The Department of Biochemistry and Biophysics. SciLifeLab (SciLifeLab) is a national center for molecular biosciences with focus on health and environmental research. The center combines frontline technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University and Uppsala University. The center also collaborates with several other universities.
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.
At 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 a Data Science lead at the SciLifeLab Bioinformatics Platform (National Bioinformatics Infrastructure Sweden: www.nbis.se) to help shape and accelerate the adoption of advanced machine learning and AI in data-driven Life Science research. At the SciLifeLab Bioinformatics Platform (NBIS), a unique national infrastructure with over 120 experts, you will have a key role in strategic and practical planning together with the SciLifeLab AI lead, and other national and international partners. Part of your time will also involve contributing to selected research projects, provide guidance on advanced analytical and AI-driven methodologies, and engage in postgraduate training on a national level.
The main responsibilities are:
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Strategic and practical planning to shape and accelerate the adoption of advanced machine learning and AI in data-driven Life Science research, in close collaboration with key national and international partners.
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Engage in scientific guidance and training of senior bioinformatics support staff.
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Carry out advanced data analyses and guidance in nationally prioritized data-driven life science research projects.
Engage in advanced national postgraduate courses and training events.
The candidate should have
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a Ph.D. or similar working experience in Image analysis, Bioinformatics, Computer Science, Data Science, Engineering, Physics, or equivalent
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Extensive (5+ years) experience of applying and/or developing advanced machine learning and AI methods in internationally competitive life science research
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Very good oral and written communication skills in English
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Strong skills in cooperation and communication.
Additional qualifications
Relevant postdoctoral studies or equivalent industry experience are a strong merit but not a requirement. Programming knowledge in Python, and experience of data science tools such as Numpy, Pandas or Matplotlib is a merit, as well as experience of using modern deep learning frameworks such as PyTorch and Tensorflow, or from advanced usage of LLMs. “Reproducible research” and “FAIR data” are central concepts to us, and we value experience in the development of reproducible code through code sharing platforms, version control, workflow languages and container solutions. Documented ability of responsible and legally compliant adoption of machine learning/AI methods for sensitive personal data is a merit, as well as experience of AI model validation and/or interpretability.
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.
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.
Further information about the position can be obtained from Björn Nystedt, [email protected] or Pär Engström, [email protected].
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.
Anställningsform: tillsvidareanställning | Anställningens omfattning: heltid | Antal lediga befattningar: 1 | Sysselsättningsgrad: 100 % | Ort: Stockholm | Län: Stockholms län | Land: Sweden | Referensnummer: SU FV-1806-26 | Facklig företrädare: ST/OFR ST/OFR 08162000, Saco-S Saco-S 08162000, Saco-S Saco-S 08162000, Seko Seko 0770457900, Seko Seko 0770457900, ST/OFR ST/OFR 08162000, | Publicerat: 2026-06-15 | Sista ansökningsdag: 2026-08-23
