Lead a team of scientific experts responsible for ensuring the quality, discoverability, and customer relevance of search and API experiences across Reaxys, Embase, and future AI-enabled life sciences solutions.
Responsibilities
- Lead scientific subject matter experts (SMEs) evaluating Reaxys and Embase search and API quality.
- Improve discoverability through expert input on data models and pipelines.
- Oversee customer-focused quality assurance, testing, and feature releases.
- Escalate unexpected search and API changes with expert insight.
- Provide usage insights and recommendations for data-driven platform improvements.
- Represent expert customer perspectives throughout product development and delivery.
- Set and champion the quality standards by which search and API outputs are judged, ensuring results meet the bar expert customers expect.
Requirements
- Academic background (Masters/PhD) in Bioinformatics, Cheminformatic/Chemistry Biochemistry or allied fields
- Solid data analysis and scripting skills using Python (Jupyter Notebook) and Bash
- Collaborative mindset with a proactive approach to knowledge sharing and cross-functional teamwork
- Demonstrated experience contributing to or validating AI/GenAI-based testing frameworks and analytical workflows
- Hands-on experience working with databases (e.g., PostgreSQL or other relational/analytical database systems)
- Experience working with large datasets on cloud platforms (e.g. AWS, Azure)
- Experience driving projects forward, coordinating stakeholders, documenting work, and presenting results.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Lead Data Analyst (Bengaluru)
🏢 Elsevier
📍 Bengaluru
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