Assistant professor in Genetics and Diabetes

Description of the workplace
Within the research group for Genetics and Diabetes, research is conducted focusing on precision medicine and identifying genetic risk factors for diabetes and its complications. You can read more about the research here. The research group is led by Associate Professor Emma Ahlqvist. The activities are based at the Clinical Research Centre in Malmö.
We care about creating a positive, respectful, and stimulating environment. We value communication and collaboration and a workplace that promotes learning and development for all employees. We are also committed to building a safe and positive environment for all employees through mutual respect and tolerance.

We offer
Lund University is a governmental authority, which means you get special benefits, generous holidays and a favorable occupational pension. Read more on the university's website about being employed at Lund University, Work with us.

Work duties
As an assistant researcher within the research group, you will conduct research projects focused on precision medicine for type 2 diabetes. In 2018, the research group published a study that, based on simple clinical parameters, identifies 5 subtypes of diabetes (Ahlqvist et al., 2018, Lancet D&E). For this project, we are seeking a skilled bioinformatician to study the underlying genetics that lead to susceptibility to diabetes and related traits. We will use statistical and genetic methods and GWAS data from large patient cohorts. Furthermore, the findings will be followed up with various bioinformatics methods. 
You will also work with machine learning to develop new methods for classifying diabetes and predicting the risk of complications. Other tasks within the research group may also be relevant.

Qualifications
Requirements for the position are:
•    PhD in bioinformatics, statistics or other equivalent discipline
•    Knowledge and experience in machine learning, statistics, genetics, and statistical analysis in the R software
•    Good knowledge in bioinformatics, genetics and biology/medicine
•    Experience working with large data files.

Personal qualities: The applicant must be motivated, focused, and meticulous. The applicant needs to be able to work both independently and in a team. Excellent communication skills in English (both oral and written) are required. Great attention will be paid to the applicant's personal suitability for the position. The applicant should be able to work in a structured manner, be flexible, and manage multiple projects simultaneously.

Meritorious for the position are:
•    Good knowledge in diabetes research and precision medicine 
•    Experience with GWAS analysis and other large-scale genetic methods

Terms of employment
The employment is a Permanent position, full time. Desired start date is June 1, 2025, or as agreed

How to apply
The position is sought via the university’s recruitment system. Applications must include a personal motivation letter, in which you describe how you meet the qualification requirements and why you are interested in the position. The application must also contain a CV, contact information of two references, a degree certificate (including a grade transcript) and other documents you wish to be considered (e.g. letters of recommendation and list of publications).