Senior Data Analyst

Reaxys is a subscription-based chemistry information platform developed by Elsevier. It enables structured search and retrieval of experimentally validated data on chemical substances, reactions, and properties from peer-reviewed literature and patents. The platform supports advanced structure-, reaction-, and property-based searches, including retrosynthetic analysis.

For over 30 years, Reaxys has been trusted and widely used in pharmaceutical, chemical, and academic research to accelerate data-driven R&D decisions.

About Our Team

We are a team of experienced Data Analysts supporting multiple Life Science solutions, including Reaxys. Our work operates at the intersection of scientific domain expertise, advanced data analysis, and the adoption of AI-enabled technologies.

We are self-driven and committed to continuous learning, actively exploring emerging capabilities including AI and GenAI-based frameworks to deliver measurable, data-driven customer impact. In close partnership with Product and Technology teams, we analyze data and translate it into actionable insights that strengthen our solutions and decision-making processes.

About the Role

You will contribute to initiatives that enhance chemistry intelligence and data-driven customer impact through quality evaluation of the Reaxys search engine. Your work will focus on enriching chemical and regulatory datasets to improve search relevance, accuracy, and analytical capabilities.

You will collaborate closely with Product Owners and Technology partners, working in an agile environment to deliver continuous improvements and measurable impact.

Responsibilities:

• Collaborate with team members to generate data-driven customer impact insights and translate complex analyses into actionable recommendations for stakeholders.
• Perform advanced analytical work using SQL and Python/Java (e.g., trend analysis, anomaly detection, segmentation) to uncover patterns and drive decision-making.
• Develop and maintain reusable analytics code (modules, notebooks, automation jobs such as Jenkins or GitHub Actions) with version control, quality testing, and documentation to ensure scalability and repeatability.
• Contribute to the continuous improvement of data analysis frameworks and methodologies, including GenAI-driven evaluation approaches
• Mentor and review peer work (SQL logic, analytical methodology, validation approaches) to elevate overall quality and consistency.

Requirements

• Academic background (Masters/PhD) in Biochemistry, Bioinformatics, Computational Biology /Chemistry or allied fields
• Experience using chemistry or scientific databases (e.g., Reaxys or similar platforms) as an end user is beneficial but not mandatory
• Hands-on experience working with databases (e.g., PostgreSQL or other relational/analytical database systems)
• Experience utilizing cloud platforms (e.g., AWS, Azure, or similar) for data processing, analytics workflows, and scalable data solutions
• Strong data analysis and scripting skills using Python and/or Java
• Demonstrated experience contributing to or validating AI/GenAI-based testing frameworks and analytical workflows
• Collaborative mindset with a proactive approach to knowledge sharing and cross-functional teamwork

Work in a way that works for you

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

• Work on a high-impact platform used by scientists and innovators worldwide
• Embrace the future of software engineering with AI development tools
• Collaborate with a diverse, global team.
• Flexible hybrid work environment

About the business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. What you do every day will help advance science and healthcare to advance human progress.