Lead Data Analyst ( Life Science)

Lead a team of scientific experts responsible for ensuring the quality, discoverability, and customer relevance of search and API experiences across Reaxys, Embase, and future AI-enabled life sciences solutions.

We are a diverse, collaborative team combining Life Sciences, Data, Product, and Technology expertise.

Our mission is to ensure scientific content is accurate, well organized, and trustworthy. We build AI-driven products people can rely on. We focus on data integrity, reliable insights, teamwork, and continuous learning across disciplines.

You will lead a team of 5-10 experienced Data Analysts supporting multiple Life Science solutions, including Reaxys and Embase. Our work operates at the intersection of scientific domain expertise, advanced data analysis, and the adoption of AI-enabled technologies.

• →Lead scientific subject matter experts (SMEs) evaluating Reaxys and Embase search and API quality.
• →Improve discoverability through expert input on 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 and delivery.
• →Set and champion the quality standards by which search and API outputs are judged, ensuring results meet the bar expert customers expect.

• Academic background (Masters/PhD) in Bioinformatics, Cheminformatic/Chemistry Biochemistry  or allied fields
• Strong data analysis and scripting skills using Python (Jupyter Notebook) and Bash
• Collaborative mindset with a proactive approach to knowledge sharing and cross-functional teamwork
• Demonstrated experience contributing to or validating AI/GenAI-based testing frameworks and analytical workflows
• Hands-on experience working with databases (e.g., PostgreSQL or other relational/analytical database systems)
• Experience working with large datasets on cloud platforms (e.g. AWS, Azure)
• Experience driving projects forward, coordinating stakeholders, documenting work, and presenting results.

We promote a healthy work-life balance across our organization. We offer various well-being initiatives, shared parental leave, study assistance, and sabbaticals to help you meet both your immediate responsibilities and long-term goals.

We understand that your well-being and happiness are essential to a successful career. Here are some benefits we offer:

• Comprehensive Health Insurance covers you and your immediate family.
• Enhanced Health Insurance Options with competitive rates.
• Group Life Insurance ensuring financial security for your loved ones.
• Group Accident Insurance offering extra protection.
• Flexible Working Arrangements to achieve a balanced work-life schedule.
• Employee Assistance Program providing support for personal and work-related challenges.
• Medical Screening prioritizing your well-being.
• Modern Family Benefits including parental and adoption support.
• Long-Service Awards recognizing dedication and commitment.
• Celebratory New Baby Gift.
• Subsidized Meals (location-specific).
• Various Paid Time Off options including Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays.
• Free Transport for home-office-home commutes (location-specific).

A global leader in information and analytics, we assist researchers and healthcare professionals in advancing science and improving health outcomes for society’s benefit. Leveraging our publishing heritage, we combine quality information and extensive data sets with analytics to support visionary science and research, health education, and interactive learning. At Elsevier, your work contributes to addressing the world’s grand challenges and fostering a sustainable future. We utilize innovative technologies to support science and healthcare, partnering for a better world.

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