Manager – Life Science Consulting

Office in Hyderabad

Business Consulting

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We are seeking an experienced Data Science Leader to drive the strategic application of data, analytics and technology across the clinical development lifecycle in pharmaceutical clinical operations.

This role partners with cross-functional stakeholders to identify high-impact opportunities where data science, advanced analytics and digital solutions can improve the efficiency, quality and outcomes of clinical operations.

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 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 and data privacy requirements
Evaluate and guide the use of emerging technologies in clinical operations

Requirements

14 to 16 years of overall working experience
Deep, hands-on experience 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 such as GxP or 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 or 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