Researcher in Translational Bioinformatics

The University of Skövde is a central and leading player in education, research, and collaboration that supports the transition to a sustainable future – regionally, nationally, and internationally. Our 10,000 students and 500 employees create conditions for society's digital transformation and sustainable societal development through high-quality education and research in selected areas. Welcome to a vibrant campus in Skaraborg.

The position will be placed in the research group for Translational Bioinformatics, which has extensive experience in developing methods and tools for large-scale data analysis within the life sciences. The research work will primarily involve new approaches in in vitro disease modeling and drug development, combining practical experimental work with advanced bioinformatics and AI-based analytical techniques. This is a collaborative project between academia and industry within the recently granted research profile AI-driven Precision Medicine, funded by the Foundation for Knowledge and Competence Development.

Your Role

The main tasks are to conduct research. Additional tasks may be included in the position.

Qualifications

We are looking for candidates who have:

• Education: A master's degree, or at least 240 higher education credits
• Relevant courses are advanced level courses in bioinformatics, biotechnology, biochemistry, systems biology, or a related field.
• English: Passed in English B or equivalent.

Assessment Criteria:

• Documented ability to work effectively both in teams and independently.
• Documented ability to plan, organize, and achieve set goals.
• Practical experience in experimental work such as qPCR, Western blot, fluorescence microscopy, and immunocytochemistry.
• Experience in statistics, bioinformatics, and visualization with R, Python, and Linux.
• Experience in AI-based data analysis, including machine learning/deep learning and image analysis including Keras and TensorFlow.
• Knowledge of multi-omics data analysis, including single-cell RNA sequencing.
• Ability to communicate effectively in spoken and written English.

In this employment, great importance will be attached to documented experience in statistics, bioinformatics, and visualization techniques with R, Python, and Linux, documented experience in AI-based data analysis methods including machine learning/deep learning and image analysis, including Keras and TensorFlow, as well as good knowledge of multi-omics data analysis including scRNA-seq.

Employment Conditions

This is a fixed-term employment for 6 months. The extent is 100%, mainly consisting of research work.

Application deadline: December 12, 2025

Diary number: HS 2025/691

Contact Information

Inquiries about the position can be made to Henrik Thilander ([email protected] (mailto:[email protected])) and Project Manager Jane Synnergren ([email protected] (mailto:[email protected])). Union information can be provided by Anders Johansson (Saco-S) or Sonja Nohlgren (ST). All persons can be reached via the University switchboard at 0500-44 80 00.

Application

You apply for the position via our website, www.his.se/jobb (http://www.his.se/jobb) by clicking on “Apply” at the bottom of the advertisement. There you can also read more about the University’s recruitment process and what benefits you have as an employee with us. Welcome with your application!

To your application, the following documents should be attached:

• Cover letter
• CV
• Certificates/grades and other merit documents you wish to refer to
• Interest description where you outline your research interests and expectations for the doctoral education in English
• Thesis

Contact the HR department at [email protected] (mailto:[email protected]) if you have publications that cannot be attached electronically directly in the application. The publications must be received by the university no later than one week after the application deadline.