Software Engineer (100%) - AI & Pediatric Data Science

2-year position, starting date: Summer/Fall 2025 or as agreed (with possibility of extension)

Are you passionate about building infrastructure that fuels cutting-edge research? Join us at the University of Basel and help shape the data and AI backbone for making a real-world impact in child health.
We are looking for a proactive and skilled Software Engineer to join the newly forming research group Analytics and Informatics for Child Health (AICH) at the Department of Biomedical Engineering . The position is embedded in the Basel Research Centre for Child Health (BRCCH) - a dynamic, interdisciplinary environment where engineers, clinicians, and scientists collaborate to solve challenges in pediatric healthcare.
As a core member of the team, you will play a key role in supporting AI/ML research by building and maintaining robust infrastructure, developing research tools, and enabling scalable data pipelines for working with sensitive clinical datasets.

Your position

• Set up, manage, and maintain high-performance and cloud-based computing infrastructure (e.g., SLURM, Kubernetes, Docker)
• Design, develop and maintain data pipelines for clinical data sources (EHR, imaging, sensor data)
• Build and support software tools and prototypes used in AI/ML research projects, including decision support tools for clinical use
• Collaborate with researchers to optimize training workflows and deployment
• Ensure compliance with data privacy and security protocols
• Act as a technical partner to AI researchers and clinical collaborators
• Set up and maintain the group website and contribute to the digital presence of the lab

Your profile

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related field
• Strong programming skills (Python, shell scripting; C++/Java a plus)
• Experience with cluster, cloud and containerized infrastructure (HPC, Kubernetes, Docker, AWS, Azure, or GCP)
• Experience with AI/ML workflows, big data processing, and deployment pipelines (weights&biases, MLFlow etc)
• Experience with using website Content Management Systems (CMS) such as Wordpress or Drupal to deploy websites
• Familiarity with healthcare or biomedical data is an advantage
• Team player with a hands-on mindset and excellent problem-solving skills
• Ability to work independently and take initiative in a research-driven environment
• Willingness to proactively propose technical ideas and solutions that enhance research and infrastructure
• Fluent in English

We offer you

• A collaborative, interdisciplinary environment at the interface of AI, engineering, and healthcare
• AI, engineering, and healthcare
• Close interaction with clinicians and AI researchers working on high-impact pediatric health projects
• Access to unique clinical datasets and cutting-edge infrastructure
• Opportunities for professional growth, including learning in AI/ML and cloud/data engineering
• Competitive salary
• A chance to work in Basel, a vibrant international hub for life sciences and technology