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using R and/or Python. Experience with Large Datasets – Working with extensive genomic and clinical datasets, including UK Biobank (UKBB) and the All of Us Research Program, to support large-scale
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://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t37-b.pdf . The current base salary range for this position is $76,700-$89,000. 'Off-scale' salaries, which yield compensation
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method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during
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method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during
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-performance computing, including parallel or GPU programming (MPI, OpenMP, CUDA, Kokkos, etc.) Familiarity with modern software development practices, including debugging, profiling, and version control
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programs run as start-ups. OCP group (http://www.ocpgroup.ma/en/home ), a world leader in fertilizer production, is a major starter client for the University providing capital and research funds. In parallel
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are expected. Knowledge in parallel programming is desirable. Prior knowledge in differential-algebraic equations, Gaussian processes or kernel based methods is a plus; programming experience in Python or C/C
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& Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis
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skills and experience with numerical modeling and particle-based methods Interest in working closely with experimentalists Excellent written and spoken English skills Experience with parallel programming
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ways to improve. Build and manage CI and CD tools. Assist users with program compilation, commercial and public domain software installation, and use of Linux tools. Configure, administer, and