Qualifications:

• PhD in Biomedical, Electrical or Computer Engineering, Computer Science, or related disciplines, or equivalent experience in relevant industry. 
• Experience working in the medical device industry, or working with industrial partners in the medical field. 
• Extensive experience in modern scripting languages including Python. 
• Proven experience working with biomedical data including longitudinal health related data and clinical data.
• Experience in long term biomedical recording and data analysis, from wearable systems and related signal analysis, handling of noise, missing data etc. 
• Experience working on bio-signals such as electrocardiogram, electromyogram, electroencephalogram, photo-plethysmogram, accelerometry signals.
• Familiarity with generative AI and Large Language Models for medical and health applications 
• Expertise in machine learning and statistical analysis methods applied to biomedical data.
• Familiarity with biomedical data visualization and relevant tools and techniques.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Experience in implementing algorithms in C/C++, Java, Javascript and Swift.
• Experience with cloud computing platforms (e.g. AWS, Google Cloud).
• Direct experience with generative AI and Large Language Models for medical applications