Senior Data Analyst (AI)

TL;DR

Senior Data Analyst (AI): Enhancing chemistry intelligence and search relevance for the Reaxys platform with an accent on data-driven insights and AI-enabled evaluation frameworks. Focus on building scalable analytical modules, optimizing chemical datasets, and collaborating with product teams to drive R&D decision-making.

Location: Must be based in Frankfurt, Germany (Hybrid work environment).

Salary: €62,200 – €103,500 per year.

Company

A global leader in information and analytics, combining publishing heritage with vast data sets to advance science, research, and healthcare outcomes.

What you will do

• Collaborate with team members to generate data-driven customer impact insights and translate complex analyses into actionable recommendations.
• Perform advanced analytical work using SQL and Python/Java to uncover patterns and drive decision-making.
• Develop and maintain reusable analytics code, including modules and automation jobs, with version control and quality testing.
• Contribute to the continuous improvement of data analysis frameworks, including GenAI-driven evaluation approaches.
• Mentor and review peer work to elevate overall quality and consistency.

Requirements

• Academic background (Masters/PhD) in Biochemistry, Bioinformatics, Computational Biology, Chemistry, or allied fields.
• Hands-on experience working with relational or analytical databases like PostgreSQL.
• Strong data analysis and scripting skills using Python and/or Java.
• Experience utilizing cloud platforms (AWS, Azure, or similar) for data processing and scalable workflows.
• Demonstrated experience contributing to or validating AI/GenAI-based testing frameworks.
• Collaborative mindset with a proactive approach to cross-functional teamwork.

Nice to have

• Experience using chemistry or scientific databases as an end user.

Culture & Benefits

• Flexible hybrid work environment.
• Commitment to work/life balance with wellbeing initiatives.
• Support for long-term goals through study assistance and sabbaticals.
• Shared parental leave.
• Opportunity to work on a high-impact platform used by scientists worldwide.