Pioneer the emerging field of cardioinformatics by working together with computational genetics experts and team of scientists to design and implement bioinformatics and computational biology approaches to analyze human genomic data and drive discoveries in public health, with a focus on biostatistical methods, database development (e.g., HeartBioPortal), AI/machine learning approaches (e.g., causal inference methods), and instrumental variable analysis techniques (e.g., Mendelian Randomization) directly relevant to heart health and disease and its applications to drug discovery. Cardiovascular disease is the leading cause of death worldwide, causing over 17 million deaths per year.
Background in biological and/or quantitative sciences; PhD and/or previous post-doctoral experience in genetics, statistical genetics, genetic epidemiology, or related computational discipline.
If you are interested in this opportunity and would like to receive further information, please forward your cover letter, CV/resume, and names/contact information of 3 reference letter writers to: bokhomt@iu.edu