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analyses. Develop reproducible bioinformatics pipelines and computational tools using Python and/or R. Work closely with Dr. Ren and experimental and computational collaborators to translate computational
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in machine learning, systems modeling, optimization, or analysis of complex biological and clinical data. Demonstrated proficiency in programming languages such as Python and/or R, with experience
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. Programming experience in Python, Matlab, and SQL. Mathematical modeling and data analysis. Machine/Deep learning (e.g. Pytorch, TensorFlow, JAX). City of Hope employees pay is based on the following criteria
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, population dynamics, or multicellular tissues. · Experience analyzing complex biological datasets using R, MATLAB, Python, or a comparable programming environment. · Experience integrating
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Proficiency in large-scale genomic data management and bioinformatic processing, including fluency with R/Bioconductor workflows and Python scientific stacks. Hands-on experience with deep learning frameworks
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skills Proven ability to process large-scale sequencing data end-to-end and build reproducible workflows on HPC and/or cloud (AWS/GCP/Azure). Proficiency with R/Bioconductor and Python, git, containers
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proficiency in multiple programming languages such as Python/R, with experience in computational analysis of omics datasets. Experience with AI/ML algorithms and prediction model development. Familiarity with
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and CHIP-seq. · Expertise in downstream analysis and biological interpretation of bioinformatic findings · Proficiency in R/Python programming, developing analysis pipelines and