Lunds universitet, Medicinska fakulteten, Kliniska vetenskaper Malmö

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 workplace

At research group Genomics Diabetes and Endocrinology, research is conducted within the purview of precision medicine and metabolic complexity of type 2 diabetes. The research group has been at the forefront of the field of precision medicine and genetics of diabetes for several years. The group formerly established by Senior Prof. Leif Groop and is led by Associate Professor Ola Hansson and consists of 20 research and technical staff. The lab is located at the Clinical Research Centre in Malmö. Here you can read more about our exciting research.

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 perceived as 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 psychosocial work environment.

On offer

Lund university is a public authority and thereby offers various benefits, a generous amount of annual leave as well as a favorable occupational pension scheme.

Work duties and areas of responsibility

In 2018 the research group published a method to identify five subtypes of diabetes using simple clinical parameters (Ahlqvist et al, 2018, Lancet D&E).

For this project, supervised by associate professor Emma Ahlqvist, we are looking for a skilled bioinformatician to study the genetic risk factors that lead to susceptibility to diabetes and diabetes related traits.  We will use statistical and genetic methods to analyze GWAS-data from large cohorts of individuals with diabetes. Significant findings will be followed up using bioinformatic methods.

We will also work with machine learning methods to develop new methods for classification of diabetes and prediction of complications.

The work can also include other departmental duties.

Eligibility

Appointment to the position of postdoc requires that the applicant has a PhD or an international degree deemed equivalent to a PhD, within the subject of the position, completed no more than three years before the application deadline. Under special circumstances the PhD can have been completed previous to the aforementioned three years.

Qualifications

Requirements:

  • PhD in bioinformatics, statistics or an equivalent discipline.
  • Good knowledge and experience in machine learning, statistics, genetics and data analysis in the R software.
  • Good knowledge in bioinformatics, genetics and biology.
  • Experience working with large datasets.
  • Good communication skills in English, oral as well as written.

Personal characteristics:

The applicant must be motivated, focused and meticulous. The applicant will need to be able to work both independently and as part of a team. 

Great attention will be paid on personal suitability for the position. The applicant must be able to work in a structured way, be flexible and able to handle multiple projects simultaneously.

Additional requirements:

  • Good knowledge in diabetes research and precision medicine.
  • Experience in GWAS analysis and other genomics methods.
  • Experience analyzing next-generation sequencing data.

Terms of employment

This is a full-time employment limited to 2 years with a preliminary start date set for 2022-07-01. The period of employment is determined in accordance with the agreement "Avtal om tidsbegränsad anställning som postdoktor" ("Agreement on fixed-term employment as a post-doctoral researcher") between SACO-s, OFR/S and SEKO, dater November 19, 2021.

Application instructions

The application must contain a cover letter as well as a CV and relevant diplomas.

Type of employment Temporary position
Contract type Full time
Number of positions 1
Full-time equivalent 100
City Malmö
County Skåne län
Country Sweden
Reference number PA2022/920
Contact
  • Ola Hansson, research group leader,, ola.hansson@med.lu.se,+4640-391228
  • Anton Lagerbäck, HR-coordinator,, anton.lagerback@med.lu.se,+4640-391904
Union representative
  • OFR/ST:Fackförbundet ST:s kansli, 046-2229362
  • SACO:Saco-s-rådet vid Lunds universitet, 046-2229364
  • SEKO: Seko Civil, 046-2229366
Published 09.May.2022
Last application date 30.May.2022 11:59 PM CEST

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