Overview
Skills
Job Details
Seeking an experienced Information Architect to support North America's Scientific Data initiatives. The role involves working on data acquisition, modeling, governance, and quality for scientific and R&D datasets.
Key Responsibilities:
Design logical and physical data models, ER diagrams, data dictionaries
Perform data profiling, cleansing, auditing, and define data quality metrics
Manage master and reference data (MDM), hierarchies, affiliations
Collaborate with business and data quality teams to ensure clean, usable data
Conduct exploratory data analysis (EDA) to uncover patterns and trends
Support DevOps and Agile teams with data-centric architecture
Handle scientific and lab-based data
Required Skills:
Strong in data modeling, data governance, and quality control
Proficient in BI tools (Power BI, Tableau), ETL, and data manipulation
Coding in Python, VBA, XML
Experience in scientific data environments (Pharma, Biotech, R&D)
Strong communication, critical thinking, and collaboration skills
Nice to Have:
Experience with metadata management, taxonomy, and DevOps practices
Leadership or coordination experience in data projects