Carry out preparation, clean-up, and quality control of biological data, including scRNA-Seq, scATAC-Seq, Spatial transcriptomics and/or other multi-dimensional omic data modalities; Develop and maintain pipelines for bioinformatics and statistical analyses of aforementioned data types; activities to include handling raw data, evaluating outputs, optimizing parameters and summarizing findings; Collaborate with interdisciplinary teams to design experiments and analyze data from various single cell platforms; Maintain knowledge of latest bioinformatic approaches and variety sequencing technologies, especially in single-cell context; Present results at multidisciplinary project meetings; Produce output for scientific publications and co-author said publications
Requirements:
Deep knowledge of bioinformatics tools and their implementation as part of pipelines, particularly for scRNA-Seq, scATAC-Seq, Spatial transcriptomics and/or other multi-dimensional omic data modalities; Demonstrated experience and understanding of genomic technologies and analysis of data generated; Analyzing and interpreting outputs to identify insights and hypotheses from data; Understanding of essential statistical methodologies required for bioinformatics analyses
Text:
Associate Data Scientist Bioinformatics Carry out preparation, clean-up, and quality control of biological data, including scRNA-Seq, scATAC-Seq, Spatial transcriptomics and/or other multi-dimensional omic data modalities; Develop and maintain pipelines for bioinformatics and statistical analyses of aforementioned data types; activities to include handling raw data, evaluating outputs, optimizing parameters and summarizing findings; Collaborate with interdisciplinary teams to design experiments and analyze data from various single cell platforms; Maintain knowledge of latest bioinformatic approaches and variety sequencing technologies, especially in single-cell context; Present results at multidisciplinary project meetings; Produce output for scientific publications and co-author said publications Deep knowledge of bioinformatics tools and their implementation as part of pipelines, particularly for scRNA-Seq, scATAC-Seq, Spatial transcriptomics and/or other multi-dimensional omic data modalities; Demonstrated experience and understanding of genomic technologies and analysis of data generated; Analyzing and interpreting outputs to identify insights and hypotheses from data; Understanding of essential statistical methodologies required for bioinformatics analyses
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