The Role
Develop and maintain Python scripts and automated workflows for NLM metadata management. Integrate Alma, OCLC, and other systems through APIs and batch exchanges; process, transform, validate, reconcile, and analyze bibliographic and authority metadata in formats including MARC, XML, JSON, and CSV. Implement logging, exception handling, reporting, and documentation while supporting workflow testing, systems integration, and automation improvements.
Summary Generated by Built In
Computercraft is seeking a Metadata Analyst to support the National Library of Medicine (NLM) at the National Institutes of Health in Bethesda, Maryland. NLM is the world’s largest biomedical and health research library and maintains a preeminent collection of biomedical literature and information resources. NLM’s Metadata Management Program supports the creation, management, enhancement, and distribution of metadata used to describe and provide access to NLM collections.
In this role, you will work full-time performing data analysis, programming, workflow automation, systems integration, and related technical activities supporting NLM’s Metadata Management Program.
This is a remote position.
Job Responsibilities
The anticipated salary range for this position is $80,000–$100,000 annually. The starting salary within this range will be based on relevant experience, qualifications, and skills.
In this role, you will work full-time performing data analysis, programming, workflow automation, systems integration, and related technical activities supporting NLM’s Metadata Management Program.
This is a remote position.
Job Responsibilities
- Developing, testing, documenting, and maintaining Python scripts and reusable automated processes to improve metadata management workflows, reduce manual repetition, and increase efficiency and consistency.
- Developing automated workflows that integrate with Ex Libris Alma, OCLC services, and other systems via application programming interfaces (APIs), batch processes, and file-based data exchanges.
- Retrieving, processing, transforming, comparing, and reconciling large amounts of bibliographic, authority, holdings, and related metadata across Alma, OCLC, and other data sources.
- Developing scripts and processes to manipulate structured and semi-structured data, including MARC/MARCXML, XML, JSON, CSV, and other formats used in NLM metadata workflows.
- Developing automated validation, logging, exception handling, and reporting processes, and analyzing system outputs and processing results to identify errors, anomalies, and opportunities for workflow improvement.
- Supporting the testing and implementation of new or modified automated workflows, including validating data changes and documenting APIs, data mappings, processing logic, dependencies, and technical procedures.
- Conducting technical analysis and prototyping to identify additional opportunities for automation and to recommend technical approaches to Metadata Management staff.
- 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 with maintaining documented, reusable code.
- Strong analytical, programming, troubleshooting, problem-solving, communication, and technical documentation skills.
- Ability to obtain Public Trust clearance.
- Familiarity with library bibliographic and authority metadata, including MARC 21 and MARCXML formats.
- Experience with Python libraries for data analysis, HTTP/API interaction, XML processing, or MARC processing.
- Experience with metadata matching, normalization, transformation, deduplication, or record reconciliation.
- Familiarity with library systems, metadata management systems, digital repositories, or other metadata-intensive environments.
The anticipated salary range for this position is $80,000–$100,000 annually. The starting salary within this range will be based on relevant experience, qualifications, and skills.
Skills Required
- Bachelor's degree in computer science or a related field
- Four years of experience developing data-processing and workflow-automation solutions with Python
- Experience using Python to retrieve, manipulate, transform, compare, validate, and analyze structured data
- Experience with REST APIs, including authentication, requests and responses, pagination, error handling, and JSON or XML processing
- Experience developing automated processes with logging, validation, exception handling, and reporting
- Experience processing XML, JSON, CSV, and other structured or semi-structured data formats
- 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
- Familiarity with library bibliographic and authority metadata, including MARC 21 and MARCXML
- Experience with Python libraries for data analysis, HTTP/API interaction, XML processing, or MARC processing
- Experience with metadata matching, normalization, transformation, deduplication, or record reconciliation
- Familiarity with library systems, metadata management systems, digital repositories, or other metadata-intensive environments
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The Company
What We Do
Computercraft, an American Indian– and Woman-owned small business, provides the public with user-friendly access to reliable and current genetic sequence, genomic, chemical, and scientific information. Our technical and scientific staff work with customers to build and refine high-profile information resources that get accurate health and biomedical research data into the hands of researchers and other stakeholders all over the globe, helping them solve our world’s greatest health challenges. In some of our other work, we provide program management support and health communication and outreach that directly and indirectly facilitate and sustain our nation's public health efforts
