Research Associate in Biostatistics and Machine Learning

This Research Associate position focuses on developing innovative algorithms for heart disease risk prediction using advanced statistical and machine learning techniques. The role involves working with high-dimensional clinical datasets, including imaging and genomic data, to create solutions for complex biomedical challenges. Expertise in biostatistics, coding skills in R and Python, and experience with machine learning algorithms are essential. The position offers the opportunity to collaborate in a multidisciplinary team and contribute to groundbreaking cardiovascular AI research.