Senior Data Analyst (AI)

TL;DR

Senior Data Analyst (AI): Enhancing chemical intelligence and data-driven customer impact through evaluation of the Reaxys search engine with an accent on data quality, search relevance, and analytical methodologies. Focus on developing reusable analytics modules, leveraging GenAI-driven frameworks, and mentoring team members to ensure scalable and high-quality data insights.

Location: Hybrid role based in Frankfurt

Company

A global leader in information and analytics that empowers researchers and healthcare professionals to advance science and improve health outcomes.

What you will do

• Collaborate with product and technology teams to translate complex data into actionable recommendations.
• Perform advanced analytics using SQL and Python/Java to drive decision-making.
• Develop and maintain scalable analytics code with version control and automated testing.
• Contribute to the continuous improvement of analytical frameworks, including GenAI-driven approaches.
• Mentor peers on analytical methodology, SQL logic, and validation techniques.

Requirements

• Academic background (Masters/PhD) in Biochemistry, Bioinformatics, Computational Biology, Chemistry or allied fields.
• Hands-on experience with databases such as PostgreSQL.
• Strong data analysis and scripting skills using Python or Java.
• Experience with cloud platforms like AWS or Azure.
• Demonstrated experience validating AI/GenAI-based testing frameworks.
• Proactive, collaborative mindset for cross-functional teamwork.

Culture & Benefits

• Supportive environment promoting healthy work/life balance.
• Flexible hybrid work arrangement.
• Access to wellbeing initiatives, shared parental leave, and study assistance.
• Opportunity to work on a high-impact global platform used by scientists.
• Use of cutting-edge AI development tools.