Position Summary:We are seeking an experienced Senior Data Science Project Manager to lead strategic data and digital transformation initiatives supporting regulated bioanalytical workflows. This role will serve as the project lead for complex data science and integration efforts, partnering across scientific, informatics, IT, and operational teams to deliver scalable, compliant, and business-impacting data solutions.The successful candidate will be responsible for developing project frameworks, data integration strategies, and analytical solutions that support critical laboratory operations while ensuring compliance with FDA 21 CFR Part 11, GxP, GDPR, and corporate data governance requirements.Key Responsibilities:Project Leadership & StrategyLead complex data science initiatives from concept through implementation.Develop and manage project frameworks, roadmaps, timelines, and governance structures.Drive cross-functional collaboration among bioanalytical scientists, informatics teams, data engineers, and business stakeholders.Translate business requirements into technical data solutions that improve operational efficiency and scientific decision-making.Identify risks, dependencies, and mitigation strategies while managing project execution.Data Integration & AnalyticsLead planning and execution of instrument-to-LIMS integration initiatives.Develop strategies for integrating laboratory, operational, and business data sources.Support the design of scalable data models and integration architectures.Oversee development and validation of SQL queries and Python-based workflows for data extraction, transformation, and reporting.Ensure data quality, consistency, and traceability across analytical platforms.Business Intelligence & Operational ExcellenceSupport the evolution and maintenance of departmental Common Operating Picture capabilities.Collaborate with leadership to define KPIs, performance metrics, and reporting frameworks.Build dashboards and analytics that provide actionable operational insights.Enable data-driven decision making through visualization and performance measurement tools.Compliance & GovernanceEnsure solutions comply with FDA 21 CFR Part 11 requirements.Maintain adherence to GxP, GDPR, and internal quality standards.Support validation activities, audit readiness, and documentation requirements.Implement data governance and lifecycle management best practices.Partner with Quality and Compliance teams to ensure regulatory expectations are met.
