Data Editor

🔥 17 hours ago

🇨🇦 Canada – Remote

đź’µ $55.1k - $75.2k / year

⏰ Full Time

🟡 Mid-level

đźź  Senior

✏️ Editor

đź‘» Ghost score 0%

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Wiley

5001 - 10000 employees

📚 Education

🔬 Science

Education • Science

Wiley is a global publishing and information services company that connects researchers, educators, students, and professionals through scholarly journals, books, digital content, and learning platforms. It operates Wiley Online Library with thousands of journals, reference works, and books, provides textbooks and courseware (including rental and digital access), and offers publishing, research support, and AI-enabled tools and services for academic institutions, R&D teams, societies, and corporations. Wiley advances research discovery and professional learning by combining trusted content with technology platforms, licensing, and development services.

đź“‹ Description

• Curate, validate, and maintain high-quality scientific data and metadata for Wiley products • Assess scientific content in the context of customer workflows, product requirements, and scientific best practices • Develop editorial plans and identify content priorities supporting customer needs and business objectives • Acquire and manage scientific content from internal and external sources • Collaborate across product, engineering, scientific, and commercial teams to support product development and releases • Improve editorial processes, data quality, and content scalability through continuous innovation

🎯 Requirements

• Bachelor's Degree in Chemistry, Analytical Chemistry, Spectroscopy, Materials Science, Chemical Information Science, Life Sciences, or a related scientific discipline • Foundational knowledge of spectroscopy and analytical chemistry acquired through coursework, laboratory work, research projects, or internships • Experience working with scientific data, including data analysis, validation, interpretation, or quality assessment • Familiarity with Python, R, MATLAB, or similar tools for scientific data analysis • Familiarity with scientific data formats such as CSV, XML, JSON, JCAMP-DX, SDF, or similar structured data formats • Understanding of Agile or iterative project delivery practices • Strong attention to detail and ability to identify inconsistencies, anomalies, and data quality issues • Strong written and verbal communication skills • Ability to work effectively within a cross-functional international team environment • Experience with one or more analytical techniques, including IR, Raman, NMR, UV-Vis, GC-MS, or LC-MS (preferred) • Experience with Python data libraries such as Pandas, NumPy, SciPy, or similar tools (preferred) • Experience with Jira, Azure DevOps, GitHub, or other project and issue tracking systems (preferred) • Experience working with scientific databases, reference data collections, laboratory information systems, or scientific software (preferred) • Undergraduate research, co-op, internship, or industry experience involving scientific data management or data-intensive projects (preferred) • Resume/CV must be attached when applying

🏖️ Benefits

• Meeting-free Friday afternoons • Professional development opportunities • Comprehensive benefits package • Continual learning and internal mobility • Employee programs fostering community, learning, and growth • Reasonable accommodation for applicants and employees with disabilities

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