Data Editor

Location: Remote, Ontario, CAN

Remote Type: Remote

Time Type: Full time

Job Description

Job Description:

We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what’s possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what’s next to power infinite possibilities for our customers, colleagues and society at large.

About the Role:

Wiley Science Solutions (WSS) is seeking a scientifically trained, detail-oriented professional to join our team as a Data Editor.

The successful candidate will acquire, evaluate, curate, and validate scientific datasets used in Wiley's databases, software platforms, APIs, and scientific information products. Working closely with scientists, product managers, software engineers, and external contributors, you will help ensure that scientific information is accurate, comprehensive, and aligned with the needs of customers and the workflows they support.

This role is ideal for someone who enjoys working at the intersection of science, data, and technology. In addition to maintaining high standards of scientific quality, Data Editors are expected to understand how customers use scientific information and contribute to editorial planning that supports product and business objectives.

Job Responsibilities:

• 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 that support 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.

Required Qualifications:

• 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 gained through academic projects, research, internships, or professional experience.
• 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 through academic, research, internship, or professional experience, and willingness to work within Agile product development teams.
• Strong attention to detail and ability to identify inconsistencies, anomalies, and data quality issues.
• Strong written and verbal communication skills and the ability to work effectively within a cross-functional international team environment.

Preferred Qualifications:

• Experience with one or more analytical techniques, including IR, Raman, NMR, UV-Vis, GC-MS, or LC-MS.
• Experience with Python data libraries such as Pandas, NumPy, SciPy, or similar tools for data analysis and manipulation.
• Experience with Jira, Azure DevOps, GitHub, or other project and issue tracking systems.
• Experience working with scientific databases, reference data collections, laboratory information systems, or scientific software.
• Undergraduate research, co-op, internship, or industry experience involving scientific data management or data-intensive projects.

We power infinite possibilities.

For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing—creating impact that reaches everywhere. 

 

We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. 

Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything. 

Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact tasupport@wiley.com for assistance.

We are proud that our workplace promotes continual learning and internal mobility. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow.

We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles in the United Kingdom, Canada, USA, Austria, Czechia, Denmark, France, Greece, Italy, Netherlands, Romania, or Spain. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies.

When applying, please attach your resume/CV to be considered.

Salary Range:

55,100.00 CAD to 75,233.33 CAD #LI-MS1