Bioinformaticians in advanced Machine Learning and AI
Indexed description
The employment will be placed at the Department of biochemistry and biophysics, at Stockholm university. For more information about us, please visit: www.dbb.su.se.
Main responsibilities
The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, to train and recruit the next generation of life scientists and create strong and globally competitive computational and data science capabilities in Swedish life science. The program aims to strengthen national collaborations between universities, bridge the research communities of life and data sciences, and create partnerships with industry, healthcare and other national and international actors.
We are now looking for outstanding experts in data science, machine learning, and artificial intelligence, to support excellent research projects and engage in advanced mentoring and postgraduate training on a national level. As part of our national support teams, you are a fully integrated member of the SciLifeLab Bioinformatics Platform (National Bioinformatics Infrastructure Sweden: www.nbis.se), a unique national infrastructure with over 120 experts providing advanced bioinformatics and data science support, infrastructure and training to the Swedish life science research community, with a strong national and international collaborative network.
The Main Responsibilities Are To
- Carry out advanced data analyses within nationally prioritized data-driven life science research projects, with a focus on advanced machine learning and AI.
- Develop and implement necessary tools and workflows for such analyses.
- Educate other scientists across Sweden through collaboration within supported projects, consultations, mentoring, and advanced national postgraduate courses.
- Engage in the strategic development of advanced machine learning and AI at the bioinformatics platform, the DDLS program and SciLifeLab as a whole, in close collaboration with external partners.
We are looking for outstanding machine learning and AI experts with experience in areas such as advanced image analysis, data structuring and data integration, and large language models (LLMs) with applications in biological and biomedical research.
The Successful Candidate´s Should Have
- a Ph.D. or similar working experience in Image analysis, Bioinformatics, Computer Science, Data Science, Engineering, Physics, or equivalent.
- Extensive (3+ years) experience of applying and/or developing advanced machine learning and AI methods of relevance for internationally competitive life science research.
- Very good oral and written communication skills in English.
- Strong skills in cooperation and communication.
About The Employment
This is a full-time, indefinite-term employment with a six-month probationary period. Stockholm University applies individual salary setting. Start date as per agreement.
We offer
With us, you will experience the dynamic interaction between higher education and research that makes Stockholm University an exciting and creative environment. You will work in an international environment and get favourable conditions. The workplace will be at the SciLifeLab Stockholm campus in Solna.
Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.
Contact
Further information about the position can be obtained from Björn Nystedt, [email protected] or Pär Engström, [email protected].
Application
Apply for the position at Stockholm University’s recruitment system. It is the responsibility of the applicant to ensure that the application is complete and that it is submitted before the deadline.
The instructions for applicants are available at: How to apply for a position.
Stockholm University contributes to the development of sustainable democratic society through knowledge, enlightenment and the pursuit of truth.
Type of employment Permanent position Contract type Full time Salary Individual salary setting Number of positions 2 Full-time equivalent 100 % City Stockholm County Stockholms län Country Sweden Reference number SU FV-1807-26 Union representative ST/OFR ST/OFR, 08162000, [email protected] Saco-S, 08162000, [email protected] Seko, 0770457900, [email protected] Published 15.Jun.2026 Last application date 23.Aug.2026
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search