Steward a secure and scalable cloud platform that enables clinical omics collaboration and is tailored to internal and external project needs; Develop, orchestrate, and maintain primary, secondary, and tertiary NGS analytical pipelines; Ingest and integrate large scale omics (genomics, proteomics, etc.) and phenotypic data and surface the data to scientists within DOCTA; Engage and collaborate with other scientists to develop and maintain workflows needed to process and analyze multi-modal data; Function independently within dynamic team-oriented environments and within cross-functional project teams as part of a multi-dimensional role
Requirements:
Bachelors Degree in bioinformatics, computational biology, data science, data engineering, or other applied science with 5+ years of relevant work experience; Experience implementing and deploying bioinformatics pipelines using software and data architectural standard processes in a distributed/cloud environment; Proven experience with AI/ML model development and/or bioinformatic applications through publication in a peer reviewed journal
Text:
Bioinformatics Engineer Steward a secure and scalable cloud platform that enables clinical omics collaboration and is tailored to internal and external project needs; Develop, orchestrate, and maintain primary, secondary, and tertiary NGS analytical pipelines; Ingest and integrate large scale omics (genomics, proteomics, etc.) and phenotypic data and surface the data to scientists within DOCTA; Engage and collaborate with other scientists to develop and maintain workflows needed to process and analyze multi-modal data; Function independently within dynamic team-oriented environments and within cross-functional project teams as part of a multi-dimensional role Bachelors Degree in bioinformatics, computational biology, data science, data engineering, or other applied science with 5+ years of relevant work experience; Experience implementing and deploying bioinformatics pipelines using software and data architectural standard processes in a distributed/cloud environment; Proven experience with AI/ML model development and/or bioinformatic applications through publication in a peer reviewed journal
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