We seek capable and self-motivated individuals who have earned a doctoral degree or foreign equivalent in an interdisciplinary, data-driven field, with educational emphasis in bioinformatics/data science/machine learning /statistics. Additional qualifications include: a superior academic performance, proficiency in R, Python, experience with handling of BIG data and an ability to be self-directed with broadly-defined limits on assignments; excellent communication skills, both oral and written; and a demonstrated ability to interact efficiently with diverse people in a highly multidisciplinary environment. Job description: The applicant is expected to show excellence in independently conducting analyses of high dimensional data (such RNA sequence and proteomic data) including but not limited to applying methods for normalization and quality control (QC), statistical modeling, machine learning algorithms. This is a full-time, two-year postdoctoral position. Candidates may not have more than five years of postdoctoral experience including that from other institutions.