Associate Researcher in Bioinformatics or Data Science

The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.

The Department of Molecular and Clinical Medicine, at the Institute of Medicine, conducts translational research primarily on metabolism, diabetes, obesity and cardiovascular disease in order to improve health and healthcare in the community. The overall goal is to create an excellent translational research environment of a very high international standard.

The position will be hosted in Muhammad Arif’s research group at the Wallenberg Laboratory. The group is part of the national Data-Driven Life Science (DDLS) program, funded by the Knut and Alice Wallenberg Foundation. Their research focuses on developing computational methods and integrating multi-omics data to study progressive diseases, particularly cardiometabolic-associated diseases. Learn more about the research group here: https://www.scilifelab.se/researchers/muhammad-arif/

Job Assignments

The work primarily involves collecting and analysing publicly available transcriptomics (single-cell and bulk) datasets, including GTEx data. You will also develop an analysis pipeline and implement it in a high-performance computing environment.

Qualifications

Requirements:

• A Master’s degree (or equivalent) in bioinformatics, biostatistics, computational biology, data science, machine learning, molecular biology, or a related field is required. If not yet completed, please provide the expected completion date.
• A computational background and the ability to code independently in Python or R are required.
• Basic understanding of statistical analysis in large dataset is expected.
• Fluency in written and spoken English.
  
  

Merits

• Experience in applying machine learning and/or network analysis in complex datasets
• Experience with analysis and visualization of large data.
• Experience with omics data analysis (e.g. transcriptomics, metabolomics)
  
  

Great emphasis will be placed on personal suitability.

Employment

Type of employment: Fixed-term employment, 6 months

Extent: 100%

Location: Institution of Medicine, Gothenburg

Start date: According to agreement

Contact Information

Muhammad Arif

Associate Senior Lecturer

[email protected]

Malin Levin

Head of Department

[email protected]

Unions

Union representatives at the University of Gothenburg can be found here: https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande

Information For International Applicants

Visit the webpage Join us – jobs and career for more information on the Institute of Medicine and what opportunities we have for you. Discover our world-class research and research infrastructure, as well as what the benefits are for you and your family.

Benefits

Choosing a career in a foreign country is a big step. Thus, to give you a general idea of what we and Gothenburg have to offer in terms of benefits and life in general for you and your family/spouse/partner please visit:

https://www.gu.se/en/about-the-university/welcome-services

https://www.movetogothenburg.com/

Application

Submit your application via the University of Gothenburg’s recruitment portal by clicking the “Apply” button. It is your responsibility to ensure that the application is complete as per the vacancy notice, and that the University receives it by the final application deadline.

Please attach your master’s degree certificate with the application.

Your Application Should Contain

• A Cover letter.
• A short personal letter describing experiences and suitability with the position. Please emphasize on particular research interests. (Maximum one A4 page)
• A copy of your master’s degree certificate
  
  

Please submit your application in English.

Closing Date: 2025-04-29

The University works actively to achieve a working environment with equal conditions, and values the qualities that diversity brings to its operations.

Salaries are set individually at the University.

In accordance with the National Archives of Sweden’s regulations, the University must archive application documents for two years after the appointment is filled. If you request that your documents are returned, they will be returned to you once the two years have passed. Otherwise, they will be destroyed.

In connection to this recruitment, we have already decided which recruitment channels we should use. We therefore decline further contact with vendors, recruitment and staffing companies.