Data Analyst - Analytical and Biological… at Regeneron · TARRYTOWN

Summary: Regeneron Pharmaceuticals is seeking a Data Analyst to join their Data Enablement and Analytics team within the Analytical & Biological Mass Spectrometry group. The role involves streamlining scientific and operational data workflows to support biotherapeutic drug development, enabling scientists to access and analyze data efficiently. Responsibilities: - Lead the end-to-end preparation of scientific and operational data, including data assembly, organization, archiving, and reporting, and develop automated data workflows to support analytical and operational needs - Partner with ABMS laboratory scientists and managers to identify data needs, digitize analytical workflows, and ensure data solutions support study assays across all stages of drug characterization - Establish and improve communication, integration, and automation of data flows between data producers and data consumers to enable efficient and reliable delivery of data-driven insights - Build and maintain data cataloging, reporting, and visualization capabilities to improve data governance, access, integration, curation, quality, and readiness for analytics consumption - Perform data quality checks, validation, and reconciliation to ensure accuracy and reliability of analytical outputs - Partner with DEA team members, IT Solution Partners, and external vendors to define data requirements, validate data pipeline outputs, and support the implementation of unified data platforms - Support adoption of new data tools, workflows, and platforms through documentation, training, and change management Required Qualifications: - Master's degree in Computer Science, Data Science, Data Engineering, Computer Engineering, Engineering, Information Systems, Bioinformatics, or related disciplines - 0–5 years of experience in data science or data analytics, preferably in the biopharmaceutical or life sciences industry - Proficiency in Python, R, and/or Java for data manipulation, statistical analysis, and workflow automation - Experience developing data visualization, dashboards, and interactive reports using R/Shiny, Posit Connect, Power BI, Spotfire, Tableau, or equivalent platforms - Proficiency in SQL and relational databases; experience querying and managing structured scientific data - Experience designing and maintaining automated data workflows to support data analysis, validation, and reporting - Strong written and verbal communication skills to translate complex data into clear, actionable insights for scientific and non-technical stakeholders Preferred Qualifications: - Experience with LC-MS data analysis and interpretation - Prior experience in the biopharmaceutical, biotech, or life sciences industry, particularly within an analytical laboratory environment - Familiarity with LC-MS software ecosystems (e.g., Skyline, LabKey Panorama, Protein Metrics Byosphere, Genedata Expressionist, or Waters UNIFI/Empower) - Familiarity with Laboratory Information Management Systems (LIMS), Scientific Data Management Systems (SDMS), and Electronic Lab Notebooks (ELN) platforms (e.g., Benchling, NuGenesis, and IDBS), including API integration, data extraction, and workflow configuration - Familiarity with building data connectors or API integrations for visualization platforms (e.g., Power BI, Spotfire, and Tableau) Required Skills: Python, R, SQL, Data Visualization Important Skills: Data Analysis, Automated Workflows, LC-MS Data Analysis Benefits: Health and wellness programs (including medical, dental, vision, life, and disability insurance), Fitness centers, 401(k) company match, Family support benefits, Equity awards, Annual bonuses, Paid time off, Paid leaves (e.g., military and parental leave)