MSc Chemistry Jobs at Reaxys | Senior Data Analyst Role
Looking for high-impact MSc Chemistry Jobs in data science and life sciences? Elsevier Careers is hiring a Senior Data Analyst for its Reaxys platform in Frankfurt. This opportunity is ideal for candidates interested in Chemistry Jobs, Chemical Science Careers, AI-driven analytics, Python, SQL, and scientific database systems. The role focuses on improving chemical intelligence, enhancing scientific search accuracy, and supporting GenAI-powered research workflows in global life science and pharmaceutical research environments.
About Reaxys
Reaxys is a world-leading provider of scientific, technical, and medical information solutions. Through platforms like Reaxys, Elsevier supports chemical, pharmaceutical, and academic research with structured scientific data and advanced analytics. Elsevier Careers offers opportunities to work on cutting-edge data science, AI-driven research systems, and global scientific intelligence platforms that help accelerate innovation in chemistry and life sciences.
Job Overview
Elsevier is hiring a Senior Data Analyst for its Reaxys chemistry intelligence platform in Frankfurt. The role focuses on analyzing chemical and scientific datasets, improving search engine performance, and enhancing data quality for chemical substances, reactions, and properties. Candidates will work with SQL, Python, cloud technologies, and AI/GenAI systems to deliver insights that improve chemical research workflows. This MSc
Chemistry Jobs opportunity is ideal for candidates passionate about scientific analytics, computational chemistry, and data-driven research innovation.- Job Post: Senior Data Analyst I
- Locations: Frankfurt
- Job requisition ID: R110114
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 (Master’s/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.
Reaxys Careers offers an excellent opportunity for candidates seeking Senior Data Analyst roles and MSc Chemistry Jobs in global scientific data platforms. This role provides exposure to AI-driven chemistry intelligence, advanced analytics, and life science research systems. Candidates passionate about chemistry, data science, and digital innovation can build a strong international career contributing to scientific discovery and healthcare advancement.
