Senior Manager – Life Science Consulting
We are seeking an accomplished Senior Manager – Life Science Consulting to lead the strategic application of data science, analytics and technology within pharmaceutical clinical operations. This role partners with cross-functional teams to identify and deliver high-impact solutions that enhance the efficiency, quality and outcomes of clinical development.
Responsibilities
- Act as a trusted thought partner to Clinical Operations, Study Management, Data Management, Biostatistics, Medical and IT stakeholders
- Identify, frame and prioritize business problems where data science and technology can deliver measurable value
- Translate clinical operations challenges into analytically tractable problems and solution roadmaps
- Influence decision-making at senior leadership levels using data-driven insights
- Lead development and deployment of advanced analytics solutions across the clinical trial lifecycle
- Apply predictive modeling, machine learning, optimization and statistical techniques to clinical operations problems
- Drive adoption of data-driven and AI-enabled approaches within clinical operations teams
- Define data strategies that integrate clinical trial data, operational data, real-world data and external datasets
- Partner with data engineering and platform teams to ensure scalable, compliant and fit-for-purpose data infrastructure
- Ensure analytics solutions align with regulatory expectations and data privacy requirements
- Evaluate and guide the use of emerging technologies in clinical operations
Requirements
- 16 to 20 years of overall experience with deep, hands-on expertise in pharmaceutical clinical operations such as Clinical Operations, Study Management or Trial Oversight
- Strong understanding of the end-to-end clinical trial lifecycle and operational pain points
- Demonstrated experience working within regulated environments including GxP and clinical compliance
- Advanced degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Life Sciences or related field
- Strong foundation in statistical modeling, machine learning and advanced analytics
- Familiarity with common data science tools and programming languages such as Python, R and SQL
- Exceptional communication skills with the ability to explain complex analytical concepts to non-technical stakeholders
- Track record of influencing senior leaders and driving organizational change through data
