Metadata Analyst

🔥 1 minute ago

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $80k - $100k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Analyst

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Computercraft Corporation

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Computercraft Corporation is an American Indian– and Woman-owned small business that provides technical, scientific, and management support services aimed at advancing biomedical research and human health. The company specializes in building and refining high-profile information resources to deliver accurate health and biomedical research data to researchers and stakeholders globally, thereby tackling significant health challenges. Additionally, Computercraft offers program management office support to sustain public health efforts. The company is dedicated to open access, managing large genetic sequence databases, and facilitating the sharing of full-text journal articles. Employing Agile methodology, Computercraft develops health IT resources, such as databases and software, to standardize data collection and promote human health. With a commitment to health communication and outreach, they provide educational materials and services to policymakers, medical providers, scientists, and the public. Notably, Computercraft serves key clients like the National Institutes of Health, National Library of Medicine, and several other renowned institutions.

📋 Description

• Support the National Library of Medicine at the National Institutes of Health • Perform data analysis, programming, workflow automation, systems integration, and related technical activities supporting NLM’s Metadata Management Program • Develop, test, document, and maintain Python scripts and reusable automated processes for metadata management workflows • Integrate automated workflows with Ex Libris Alma, OCLC services, and other systems via APIs, batch processes, and file-based data exchanges • Retrieve, process, transform, compare, and reconcile bibliographic, authority, holdings, and related metadata across multiple data sources • Manipulate structured and semi-structured data, including MARC/MARCXML, XML, JSON, and CSV • Develop automated validation, logging, exception handling, and reporting processes • Analyze system outputs and processing results to identify errors, anomalies, and workflow improvements • Support testing and implementation of new or modified automated workflows • Validate data changes and document APIs, data mappings, processing logic, dependencies, and technical procedures • Conduct technical analysis and prototyping to identify automation opportunities and recommend technical approaches to Metadata Management staff

🎯 Requirements

• Bachelor's degree in computer science or a related field • Four (4) years of experience developing data-processing and workflow-automation solutions with Python • Experience with Python for retrieving, manipulating, transforming, comparing, validating, and analyzing structured data • Experience with REST APIs, including authentication, requests and responses, pagination, error handling, and processing JSON and/or XML • Experience developing reliable automated processes with logging, validation, exception handling, and reporting • Experience processing structured and semi-structured data formats such as XML, JSON, and CSV • Experience analyzing and reconciling large or complex datasets from multiple sources • Experience with version control, preferably Git, and maintaining documented, reusable code • Strong analytical, programming, troubleshooting, problem-solving, communication, and technical documentation skills • Ability to obtain Public Trust clearance • Desired: Familiarity with library bibliographic and authority metadata, including MARC 21 and MARCXML formats • Desired: Experience with Python libraries for data analysis, HTTP/API interaction, XML processing, or MARC processing • Desired: Experience with metadata matching, normalization, transformation, deduplication, or record reconciliation • Desired: Familiarity with library systems, metadata management systems, digital repositories, or other metadata-intensive environments

🏖️ Benefits

• Medical insurance with employer-paid deductibles • Dental and vision insurance • Federal holidays and paid time off • 401(k) with 3% company match • Life and disability insurance • Flexible spending accounts • Opportunities for professional development • Employee referral bonuses • 40-hour work week • Flexible work schedules and telework options • Paid leave starting at 128 hours/year for the first 3 years of employment • 11 paid holidays • Positive work–life balance • Opportunity to work alongside a team of highly accomplished professionals

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