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- Tasks: Support researchers in AI/ML for life sciences, manage data, and develop innovative solutions.
- Company: Join NBIS at Uppsala University, a leading bioinformatics hub in Sweden.
- Benefits: Enjoy a collaborative environment, professional development opportunities, and flexible work arrangements.
- Why this job: Make a real impact in life sciences while working with cutting-edge technology and passionate experts.
- Qualifications: Degree in life sciences or computer science; experience in AI/ML and strong communication skills required.
- Other info: Permanent position with a focus on interdisciplinary collaboration and knowledge sharing.
The predicted salary is between 36000 - 60000 £ per year.
1–2 Application expert(s) in AI/ML at NBIS
Join to apply for the 1–2 Application expert(s) in AI/ML at NBIS role at SciLifeLab
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1–2 Application expert(s) in AI/ML at NBIS
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Join to apply for the 1–2 Application expert(s) in AI/ML at NBIS role at SciLifeLab
Uppsala University, Department of Cell and Molecular Biology
NBIS (National Bioinformatics Infrastructure Sweden) is looking for an engaged and knowledgeable research infrastructure specialist in artificial intelligence (AI)/Machine Learning (ML) with a focus on life science, or alternatively, life science with a focus on AI/ML (or equivalent). You will work closely with researchers, engineers, and other experts within the Support for Computational Resources unit at NBIS and related organisations, notably SciLifeLab, National Academic Infrastructure for Supercomputing in Sweden (NAISS), and EuroHPC. Your mission will be to support and develop AI/ML solutions for advanced life science applications, focusing on strengthening Swedish and European research and innovation. Our goal is that all scientists that could benefit from large-scale compute and storage systems can do so with minimal effort and maximum scientific output.
Read more
NBIS (https://nbis.se) is a national research infrastructure in rapid development with over 120 staff providing support, tools and training in bioinformatics to the Swedish life science research community. NBIS constitutes the bioinformatics platform at SciLifeLab (https://www.scilifelab.se), a national resource that provides advanced technologies and technical know-how in molecular biosciences. NBIS is also the Swedish node in the European infrastructure ELIXIR for biological information. Our work environment in Uppsala is characterised by curiosity, competence, engagement, brainstorming and enjoyable coffee breaks.
Duties
The role will focus on supporting researchers in life science more generally with managing data, software, tools, and support on nationally and internationally available computational resources, including the new AI Factories and EuroHPC resources, at NAISS and elsewhere.
The Work Tasks Will Include Among Other Things
- Helping researchers and engineers manage large-scale data.
- Working with sensitive human data in secure compute environments.
- Developing and implementing AI/ML methods (e.g., machine learning, deep learning) for life science research.
- Collaborating with research groups to identify needs and opportunities for AI/ML support in their projects.
- Contributing to the development of AI infrastructure and tools.
- Participating in training initiatives, workshops, and knowledge transfer within academia.
- Documenting and disseminating results in scientific publications and/or technical reports.
NBIS staff are offered the opportunity to allocate up to 20% of their time to develop professional and technical skills, both to stay current in their own scientific field and to broaden their knowledge and skills in other subjects.
Requirements
The person we are looking for must have:
- A degree within life sciences, computer science, or other relevant field.
- Documented work with methods for AI/ML applied in life sciences.
- Strong social skills, good collaboration abilities, and the capacity to take initiative.
- Good communication skills in English, both verbal and written.
We place great emphasis on personal suitability.
Additional Qualifications
It is considered advantageous if the candidate has documented experience in:
- Working with high-performance computing (HPC) environments.
- Strong programming skills (e.g. TensorFlow, PyTorch, scikit-learn).
- AI/ML applications in life science.
- Large-scale data management (databases, data curation, metadata management, FAIR, etc.).
- Project management or project coordination.
- Provision of support to HPC users.
- Handling sensitive personal data and information security.
- Collaboration with industrial actors or EU projects.
- Strong ability to work in interdisciplinary teams and communicate with both technical and non-technical stakeholders.
- Teaching at the university level.
- Good communication skills in Swedish.
Application
The application should include a CV and a personal letter justifying your interest in the position and how it matches your qualifications.
About The Employment
The employment is a permanent position, probationary period may be applied. Scope of employment 100 %. Starting date as soon as possible or as agreed. Placement: Uppsala
For further information about the position, please contact: SCoRe manager Jonas Söderberg, jonas.soderberg@scilifelab.se and NBIS director Bengt Persson, bengt.persson@nbis.se
Please submit your application by August 29th 2025, UFV-PA 2025/2217.
About Uppsala University
The position is placed at Uppsala University, BMC, Science for Life Laboratory node in Uppsala. The person we are looking for will be employed at Department of Cell and Molecular Biology (ICM) and work at NBIS and SciLifeLab. Uppsala University is one of the founders of SciLifeLab – a national centre for state-of-the-art infrstructure and research in translationsl medicin and molecular biosciences.
ICM is one of the most international, wide and prosperous biomolecular departments in Europe. The research at ICM is divided into seven research programmes ranging from cell biology to biophysics.
Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.
Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.
Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/
The position may be subject to security vetting. If security vetting is conducted, the applicant must pass the vetting process to be eligible for employment.
Please do not send offers of recruitment or advertising services.
Submit your application through Uppsala University’s recruitment system.
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1–2 Application expert(s) in AI/ML at NBIS employer: SciLifeLab
Contact Detail:
SciLifeLab Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 1–2 Application expert(s) in AI/ML at NBIS
✨Tip Number 1
Familiarise yourself with the latest AI/ML tools and techniques relevant to life sciences. Being well-versed in platforms like TensorFlow or PyTorch can set you apart, so consider engaging in online courses or workshops to enhance your skills.
✨Tip Number 2
Network with professionals in the field by attending conferences or webinars related to AI/ML in life sciences. This can help you gain insights into current trends and potentially connect you with key individuals at NBIS or SciLifeLab.
✨Tip Number 3
Showcase your collaborative skills by participating in interdisciplinary projects or hackathons. Highlighting your ability to work with both technical and non-technical stakeholders will demonstrate your fit for the role.
✨Tip Number 4
Prepare to discuss your experience with high-performance computing (HPC) environments during interviews. Understanding how to manage large-scale data and sensitive information securely is crucial for this position.
We think you need these skills to ace 1–2 Application expert(s) in AI/ML at NBIS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML and life sciences. Emphasise any specific projects or roles that demonstrate your expertise in these areas.
Craft a Compelling Personal Letter: In your personal letter, clearly express your interest in the position and how your qualifications align with the job requirements. Use specific examples to illustrate your skills and experiences related to AI/ML applications in life sciences.
Highlight Collaboration Skills: Since the role involves working closely with researchers and engineers, emphasise your strong social skills and ability to collaborate effectively. Mention any past experiences where you successfully worked in interdisciplinary teams.
Showcase Technical Proficiency: If you have experience with programming languages or tools like TensorFlow, PyTorch, or scikit-learn, make sure to include this in your application. Highlight any relevant projects where you applied these skills in a life science context.
How to prepare for a job interview at SciLifeLab
✨Showcase Your AI/ML Knowledge
Make sure to highlight your experience with AI and ML methods, especially in the context of life sciences. Be prepared to discuss specific projects or applications where you've successfully implemented these technologies.
✨Demonstrate Collaboration Skills
Since the role involves working closely with researchers and engineers, emphasise your ability to collaborate effectively. Share examples of past teamwork experiences and how you contributed to achieving common goals.
✨Prepare for Technical Questions
Expect technical questions related to high-performance computing and programming languages like TensorFlow or PyTorch. Brush up on your technical skills and be ready to solve problems or discuss methodologies during the interview.
✨Communicate Clearly
Good communication is key, especially when explaining complex concepts to non-technical stakeholders. Practice articulating your thoughts clearly and concisely, and consider how you can make your expertise accessible to a broader audience.
