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 qualified ex

📌 Manager, Life Sciences Consulting (Hyderabad)
🏢 EPAM Systems
📍 Hyderabad