Responsibilities include but are not limited to the following: · Develop and maintain an integrated, R/Python-based analytical pipeline based around instrument manufacturers’ software and/or from publicly available resources, and/or de novo, for processing raw data (peak alignment, background subtraction, feature extraction, selection of statistically significant features); · Conduct and develop detailed reports on advanced and innovative multi-omics data analyses to support biomarker discovery, confirmation, and validation; · Use of pathway databases such as METLIN Gen2 and KEGG pathway and compound to test hypotheses, identify features of interest, and build molecular mechanisms underlying phenotypes under investigation; · Implement machine learning and AI tools for the analysis and integration of multi-omics data including transcriptomics, proteomics and miRNA data sets; · Develop software tool for risk assessment using biomarker and clinical outcome data. The role requires the ability to work independently or as part of a multidisciplinary team, along with solid programming and analytical skills, including competency in R, Python, and database applications.