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Field
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at the forefront of research leadership, guiding the overall research strategy and overseeing the execution of multiple high-impact projects. This emerging leader role demands exceptional expertise and visionary
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healthcare organizations. Cedars-Sinai netted high scores across multiple verticals and particularly excelled in areas of infrastructure, interoperability, and population health innovation. What will you be
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. Responsibilities : Data Analysis, Reporting & Management Consolidate and process large datasets from multiple sources (e.g. internships, student placements, events and career programmes), ensuring data integrity and
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and Python Good verbal and written communication skills in English. Ability to multi-task and work cooperatively with others. Must be able to work on multiple projects simultaneously and meet deadlines
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maintaining network infrastructure, servers, and security protocols. Strong scripting and automation skills (e.g., Bash, Python), including experience with deployment tools, operating system automation, and
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paper cutters (Cricut Maker), K-12 robotics kits (LEGO, VEX, littleBits), basic block coding (Scratch, MakeCode), Python, Arduino, micro:bit, Makey-Makey, engineering design projects, etc. Experience
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deployment, backup, and integration scripts. Essential Functions Works on multiple projects to research, propose and implement strategies in the automation, migration and consolidation of complex distributed
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Responsibilities includes: Report Development and Analysis: Assist in collecting and documenting report requirements. Retrieve, transform, and prepare data for reporting using SQL, Python, Power BI, and other tools
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collaboration with the study team, and develop new statistical frameworks for evaluating multiple correlates of protection in vaccine trials and real-world evidence studies. Other duties include contributing
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for ML / LLM algorithms working over free-text clinical data and potentially mixed modalities (waveform, DICOM images etc.) Data manipulation and analysis capability, e.g. machine/deep learning in R/Python