项目介绍

2025年4月2日

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/

Subject

Systems Biology of Cardiometabolic Diseases

Specific Subject Description

Cardiometabolic diseases (CMD) are progressive and multifactorial and require stage-specific biomarkers for early detection. This project aims to develop data-driven approaches to identify progressive CMD biomarkers and candidate therapeutic targets.

Job Assignments 

The postdoctoral fellow will primarily focus on conducting high-quality research. You will lead a project analyzing multi-omics data from blood and affected tissues of clinical patients while contributing to ongoing research in the field.

Responsibilities include data quality control and analysis, dissemination of findings through research articles and conference presentations, and mentoring students in the group. There is flexibility to refine and expand the project’s scope within the defined framework based on your expertise and research interests. Additionally, you are expected to collaborate on projects with other group members, contribute to administrative tasks such as data acquisition and ethical applications, and support the overall functioning of the research team.

This position is part of the national DDLS program, providing you with the opportunity to join a network of next-generation data-driven life scientists. The program aims to build strong, globally competitive computational and data science capabilities within Swedish life science.

Eligibility 

To be eligible for appointment as a postdoc, the applicant is required to have a doctoral degree in a relevant subject, or a foreign degree that is deemed to be equivalent to a doctoral degree. This eligibility requirement must be met before the employment decision is made.

In the first instance, those who have completed their degree no more than three years prior to the end of the application period shall be considered. Those who have completed their degree more than three years prior to the end of the application period may also be considered in the first instance if special grounds exist. Special grounds relate to leave of absence due to illness, parental leave, commissions of trust within union organisations, service within the defence services or other similar circumstances, as well as clinical service or service/assignment relevant to the subject area. 

Assesment Criteria

Requirements:

• PhD in bioinformatics, biostatistics, computational biology, data science, machine learning, molecular biology, or a related field is required.
• Ability to generate ideas and perform independent research is essential.
• A strong computational background and ability to work with UNIX and code independently in Python or R are required (Python is preferred).
• Experience with analysis and visualization of large data is expected.
• Fluency in written and spoken English is required.

Merits:

• Proven ability to write scientific text coherently. This can be demonstrated by published scientific articles where the applicant is the first author and write a major part of the text (including ready-to-submit manuscript in preprint servers)
• Experience in working with noisy data and managing multiple confounding factors
• Experience in applying machine learning and/or network analysis in complex datasets
• Experience of using version control (e.g. Git) and reproducible science.
• Experience in working with High-performance computing infrastructure.
• Experience with omics data analysis (e.g. transcriptomics, metabolomics) beyond statistical inference.
• Experience with cardiometabolic diseases research

These qualifications will be used for ranking candidates, by assessment of competence and proficiency, applicants which are deemed to have the best conditions for implementing the current tasks and contributing to a positive development of the research group will be selected. Great emphasis will be placed in personal suitability, we value collaborative skills, creativity and being structured.

Employment 

Type of employment: Fixed-term employment, 24 months
Extent: 100%
Location: Institution of Medicine, Gothenburg
Start date: According to agreement

Contact Information

Muhammad Arif
Associate Senior Lecturer
muhammad.arif@gu.se

Malin Levin
Head of Department 
Malin.Levin@wlab.gu.se

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.

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 PhD certificate with the application, if the PhD certificate has not yet been issued, it needs to be attached latest at the time when the employment decision is to be made.

Your application should contain:

• A Curriculum Vitae. Please include two most representative/key publications.
• A short personal letter describing brief motivation why you want to join our group previous research experiences and suitability with the position. Please emphasize on particular research interests. (Maximum two A4 page)
• Contact details of two references who will be contacted after the interview stage. Please include name, designation, relation to the applicant, and email address. Phone number is optional, only when the person agrees to be contacted by phone.

Please sumbit your application in english. 

Closing date: 2025-04-29