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Analysis, Computational Biology, Computer Science, Data Management, Data Reporting, Datasets, Genomics Research, Human Genetics, Microarrays, Model Organism, Problem Solving, Sequence Analysis Grade R07-H
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Qualifications: PhD in Environmental Engineering, Environmental Chemistry, Analytical Chemistry, Environmental Science, and/or other aligned discipline. Operation and optimization of LCMS and/or GCMS
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. Strong writing skills as evidenced by past publications and/or grant awards. Expertise in analysis of multi-omics data preferred, including RNA-sequencing. Preferred Qualifications Education: No additional
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) Deciphering pathogenic coding and non-coding variants linked to congenital heart disease in a cell type-specific manner (Cell 2022), and 4) Combining iPSC-derived cells and single-cell perturb sequencing
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organizational skills and ability to manage multiple priorities and timelines • Ability to work with colleagues in a way that enhances collaboration and team building • Proficiency in Microsoft Office Suite
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organizational skills and ability to manage multiple priorities and timelines • Ability to work with colleagues in a way that enhances collaboration and team building • Proficiency in Microsoft Office Suite
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. Participate in grant-funded research and help identify new funding opportunities aligned with lab objectives. Contribute to the development of new collaborations and technology integration for the Spatial
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, multi-color flow cytometry, mouse disease models, human patient samples, 3D bone marrow organoid models, single-cell RNA-Sequencing, and general molecular and cellular biology techniques. Working
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with research staff implementing multiple research projects to test hypotheses in human subjects. The Research Study Assistant will work to provide administrative and technical support to the research
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mechanisms and disease outcomes. This work involves a multidisciplinary approach, including next-generation sequencing, bacterial genetics, host genetics and metabolomics. Job Description Primary Duties