About the Role
The role involves analyzing and curating scientific data with a focus on life sciences and pharmaceutical research to support structured content development.
Responsibilities
- Review and interpret scientific literature in biology and pharmaceutical fields
- Extract and structure data from research publications and patents
- Ensure accuracy and consistency in scientific content databases
- Collaborate with team members to maintain data quality standards
- Apply life science knowledge to classify and annotate technical information
- Support the development of proprietary scientific datasets
- Follow established protocols for content evaluation and entry
- Identify relevant data points from complex research documents
- Meet productivity and quality benchmarks for content processing
- Participate in training and knowledge-sharing sessions
- Stay current with developments in relevant scientific domains
- Use specialized software tools for data curation tasks
- Contribute to process improvements in content workflows
- Respond to internal queries regarding curated content
- Maintain confidentiality and integrity of scientific data
- Work cross-functionally with editorial and technical teams
- Adapt to evolving project requirements and priorities
- Follow data governance and compliance guidelines
- Support quality assurance checks on curated datasets
- Document work processes and data sources accurately
- Assist in onboarding new team members when needed
- Participate in performance reviews and feedback cycles
- Handle large volumes of technical information efficiently
- Contribute to consistency across multidisciplinary content sets
- Support timely delivery of content updates and enhancements
Compensation
Competitive salary and benefits package offered
Work Arrangement
Hybrid work model available
Team
Part of a global team focused on scientific data curation and analysis
About the CCDI Program
The Content Curation and Data Insights (CCDI) team specializes in transforming scientific research into structured, searchable knowledge assets used by researchers and institutions worldwide.
Work Environment
Fast-paced, collaborative setting with emphasis on data accuracy, team coordination, and continuous learning in scientific domains.
Visa sponsorship may be available for qualified candidates
