The Division of Computational Pathology is hiring for an entry-level Data Engineer position. Daily duties of the successful candidate will be focused on data management, using the current Bash/Python-based infrastructure for acquisition, de-identification, QC, organization, curation, and preprocessing pipelines for all data types. Additional contributions will target the optimization of this infrastructure that could result in relevant scientific publications. Department Specific Responsibilities Physically handle and scan glass tissue slides using a whole slide scanner, requiring attention to detail in a lab environment. Transfers high-throughput large files between servers, utilize GUI tools to identify and tag images, and manage large datasets with a focus on accuracy and organization. Demonstrates familiarity with healthcare data standards, ensuring compliance and care in handling sensitive information. Develops and maintains scripts using Bash/Linux and Python to process data in SQL, JSON, and CSV formats, ensuring data handling and transformation. Identifies and implements improvements in slow, repetitive tasks to enhance efficiency after gaining familiarity with processes. Applies strong knowledge of basic file commands (e.g., copy, move, delete) in Linux environments, prioritizing data-oriented solutions. Opportunity to join additional research projects upon task completion; desk-based role with occasional lab work. General Responsibilities Performs data management tasks, including data modeling, conversion, de-duplication, migration, and identification and repair of data quality issues. Designs, develops, and implements custom data systems and reconciliation tools, processes, rules, solutions etc. to validate data, match/merge, and upload batch lists. Creates and tunes stored procedures and queries for data management and extraction. Assists in designing and building out technical software mechanisms to accommodate multiple integrations accurately based on complex rules and custom solutions. Adheres to established documentation standards and maintains security by ensuring that security standards and protocols are recognized and followed. Troubleshoots, analyzes problems, and finds resolutions for data related issues; performs scripting and modifications of application and products for corrective action. Stays up-to-date with data engineering best practices and approaches; stays abreast of latest security threats and risks to proactively address potential exposures. Qualifications Combinations of related education and experience may be considered. Education beyond the minimum required may be substituted for work experience. Work experience beyond the minimum required may be substituted for education.
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