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 Required Qualifications & Experience: · PhD from an accredited program in bioinformatics, biostatistics, or another closely related field. Java, C++, Perl) · Experience with R/Bioconductor · Demonstrated track-record of supporting data science research · Strong written and oral communication skills Preferred Qualifications & Experience: · Grant- and/or contract-writing participation at the state and federal levels · Experience in building and maintaining databases and statistical analysis plans and workflows · Familiarity with FDA in vitro diagnostic device software regulatory guidelines Working at Nelson: The long-term mission of Nelson Scientific Labs.