Lead Data Analyst – Scientific Discovery Platforms

About the role

You will lead a team of 5‑10 experienced Data Analysts supporting multiple life‑science solutions, including Reaxys and Embase. The role sits at the intersection of scientific domain expertise, advanced data analysis, and AI‑enabled technologies.

Key responsibilities

• Lead scientific subject‑matter experts evaluating search and API quality for Reaxys and Embase.
• Improve discoverability by influencing 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.

Required profile

• Master’s or PhD in Bioinformatics, Cheminformatics, Chemistry, Biochemistry or related field.
• Strong data analysis and scripting experience using Python (Jupyter Notebook) and Bash.
• Hands‑on experience with relational/analytical databases such as PostgreSQL.
• Experience working with large datasets on cloud platforms (AWS, Azure).
• Proven ability to drive projects, coordinate stakeholders and present results.

Required skills

• Python (Jupyter Notebook)
• Bash scripting
• PostgreSQL or similar relational databases
• Cloud platforms – AWS, Azure
• AI/GenAI testing frameworks

What we offer

• Comprehensive health insurance for employee and immediate family.
• Group life and accident insurance.
• Flexible working arrangements and remote options.
• Parental leave, adoption support and sabbatical programs.
• Subsidized meals, free transport (location‑specific) and various paid time off.
• Employee assistance program and medical screening.