Vacant job

Department of Biochemistry and Biophysics

SciLifeLab is a national centre for molecular biosciences focusing on research into health and the environment. The centre combines leading technical expertise with advanced knowledge in translational medicine and molecular biosciences. SciLifeLab is a national resource operated by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University, and Uppsala University. The centre collaborates with several other higher education institutions.

Administratively, the position will be located at the Department of Biochemistry and Biophysics, Stockholm University. For more information about our activities, see our website: www.dbb.su.se (http://www.dbb.su.se).

Job Description

SciLifeLab and the Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative focusing on data-driven research. The aim is to train and recruit the next generation of life scientists and to create strong, globally competitive competence in computational science and computer science for Swedish life sciences. The program aims to strengthen national collaborations between universities, bridge research environments within life and data sciences, and create partnerships with industry, healthcare, and other national and international actors.

We are now seeking outstanding experts in computer science, machine learning, and artificial intelligence to support excellent research projects and contribute to advanced supervision and doctoral education at the national level. As part of our national support teams, you will become a fully integrated member of SciLifeLab's bioinformatics platform (National Bioinformatics Infrastructure Sweden: www.nbis.se (http://www.nbis.se)), a unique national infrastructure with over 120 experts offering advanced support, infrastructure, and education in bioinformatics and computer science to the Swedish life science research community, with a strong national and international collaboration network.

The main responsibilities include:

• Conducting advanced data analysis within nationally prioritized data-driven life science research projects, focusing on advanced machine learning and AI.
• Developing and implementing necessary tools and workflows for such analyses.
• Educating other researchers across Sweden through collaboration in project support, consultations, mentorship, and advanced national doctoral education courses.
• Contributing to the strategic development of advanced machine learning and AI at the bioinformatics platform, within the DDLS program, and within SciLifeLab as a whole, in close collaboration with external partners.

Qualifications

We are looking for outstanding experts in machine learning and AI with experience in areas such as advanced image analysis, data structuring and data integration, as well as large language models (LLMs) with applications in biological and biomedical research.

The successful candidates will have:

• A PhD or equivalent work experience in image analysis, bioinformatics, computer science, engineering, physics, or a related field.
• Extensive experience (3+ years) in applying and/or developing advanced methods in machine learning and AI relevant to internationally competitive life science research.
• Very good oral and written communication skills in English.
• Strong collaboration and communication skills.

Additional qualifications

Relevant postdoctoral studies or equivalent industrial experience are a strong merit but not a requirement. Programming skills in Python and experience with data science tools such as NumPy, Pandas, or Matplotlib are desirable, as is experience with modern deep learning frameworks such as PyTorch and TensorFlow. "Reproducible research" and "FAIR data" are central concepts for us, and we value experience in developing reproducible code through code-sharing platforms, version control, workflow languages, and container solutions. Documented ability to responsibly and in accordance with laws and regulations use machine learning/AI methods for sensitive personal data is desirable, as is experience with validation and/or interpretability of AI models.

About the Position

The employment is permanent and full-time, with a six-month probationary period. Stockholm University applies individual salary setting. Start date by agreement.

What We Offer

Here you will experience the dynamics of the interaction between higher education and research that makes Stockholm University a stimulating and creative environment. You will work in an international environment and enjoy favorable conditions. The workplace is located at SciLifeLab's Stockholm campus in Solna.

Stockholm University strives to be a workplace free from discrimination, offering equal rights and opportunities for all.

Contact

For further information, please contact Björn Nystedt, [email protected] (mailto:[email protected]) or Pär Engström, [email protected] (mailto:[email protected]).

Application

You apply for the position via Stockholm University's recruitment system. As an applicant, you are responsible for ensuring that your application is complete and submitted to the university no later than the last day of application.

Instructions for applicants can be found on the webpage: Applying for a position.

Stockholm University contributes to the development of a sustainable democratic society through knowledge, enlightenment, and the pursuit of truth.