Data Editor

Jobgether; Canada; Remote; CAD 55,000 - 75,000; Full time

Benefits offered by this job

Fully remote in Canada

Comprehensive benefits package

Flexible work environment

Learning and professional development

Job summary

Jobgether is seeking a Data Editor based in Canada to curate and validate scientific datasets used across digital products. You will work at the intersection of science, data, and technology, ensuring accuracy and usability for researchers and customers.

You will collaborate with scientists, product managers, software engineers, and external contributors in an international environment. The role focuses on developing editorial plans and scalable data workflows with continuous innovation.

Qualifications

• Bachelor's degree in a scientific discipline.
• Foundational knowledge of spectroscopy and analytical chemistry.
• Experience with scientific data, including analysis and validation.

Responsibilities

• Curate, validate, and maintain high-quality scientific datasets and metadata.
• Evaluate scientific content for customer workflows and product requirements.
• Develop editorial plans and content priorities based on user needs and product goals.
• Acquire, organize, and manage scientific content from internal and external sources.
• Collaborate with scientists, product managers, software engineers, and contributors.
• Identify data quality issues and improve reliability of information.
• Support continuous improvement of editorial processes and data standards.

Skills

Python

R

MATLAB

Pandas

NumPy

SciPy

JSON

CSV

XML

JUnit Jira Azure DevOps GitHub

Agile

Communication

Education

Bachelor's degree in Chemistry/Analytical Science/Life Sciences or related field

Tools

Jira

Azure DevOps

GitHub

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Editor based in Canada.

In this role, you will work at the intersection of science, data, and technology, helping transform complex scientific information into reliable digital resources.

You will acquire, evaluate, curate, and validate scientific datasets used across databases, software platforms, APIs, and information products.

Your work will directly support the accuracy, completeness, and usability of scientific information relied upon by customers and researchers.

You will collaborate closely with scientists, product managers, software engineers, and external contributors in an international, cross-functional environment.

Beyond maintaining data quality, you will help shape editorial priorities and identify content opportunities aligned with customer needs and product objectives.

The role offers opportunities to improve data workflows, introduce scalable processes, and contribute to continuous innovation.

It is an excellent opportunity for a scientifically trained professional who enjoys combining analytical thinking, attention to detail, and technology.

Accountabilities:

• Curate, validate, and maintain high-quality scientific datasets and metadata for digital scientific products.
• Evaluate scientific content in the context of customer workflows, product requirements, and established scientific best practices.
• Develop editorial plans and establish content priorities based on customer needs and broader product and business objectives.
• Acquire, organize, and manage scientific content from internal and external sources.
• Collaborate with scientists, product managers, software engineers, commercial teams, and external contributors to support product development and releases.
• Identify inconsistencies, anomalies, and data quality issues and take appropriate action to improve the reliability of scientific information.
• Contribute to the continuous improvement of editorial processes, data quality standards, and scalable content management practices.
• Support the evolution of scientific information products by connecting data quality and editorial decisions with customer needs and workflows.

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 gained through academic coursework, laboratory work, research projects, internships, or equivalent experience.
• 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 structured scientific data formats such as CSV, XML, JSON, JCAMP-DX, SDF, or similar formats.
• Understanding of Agile or iterative project delivery practices and willingness to work within Agile product development teams.
• Excellent attention to detail and the ability to identify inconsistencies, anomalies, and data quality issues.
• Strong written and verbal communication skills.
• Ability to collaborate effectively with international, multidisciplinary, and cross-functional teams.
• Experience with analytical techniques such as IR, Raman, NMR, UV-Vis, GC-MS, or LC-MS is a plus.
• Experience using Python data libraries such as Pandas, NumPy, or SciPy is desirable.
• Familiarity with Jira, Azure DevOps, GitHub, or similar project and issue tracking tools is an advantage.
• Experience with scientific databases, reference data collections, laboratory information systems, or scientific software is a plus.
• Undergraduate research, co‑op, internship, or professional experience involving scientific data management or data‑intensive projects is desirable.

Benefits:

• Annual base salary range of CAD $55,100 to $75,233.33.
• Fully remote work arrangement in Canada.
• Comprehensive benefits package.
• Competitive and transparent compensation approach.
• Flexible environment designed to support focused work and professional development.
• Meeting-free Friday afternoons, providing additional time for focused work, learning, and development.
• Opportunities for continuous learning and internal mobility.
• Professional development and employee programs supporting community, collaboration, and career growth.
• Inclusive and diverse workplace with reasonable accommodations available throughout the recruitment and employment process.
• Opportunity to work on scientific data and technology initiatives with global impact.