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-scale or cloud-based genomic analysis Willingness to learn new languages and tools as the field grows SUPERVISORY RESPONSIBILITIES: This position will involve co-mentoring of students and other
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Cloud based Client Relationship Management Systems, and Data Warehouse and Document and Content Management initiatives. You will also be responsible for the development, management and third line support
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, from user interfaces and APIs to databases, cloud infrastructure, and deployment pipelines. The ideal candidate will also thrive in an agile, collaborative environment and is comfortable taking ownership
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, from user interfaces and APIs to databases, cloud infrastructure, and deployment pipelines. The ideal candidate will also thrive in an agile, collaborative environment and is comfortable taking ownership
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direction of the Director of Research Computing and Data Services, and in close collaboration with LRS research enablement staff. You will partner with Harvard’s cloud vendors, the HKS research community, HKS
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managing requirements for AI and ML prototypes. You frequently use tools like Docker to manage software resources and pipeline orchestration. You may have experience building applications in cloud platforms
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campus network along with multiple data centres and a growing public cloud presence, serving thousands of staff & students. Your role will be focussed on defining, constructing and supporting the tools and
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analytics platforms (Google Analytics or Adobe Analytics); cloud-based CRM (Salesforce’s Salescloud and or Marketing cloud); data visualization tools (such as Tableau, Google Data Studio or Qlik); and market
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, including in containerized and scalable cloud environments. Addresses integration issues with other state and national partners. Locally develops software components and sub-components to achieve fully
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internal applications. The role combines strong hands-on engineering with architectural leadership across data models, APIs, cloud components, and enterprise integration patterns. This engineer will