Our Principal Data Scientist will manage a team of data scientists and machine learning engineers to use multi-omics datasets to find diagnostic patterns of rare and hard-to-diagnose diseases and to generate actionable targets for drug development.
ICR is hiring Senior Data Scientists with expertise in integrating and analyzing multi-omic datasets to identify diagnostic disease signatures and find actionable targets for drug development. These scientists would work in ICR's Translational Bioinformatics Group, focusing on rare and hard-to-diagnose diseases.
We're integrating and analyzing multi-omics data sets to not only fight aging and age-related disease, but also to find the causes of rare and hard-to-diagnose diseases. Our Integrative Omics scientists will form the core organizational infrastructure of ICR's efforts to advance individualized medicine and improve human healthspan through integrative omics.
Our genomics research aims to identify the strong and weak points in the human genome as they relate to health and disease risk. We're diving deep into human genomes to improve personalized medicine through personalized genomics.
We're applying advanced machine learning tools to improve and accelerate our research in areas like early cancer detection and health and disease biomarker analysis. If you have deep experience using Bayesian methods for predictive statistics and modeling of biological datasets, then consider a position with us!
We build and analyze databases of health biomarker data to better predict and prevent disease. We're looking for talented bioinformatics scientists to join our team!