This job is with Elsevier, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly. Team Lead, Scientific Discovery Platforms 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. About our team:- We are a diverse, collaborative team combining Life Sciences, Data, Product, and Technology expertise. Our mission is to ensure scientific content is accurate, well organized, and trustworthy. We build AI-driven products people can rely on. We focus on data integrity, reliable insights, teamwork, and continuous learning across disciplines. About the Role:- You will lead a team of 5-10 experienced Data Analysts supporting multiple Life Science solutions, including Reaxys and Embase. Our work operates at the intersection of scientific domain expertise, advanced data analysis, and the adoption of AI-enabled technologies.



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 Robust data analysis and scripting skills using Python (Jupyter Notebook) and Bash Collaborative mindset with a proactive approach to knowledge sharing and cross

📌 0926-Lead Data Analyst (India)
🏢 Elsevier
📍 India