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Job Description
Structured overview of role & requirementsAbout This Role
Lead and manage a team of 5-10 scientific data analysts supporting life science solutions such as Reaxys and Embase.
Ensure quality, discoverability, and customer relevance of search and API experiences through expert input on data models, pipelines, and feature releases.
Provide data-driven insights and recommendations; represent expert customer perspectives in product development and uphold quality standards for search and API outputs.
Minimum Requirements
Master's or PhD in Bioinformatics, Cheminformatics, Chemistry, Biochemistry, or allied fields.
Strong data analysis and scripting skills with Python (Jupyter Notebook) and Bash.
Experience with AI/GenAI testing frameworks and working with relational databases (e.g., PostgreSQL).
Experience handling large datasets on cloud platforms (AWS, Azure) and coordinating cross-functional projects. Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in leading scientific subject matter experts in a data analytics or life sciences environment.
Proficient in integrating scientific domain expertise with advanced data analysis and AI-enabled technologies.
Comfortable managing complex data quality assurance processes and stakeholder communication across product teams.
