Clinical AI/ML scientist (Leuven, Belgium)
We are looking for a Clinical AI scientist with a strong scientific and clinical background in AI/ML who is passionate to take on the challenge of developing AI models for pragmatic clinical solutions. The Clinical AI Scientist will work on enhancements of our machine learning-based cloud-services for the diagnosis of lung diseases and for improvements to respiratory clinical trials.
About the role
Your role is to further drive the R&D focus of the company and its product lines. You will boost the current machine learning-based products for the detection of lung diseases and deep learning-based platform for clinical trials. You will aim to further build up clinically validated technology and lead the next generation of products.
Tasks
- Lead and shape the next generation of healthcare
- Develop, validate, and clinically implement AI models
- Go beyond the regular Random Forest or XGBoost approach to push the boundaries of lung disease diagnosis
- Lead the design, execution and coordination of research projects
- Perform robust data analysis and communicate results to different stakeholders
- Derive novel insights, guide decision making, and create analytical solutions to address questions of interest to our clinical and pharmaceutical stakeholders
- Stay on the edge of relevant research and help ArtiQ increase its scientific visibility by participating at scientific conferences and publishing in scientific journals
- Collaborate with a wider multidisciplinary team to define and drive technical developments forward
Your Skills
A multi-cultural, communicative and ownership-taking person who is eager to learn and keep up to date with the state-of-the-art machine learning evolutions.
- Master’s or PhD degree in a quantitative field (e.g. computer science, artificial intelligence, biostatistics, applied mathematics, physics, …)
- At least 3 years of experience, with AI/ML, including statistical modelling, causal inference methods, multivariate regression and classification, deep learning, data curation, and model validation
- Expert proficiency in Python or R and multiple machine learning and visualization libraries
- Previous experience with medical or clinical data
- Previous experience with clinical research projects (diagnostics, real-world evidence, or clinical trials projects) is a big plus
- Knowledge of AWS (or other cloud platforms) is a plus
We Offer
We provide a dynamic, young, international work atmosphere dedicated to developing the next generation of healthcare products to improve quality of life.
- Competitive compensation and work flexibility
- Opportunity to steer and build the company’s product line
- Perspective for constant learning, improvement, and attractive career evolution
- Attendance to international conferences, workshops, and visit international partners
- Opportunity to contribute to the development of the most novel healthcare solutions critical to saving people’s lives