-03-31
Contract type Full time
First day of employment 2025-04-01
Salary Månadslön
Number of positions 1
Full-time equivalent 100 %
City Lund
County Skåne län
Country Sweden
Reference number PA2024/3979
Contact
  • Mauno Vihinen, 046-2220000, mauno.vihinen@med.lu.se
  • Maria Palmkron, HR-partner, 046-2224076, maria.palmkron@med.lu.se
Union representative
  • OFR/ST:Fackförbundet ST:s kansli, 046-2229362, st@st.lu.se
  • SACO:Saco-s-rådet vid Lunds universitet, kansli@saco-s.lu.se, kansli@saco-s.lu.se
  • SEKO: Seko Civil, 046-2229366, sekocivil@seko.lu.se
Published 17.Dec.2024
Last application date 31.Dec.2024 11:59 PM CET
Login and apply

Share links

Return to job vacancies