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The Position The Translational Medicine (TM) department at Genentech is seeking a highly motivated Postdoctoral Fellow (Bioinformatics) to lead analysis of complex biological datasets related
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techniques like cellular phenotyping, single-cell molecular profiling, and inflammatory signaling analysis to unravel immune cell dysfunctions. Our goal is to advance the understanding of immune disorders
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version control. Proficiency in genomics data analysis, preferably including two or more of the following: Epigenetic data (methylation, 5hmc, etc) Chromatin accessibility data (ATAC-seq, fragmentomics, etc
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transcriptomics and screening experiments. Analysis of perturbation and spatial-omics datasets Build predictive models delivering novel scientific insights. Who You Are: Ph.D.in Biology, Bioengineering, Molecular
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screens through analysis of imaging (e.g CellPainting) and spatial-omics data Leverage data to build predictive models of cellular response which can be validated experimentally Who You Are: Ph.D. in
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. Experienced with human genetics analyses and interpretation (ex. GWAS, rare variant burden tests, eQTL, fine mapping, LD-score regression, etc). Experienced with single-cell omics data analysis (ex. single-cell
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architectures, and interpretable AI methods and libraries, concept-bottleneck architectures, attribution packages: shap, captum, etc. Experience with bulk and/or single-cell omics data analysis (e.g. bulk
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candidate will focus on developing approaches that underpin the analysis of new datasets, especially in the context of spatial genomics. The applicant will work closely with laboratory colleagues in
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statistical genetics Proven experience with applying standard pipelines for the analysis of large-scale genetic data sets Demonstrated proficiency with R or Python Demonstrated ability to effectively