Job Advertisement: Fixed-term Position at the University of Gothenburg

The University of Gothenburg meets societal challenges with versatile knowledge. With 56,000 students and 6,600 employees, the university is a large and inspiring workplace. Strong research and attractive education attract researchers and students from all over the world. With new knowledge and new perspectives, the University of Gothenburg contributes to a better future.

The Department of Medicine, Division of Molecular and Clinical Medicine, conducts translational research primarily on metabolism, diabetes, obesity, and cardiovascular disease to improve health and healthcare in society. The overarching goal is to create an excellent translational research environment of very high international standard.

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

Job Responsibilities

The work primarily involves the collection and analysis of publicly available transcriptomic (single-cell and bulk) data, 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, computer science, machine learning, molecular biology, or a related field is required. If the degree is not yet completed, please indicate the expected completion date.
• A strong background in computation and the ability to code independently in Python or R is required.
• Basic understanding of statistical analysis of large datasets is expected.
• Fluent English in both spoken and written form.

Meritorious:

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

We place great emphasis on personal suitability.

Employment

Type of employment: Fixed-term employment, 6 months
Extent: 100%
Location: Department of Medicine, Gothenburg
Start date: By agreement

Contact Information for the Position

Muhammad Arif
Assistant Professor
muhammad.arif@gu.se (mailto:muhammad.arif@gu.se)

Malin Levin
Department Head
Malin.Levin@wlab.gu.se (mailto:Malin.Levin@wlab.gu.se)

Trade Unions

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

Application

You apply for the position via the University of Gothenburg's recruitment portal by registering your application electronically through the website: http://www.gu.se/omuniversitetet/aktuellt/lediga-jobb (http://www.gu.se/omuniversitetet/aktuellt/lediga-jobb). As an applicant, you are responsible for ensuring that your application is complete in accordance with the advertisement and that it is submitted to the university no later than the application deadline.

Proof of your Master's degree must be attached with your application.

Your application should include:

• A CV.
• A short personal letter describing your experiences and suitability for the position. Please emphasize specific research interests. (Max one A4 page)
• A copy of your Master's degree certificate.

We kindly ask you to write your application in English.

The application must be received by: 2025-04-29

The university actively works for a work environment with equal conditions and values the qualities that diversity brings to the organization.

The university applies individual salary setting.

According to the National Archives' regulations, the university is obliged to store application documents for two years after the appointment decision. If you, as an applicant for a position, specifically request the return of your documents, they will be sent back after the two years have passed; otherwise, they will be disposed of.

To staffing and recruitment companies and to you as a seller: The University of Gothenburg engages an approved advertising agency in connection with the recruitment of staff. We kindly but firmly decline direct contact with staffing and recruitment companies as well as sellers of job advertisements.