The University of Gothenburg is inviting applications for a Postdoctoral Position in Systems Biology of Cardiometabolic Diseases. The role focuses on developing data-driven approaches to identify biomarkers and therapeutic targets for progressive cardiometabolic diseases, with opportunities to work within the national DDLS program and a dynamic international research environment.

Applicants must have a PhD in bioinformatics, computational biology, molecular biology, or a related field. Strong skills in Python or R programming, experience with large-scale data analysis, and fluency in English are required. Additional merits include experience with omics data, machine learning, high-performance computing, and previous research on cardiometabolic diseases.

The University of Gothenburg is one of Sweden’s largest and most respected universities, with around 56,000 students and 6,600 employees. Known for its strong research and broad range of programs, it fosters an inspiring environment for innovation and collaboration. Located in the vibrant city of Gothenburg, the University actively contributes to addressing global challenges through world-class research, education, and community engagement.

Application Deadline: 29 April 2025

Brief Description

• University or Organization: University of Gothenburg

• Department: Department of Molecular and Clinical Medicine, Institute of Medicine

• Course Level: Postdoctoral (Research Fellowship)

• Award: Salary (fixed-term employment, individually set)

• Access Mode: Online

• Number of Awards: NA

• Nationality: Domestic and International

• The award can be taken in: Sweden

Eligibility

• Eligible Countries: All nationalities are eligible.

• Acceptable Course or Subjects: The fellowship will be awarded in the field of Systems Biology of Cardiometabolic Diseases.

• Admissible Criteria: To be eligible, applicants must meet the following criteria:

  • Hold a PhD in bioinformatics, biostatistics, computational biology, data science, machine learning, molecular biology, or a related field.

  • Demonstrated ability to conduct independent research.

  • Strong computational skills, proficiency in UNIX, and coding skills in Python or R (Python preferred).

  • Experience in analyzing and visualizing large datasets.

  • Fluency in written and spoken English.

  • Additional merits include experience with:

    • Scientific writing (as evidenced by first-author publications).

    • Handling noisy data and confounding factors.

    • Applying machine learning or network analysis to complex datasets.

    • Version control (e.g., Git) and reproducible research practices.

    • High-performance computing infrastructure.

    • Omics data analysis (e.g., transcriptomics, metabolomics).

    • Research related to cardiometabolic diseases.

  • Personal suitability emphasizing collaboration, creativity, and structured working habits will be highly valued.

How to Apply

Submit your application through the University of Gothenburg’s recruitment portal by clicking the “Apply” button before the deadline. Ensure that your application is complete and includes:

• A Curriculum Vitae (including two key publications).

• A short personal letter (maximum two A4 pages) describing your motivation, previous research experience, and specific research interests.

• Contact details of two references (name, designation, relation, email, and optionally phone number).

Please submit your application in English. Attach your PhD certificate; if it is not yet available, it must be provided before the employment decision is finalized.

For questions, you may contact:

• Muhammad Arif, Associate Senior Lecturer: [email protected]

• Malin Levin, Head of Department: [email protected]

Learn more about the University’s support for international applicants:

• Welcome Services

• Move to Gothenburg

Benefits

• Fixed-term full-time employment (24 months).

• Competitive salary set individually.

• Opportunity to join the national DDLS (Data-Driven Life Science) program, offering a strong network in computational and life sciences.

• Access to world-class research facilities and infrastructure at the University of Gothenburg.

• Career and relocation support for international researchers.

Apply Now