The way we do biomedical science is changing. Given that we can now measure millions of variables per experiment, the next set of great discoveries will be made by researchers who can efficiently sift through large volumes of data and rigorously glean elemental truths. While methods in science are shifting, the fundamental questions remain the same. Therefore, our research collaborative is seeking extremely motivated team members who are clinically oriented and skilled at conducting conventional and advanced statistical analyses of high-dimensional datasets to address clear and relevant questions. In addition to a biomedical understanding of age-related diseases, we are interested in candidates with experience in critically appraising data analysis approaches. Our inter-institutional collaborative applies high-throughput molecular and image-based phenotyping methods in population cohorts to identify key drivers of the balance between healthy aging and the risk for age-related diseases. Our team includes clinicians, biostatisticians, bioinformaticians, epidemiologists, imaging specialists, mass spectrometrists, analytical chemists, and basic biologists -- all collectively focused on making discoveries that will profoundly impact human health.