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you bring: PhD in Computational Biology (or statistics with biological applications) Cloud computing experience. Proficiency running bioinformatics pipelines in R, Matlab, and/or Python. Proficiency in
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high performance compute environments (cloud-based and slurm/lsf clusters) and model deployment platforms (e.g., Kubernetes, AWS SageMaker, Google Vertex AI, HF Inference). Experience with distributed
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tools. Experience with high performance compute environments (cloud-based and slurm/lsf clusters). Clear, proactive, and efficient communication style to manage multiple needs and stakeholders involved in
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of cybersecurity frameworks (NIST, CIS Controls) and risk management methodologies Experience with SOC operations, IAM platforms, cloud security, and endpoint protection technologies Strong understanding of identity
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experience. 3+ years of experience training and evaluating deep learning architectures such as Transformers or U-Nets, particularly on image or point cloud data. Strong programming skills in Python, PyTorch
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organizational structure. Experience with integrated ERP platforms (Workday preferred) and cloud-based SaaS solutions across HR, Financials, Procurement, and Travel & Expense. Strong understanding of data