Manager, Life Sciences Consulting

Job description

We are seeking a seasoned **Data Science Leader** with deep domain expertise in pharmaceutical clinical operations to drive the strategic application of data, analytics, and technology across the clinical development lifecycle. This role partners closely with cross-functional stakeholders to identify high-impact opportunities where data science, advanced analytics, and digital solutions can meaningfully improve the efficiency, quality, and outcomes of clinical operations. The ideal candidate brings a rare blend of hands-on clinical operations knowledge, advanced analytics expertise, and leadership capability, with a proven ability to translate complex data into actionable insights and scalable solutions. **Responsibilities** - Act as a trusted thought partner to the 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 real-world 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 (e.g., GxP, FDA, EMA) and data privacy requirements - Evaluate and guide the use of emerging technologies (AI/ML, automation, digital platforms) in clinical operations **Requirements** - 15-20 years of relevant professional experience, with hands-on background in pharmaceutical clinical operations (e.g., Clinical Operations, Study Management, Trial Oversight, or related functions) - Understanding of the end-to-end clinical trial lifecycle and operational pain points - Demonstrated experience working within regulated environments (GxP, 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 (e.g., Python, R, SQL) - Exceptional communication skills with the capability to explain complex analytical concepts to non-technical stakeholders - Proven track record of influencing senior leaders and driving organizational change through data