**Your role:**
+ Lead advanced scientific data analysis across biocompatibility and toxicological domains, synthesizing complex datasets spanning material science, laboratory studies, and regulatory inputs. Apply rigorous statistical methods (e.g., regression, DOE, reliability analysis) to generate defensible insights that support biological safety and product evaluation decisions.
+ Design and operationalize scalable data infrastructure and analytical pipelines using SQL, Python, R, and related tools to ensure efficient data processing and reuse. Build automation workflows and maintain structured datasets that link materials, chemistry, biological endpoints, and reprocessing outcomes for consistent, end-to-end analysis.
+ Develop and deliver data visualization and reporting solutions that translate complex scientific findings into clear, actionable insights for cross-functional stakeholders. Create dashboards, semantic models, and self-service tools that enable engineers, tox...