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study development, execution, and dissemination. This role offers hands-on exposure to study design, regulatory processes, patient-facing research activities, data analysis, and scientific publication
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. Qualifications Preferred Skills Analysis of shotgun metagenomics sequencing and metabolomics data Integration of single-cell RNA-seq with proteomic and metabolomic datasets Application of machine learning and AI
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 5 days ago
investigate approaches to harmonize diverse clinical trial datasets, and analyze complex data across multiple studies. Through this, you contribute to developing analytical tools for rapid regulatory response
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and data integration. While machine learning and computational approaches may be applied where appropriate, the core emphasis of the role is on population-level data analysis, interpretation, and
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. The successful applicant will join a thriving pan-Canadian network with 60 active member sites, a nationally harmonized dataset, and partnerships with the Public Health Agency of Canada, provincial Ministries
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graduates are also welcome to apply) Strong programming skills in Python with experience in data manipulation, analysis, and machine learning libraries Demonstrated experience in applying advanced AI/ML
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processing / spectral analysis relevant to convection and waves (e.g., spherical-harmonic or Fourier analysis, power spectra, cross-spectra, filtering, mode fitting). Inverse problems / inference applied