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National Institutes of Health/National Library of Medicine | Bethesda, Maryland | United States | about 1 month ago
statistically rigorous and scalable to the volume of data being generated. In addition, semantic representation of the knowledge derived from the processing, analysis, and interpretation of these data is needed
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National Eye Institute, National Institutes of Health | Bethesda, Maryland | United States | 6 days ago
support clinical research activities by collaborating in the development of machine learning and AI approaches that integrate multiple modalities, advanced statistical methods, and data management
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to design, guide, conduct statistical analysis, and interpret multi-omics datasets including proteomics, NGS, and chemical biology data in the context of drug discovery projects. Contribute to the development
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communication skills Nice-to-Have Experience with tangential flow filtration Statistical software use, such as JMP Experience with GMP manufacturing Familiarity with CMC team function Experience with technology
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, Chip-Seq, etc) and basic bioinformatic and statistical analysis. Experience with FACS-based pooled screening. Knowledge and experience with protein chemistry. PHYSICAL/MENTAL REQUIREMENTS Sitting