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AWS cloud and HPC environments, including large-scale model training, profiling, debugging, scaling, cost/performance tuning, reliability, CI/testing, packaging, deployment, reproducibility engineering
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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, United States of America [map ] Subject Areas: Computer Engineering / Cloud Computing , Cybersecurity , Software Biomedical Sciences / biochemistry , cancer , development , genetics , genomics , infectious disease , RNA
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Cloud—utilizing the platform to nurture leads, deliver program applications, and engage Executive Education alumni, past participants, and key clients. This role will focus on maintaining and enhancing
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Engineer who specializes in designing, developing, deploying, and maintaining scalable bioinformatics pipelines on cloud-based infrastructure. The candidate will be responsible for the code base supporting the
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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI
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negotiation, and technology lifecycle management. Systems, Infrastructure, and Security Provide executive oversight of HGSE’s systems and infrastructure, including cloud services, identity and access management
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and cloud environments for hundreds of laboratories worldwide. Our Capsule Software Execution Environment (“Capsules”) isolates every application with its exact dependencies, providing zero
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sharing and permissions, dynamic forms, Experience Cloud, and Apex enterprise architecture including asynchronous Apex, triggers, logging, and testing, are a must. The position will also have regular
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permissions, dynamic forms, Experience Cloud, and Apex enterprise architecture including asynchronous Apex, triggers, logging, and testing, are a must. The position will also have regular involvement with