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, including models customized for fungal genomes. Training will include crop and fungal RNA-seq analysis; integration of multi-omic and phenotypic data; protein-interaction and structure-based analyses; and
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Institute. CHARACTERISTIC DUTIES ● Analyze large scRNA-Seq datasets to profile transcriptomes from brain organoid models and neuronal cell populations, and interpret results to derive important
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Desirable Skills: Experience analyzing and integrating multi-omics datasets, including single-cell RNA-seq, bulk RNA-seq, spatial transcriptomics, proteomics, secretome/exosome profiling, and functional assay
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in RNA biology and novel reverse transcriptase, with RNA-seq, diagnostic, and genome engineering or structural biology. Responsibilities Conduct independent research in RNA biology, RNA analysis, and
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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, Computer Science, or related field. Strong programming skills in Python, R, or equivalent, with experience in data analysis, statistics, and machine learning. Experience with multiomic datasets, including RNA
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communication skills. Preferred Genome-wide association studies (GWAS) Statistical genetics and polygenic scores Single-cell RNA-seq, proteomics, or other multi-omics analyses Artificial intelligence and machine
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technological breakthroughs to explore the biology of complex systems. Principal Responsibilities include 1.) Design and implement reusable bioinformatics analysis pipelines for processing RNA-seq, single-cell
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Weill Cornell Medicine - Chandwani Laboratory | New York City, New York | United States | 2 months ago
engineered mice. In addition, the lab actively employs a variety of genome scale technologies including RNA-seq, ATAC-seq, and CUT&RUN/Tag. The lab has active research projects underway studying lineage
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. · Analyze large-scale datasets, including RNA-seq, ATAC-seq, ChIP-seq, and single-cell or single-nucleus sequencing data. · Present research findings at laboratory meetings, scientific conferences