About this role
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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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