Postdoctoral Associate in Data Analysis

The position is responsible for analyzing datasets generated by cores in methylation, metabolomics, and proteomics. The focus of this role is to apply advanced analytical and computational approaches to characterize complex diseases through the integration of multi-omics modalities.

Requirements

• Formulates hypothesis independently and performs comprehensive data analysis of methylation, metabolomics, and proteomics datasets.
• Develops and implements bioinformatics pipelines for multi-omics data integration.
• Interprets results and identification of biomarkers or molecular signatures associated with complex diseases.
• Collaborate with core members, investigators, and external partners to ensure high-quality data processing and analysis.
• Prepare reports, visualizations, and scientific manuscripts summarizing findings.
• Writes and publishes articles in peer-reviewed journals that highlights research findings.
• Present research results in internal meetings and external scientific conferences.
• Maintains accurate documentation of analytical methods, results, and project progress.
• Researches articles with respect to the assigned study, keeps up to date with the latest developments and identifies areas of improvement.