Assistant Researcher to the unit Endocrinology

Description of the Research Group
At the research group
“Hypertension and Cardiovascular Disease”
within the Department of Clinical Sciences, Malmö (IKVM), research is conducted in the field of cardiometabolic disease prevention. For several years, the group has been at the forefront of this research area and has identified novel hormonal systems that influence the risk of cardiometabolic diseases. The group is led by Professor Olle Melander and consists of both research and technical staff. The activities are based at the Clinical Research Centre (CRC) in Malmö.
A positive and supportive work environment is a priority within our research group. We foster a culture of respect, consideration, and collaboration in our interactions with one another, and we strive to provide a workplace that is stimulating, inclusive, and conducive to professional growth for all employees. We continuously work to create conditions that promote job satisfaction, development, and engagement. We are committed to safeguarding both the physical safety and the psychosocial well-being of our staff.
What We Offer
Lund University is a public authority, which means that you are entitled to special benefits, generous annual leave, and a favorable occupational pension. We also have a flextime agreement, which contributes to good conditions for a healthy 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 an Assistant Researcher, your responsibilities will include:
Planning and conducting analyses of omics data (e.g., proteomics and metabolomics) in relation to lifestyle factors such as sleep and physical activity.
Analyzing high-resolution panel data from wearable activity trackers to identify associations between physiological measurements and biological markers.
Developing and applying statistical models for longitudinal data, including mixed-effects models and time-series analyses.
Writing scientific manuscripts for publication, contributing to national and international conferences, and preparing research grant applications related to the project.
Contributing to knowledge dissemination by presenting research findings within and outside the research group.
Supervising students or junior researchers involved in sub-projects.
Keeping up to date with the latest developments in statistical methods, bioinformatics, and wearable technologies for health data research.
Qualifications
The
following
qualifications
are
required
for
the
position:
PhD in a relevant field such as epidemiology, bioinformatics, statistics, medicine, biomedicine, or a related discipline.
Documented experience working with omics data (proteomics, metabolomics, genomics).
Experience in analyzing data from activity trackers and wearable devices (e.g., step counts, sleep, heart rate) and in handling large-scale time-series data (e.g., measurements collected daily as well as minute-by-minute).
Strong knowledge of statistical methods for the analysis of longitudinal data and omics data.
Great emphasis will be placed on personal qualities. The position requires that you are: Analytical, with the ability to identify patterns in complex data structures. Detail-oriented, working in a structured manner and handling large datasets with a high degree of accuracy.Independent, taking responsibility for driving your work forward while seeking support when needed. Communicative, able to present results clearly and collaborate effectively across disciplines. Proactive and initiative-taking, bringing forward your own ideas for new analyses and research questions.
Meritorious qualifications
Experience working in interdisciplinary projects, particularly in collaboration with engineers.
Additional
Information
This
is
a
special
fixed-term
employment
(SÄVA)
for
a 3 months period with preliminary starting date 2026-12-01, or according to agreement. 100 %.
How to Apply
Applications must be submitted through the University’s recruitment system. The application should include a cover letter describing how you meet the qualification requirements and why you are interested in the position. The application should also include a CV, a copy of your doctoral degree certificate, and any other documents you wish to submit in support of your application (such as copies of degree certificates and academic transcripts, contact details for referees, letters of recommendation, etc.).