Postdoctoral researcher to group protein chemistry

Faculty of Medicine, Department of Translational Medicine

Organisation/Company Lunds universitet Department Faculty of Medicine, Department of Translational Medicine Research Field Medical sciences >
Medicine Researcher Profile First Stage Researcher (R1) Final date to receive applications 3 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

The position will be based at the Department of Translational Medicine in Malmö, which is part of the Faculty of Medicine. The research group, led by Professor Anna Blom, has a particular focus on innate immunity, with emphasis on the complement system in health and disease.

Within the research group, we value a positive working environment characterized by respect and care in our relationships with one another, and we strive to create a workplace that is perceived as developmental and stimulating for all employees. We continuously work to create conditions for job satisfaction, professional development, and participation for everyone. We care about both physical safety and the psychosocial work environment.

The project focuses on novel roles of complement proteins, such as C3, in metabolic diseases, particularly diabetes, as well as the development and dysregulation of the immune response.

At Lund University, a postdoctoral position is intended to provide opportunities for scientific and pedagogical development. The primary focus is on research merit, but some higher education pedagogical training may also be included. Teaching may form part of the duties.

The main responsibilities involve conducting research on novel roles of complement proteins such as C3 in metabolic diseases, particularly diabetes, and in immune system development and dysregulation. Extensive animal experimentation is included. Additional duties within the research group may include bioinformatic analysis of group-wide datasets (e.g., RNA sequencing, metabolomics), responsibility for advanced equipment (e.g., flow cytometry or microscopy), and introduction and training of new users of such equipment.

The work may also involve supervision of students and presentation of research results  work is experimental in nature and must be conducted on site, with no possibility for remote work.

Required qualifications:

• PhD degree or equivalent foreign degree in life sciences. The doctoral degree must be completed by the time the employment decision is made.
• Demonstrated ability to develop and conduct high-quality research.
• Teaching ability.
• Solid knowledge of metabolism and immunology.
• Strong expertise in bioinformatic data analysis: high-throughput data analysis using R and Python for preprocessing, statistical analysis, and interpretation; advanced analysis of large-scale single-cell and bulk omics data (transcriptomics and metabolomics); and multi-omics integration.
• Experience working with laboratory animals (mice) and valid certification for this in Sweden.
• Excellent written and spoken English.
• High motivation, with expectations of developing substantial independence and contributing creatively to the project. The position requires the ability to collaborate and work independently, along with relevant experience and skills to successfully carry out the project. Strong communication skills and willingness to collaborate with all group members are assumed

Meritorious for the position are:

• Preference will be given to applicants who obtained their PhD no more than three years before the Final date to receive applications.
• Experience with the following in vivo experimental studies: handling and breeding genetically modified mouse models, including diet-induced obesity models; metabolic phenotyping (OGTT, IPGTT, ITT, metabolic cages/indirect calorimetry); tissue collection; isolation of immune cells from tissues; sectioning and staining for histological analysis; measurement of plasma metabolites and hormones…