Strengthen the data foundation for R&D products by evaluating new data sources and collaborating with engineering teams to enhance data accuracy.
About the role
We’re looking for a Content Analyst to strengthen our data foundation for R&D and market-facing products. You’ll evaluate and onboard new data sources, define parsing and validation rules, and work closely with engineering and quality teams to raise the bar on data accuracy and usability.
What you’ll do
Analyse data-source content in depth; assess new data providers; define parsing and validation rules; draft clear data requirement specifications.
Partner with Data Engineering and Data Quality teams to ingest, process and verify data outputs.
Build and maintain a data quality assessment framework; use customer feedback, data analysis and rule design to drive continuous improvements.
Coordinate cross-functional stakeholders to deliver data projects, track progress and remove blockers.
About you
Master’s degree (or higher) in Organic Chemistry, Chemistry or a related discipline.
2+ years’ experience in the patent domain and/or nucleic-acid therapeutics (e.g., oligonucleotides) is preferred.
Familiarity with databases such as SciFinder, Cortellis and STN is an advantage.
Understanding of text data structures; prior database/information management experience is a plus.
Clear, structured thinker with strong learning agility; able to grasp business context and goals quickly. Excellent communication and delivery discipline.
PatSnap offers IP and R&D analytics through our intelligence platform, giving businesses the patent data they need to make better decisions and innovate faster.
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