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Job Description
Structured overview of role & requirementsAbout This Role
Lead and manage a team of 5-10 scientific data analysts focused on ensuring quality and discoverability of search and API experiences across Life Science platforms like Reaxys and Embase.
Oversee quality assurance, testing, feature releases, and escalate unexpected changes with expert insight to maintain high standards of search and API outputs.
Provide data-driven usage insights and represent expert customer perspectives throughout product development and delivery.
Minimum Requirements
Master’s or PhD degree in Bioinformatics, Cheminformatics, Chemistry, Biochemistry, or allied fields.
Strong data analysis and scripting skills using Python (Jupyter Notebook) and Bash.
Experience with databases such as PostgreSQL or similar relational/analytical database systems and working with large datasets on cloud platforms (e.g., AWS, Azure).
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in leading and coordinating teams of scientific data analysts in a Life Sciences environment with expertise in scientific domain and AI-enabled technologies.
Demonstrated ability to drive projects forward, coordinate stakeholders, document work, and present results effectively.
Skilled in validating or contributing to AI/GenAI-based testing frameworks and analytical workflows.