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files and GWAS summary-statistic files. Ability to work with large-scale genomic datasets in cloud-computing or high-performance computing environments, including efficient management and analysis
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cloud computing platforms, particularly Google Cloud Platform technologies such as BigQuery and Cloud Storage. Familiarity with AI/ML (Artificial Intelligence/Machine Learning), natural
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qualifications: Bachelor's degree in a relevant computational, biomedical, or engineering field. Experience with PyTorch, torchvision, scikit-learn, OpenCV, R, SQL, or cloud-based development tools. Demonstrated
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cloud-based and collaboration-based environments. Experience with Office 365 Teams and Groups preferred. Knowledge, Skills and Abilities Strong interpersonal skills and proven ability to build
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knowledge of Unix/Linux and cloud computing environments. - Strong interest in developing written and verbal communication skills for conveying analysis results to experts and non-experts. - Some experience