• Development and maintenance of automated database update workflows (scheduling, monitoring, alerts) to ensure timely, reproducible refreshes for our existing database.
• Support and improve existing database integration pipelines to ingest and harmonize preclinical and clinical datasets (genomics, pharmacology, toxicology, chemistry/assay results, etc.), including data cleaning, harmonization, verification, and annotation.
• Build and maintain reproducible analysis scripts and dashboards to support exploratory analysis and reporting.
• Document data models, pipelines, SOPs, and work instructions to enable hand-off and reuse.
• Collaborate closely with safety scientists, bioinformaticians, and data engineers to refine requirements and prioritize tasks.
• Follow data security, privacy, and compliance practices for handling sensitive research data.