Data Editor

This is a fully remote position, open to applicants in Canada.

📋 Description

• Curate, validate, and sustain high-quality scientific data and metadata for Wiley products.

• Evaluate scientific content within the framework of customer workflows, product requirements, and scientific best practices.

• Formulate editorial strategies and pinpoint content priorities that align with customer needs and business goals.

• Acquire and oversee scientific content from both internal and external sources.

• Collaborate with product, engineering, scientific, and commercial teams to facilitate product development and launches.

• Enhance editorial workflows, data quality, and content scalability through ongoing innovation.

⛳️ Requirements

• Bachelor's Degree in Chemistry, Analytical Chemistry, Spectroscopy, Materials Science, Chemical Information Science, Life Sciences, or a related scientific field.

• Foundational knowledge of spectroscopy and analytical chemistry gained through coursework, laboratory experience, research projects, or internships.

• Experience with scientific data, including analysis, validation, interpretation, or quality assessment.

• Familiarity with Python, R, MATLAB, or comparable tools for scientific data analysis.

• Knowledge of scientific data formats such as CSV, XML, JSON, JCAMP-DX, SDF, or similar structured data formats.

• Understanding of Agile or iterative project delivery methodologies.

• Strong attention to detail with the ability to detect inconsistencies, anomalies, and data quality concerns.

• Excellent written and verbal communication skills.

• Ability to thrive in a cross-functional international team setting.

• Experience with one or more analytical techniques, such as IR, Raman, NMR, UV-Vis, GC-MS, or LC-MS (preferred).

• Familiarity with Python data libraries like Pandas, NumPy, SciPy, or similar tools (preferred).

• Experience with Jira, Azure DevOps, GitHub, or other project and issue tracking systems (preferred).

• Experience handling 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.

• Opportunities for professional development.

• Comprehensive benefits package.

• Continuous learning and internal mobility.

• Employee programs that promote community, learning, and growth.

• Reasonable accommodation for applicants and employees with disabilities.