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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries.
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The Lead Big Data Developer, working independently, will develop, test, debug and document software components commensurate with their experience as well as direct development staff in support of a software engineering effort.
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For this role we are looking for an outstanding bioinformatician to enable translational science via integration of large-scale omics, clinical data, real world evidence and literature data to deliver precision medicine within our pipeline.
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Our projects include some of the largest onshore and offshore, domestic and international civil infrastructure programs including wind and solar energy, pump storage energy facilities, combined sewer outfall tunnels, smart cities, defense facilities, dams, data centers, bridges and roadways.
$80,766 - $110,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcareorganizations nationally and abroad.
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While desired, this equivalent field experience need not rise to the level of subject matter expertise in nuclear weapon design/science/engineering (found in parts of the organizations listed above, such as A, B, or Z-Division at LLNL or X-Division at LANL.
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Experience with cloud based Big Data technologies like Hadoop, Hive, Spark, and Airflow. Extensive knowledge of industry leading software engineering approaches including Test Automation, Build Automation and Configuration Management frameworks.
$108,200 - $235,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Communicates and works with internal contacts including, but not limited to; all plant teams in the coordination and scheduling of plant repairs, equipment modifications or installations; purchasing and accounting personnel on requisitions and capital request data; and corporate engineering on special projects.
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NNSA Production Facilities employees whose work involves use of weapons science/engineering/simulation. KCNSC employees in nuclear security mission whose work includes use of weapon design/science/engineering information.
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The Endpoint Architect is a highly visible strategic position to serve as part of a team to deliver engineering support services to HHS. The team will provide a range of services from comprehensive infrastructure engineering to endpoint integration, ensuring effective data transmission, security compliance, and efficient system operations.
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Research and facilitate adoption of new and emerging tools for data science and 3D visualization that keep NIAID/OCICB on the leading edge of biovisualization technology to advance NIAID intramural research and support extramural program activities.
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Bachelor of Science degree in Engineering or Licensed Professional Engineer (2) (3) (1) Master's degree in Engineering reduces the OJT experience requirement by 1 year. Graduate degree (1) or Graduate level work in Engineering, Business Administration or Project Management Certification.
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An ideal candidate will have expertise in one or more of the following areas: law enforcement, reentry, human trafficking, jails and/or prisons, forensic science, and/or firearm violence. Conduct research and data analysis to support the Department of Justice and answer pressing criminal justice research questions.
$90,000 - $130,000 a year (equity)Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience of data analysis profiling, investigating, interpreting, and documenting data structures, Excellent teamworking, verbal, and written communication skills Experience with Docker and Kubernetes Familiarity with Computational Biology/ Bioinformatics conceptsDesirable Skills/Experience: Basic understanding of Machine Learning concepts and MLOps Experience in microservice architecture Experience with message queuing (RabbitMQ, SQS, etc.
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big data science engineering jobs Company: Capitalg Management Company Llc in Gaithersburg, MD
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