Manager, Life Sciences Consulting

EPAM Systems; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

EPAM Systems in Hyderabad seeks a seasoned Data Science Leader with deep domain expertise in pharmaceutical clinical operations. This role partners closely with cross-functional stakeholders to translate complex data into actionable insights and scalable solutions across the clinical development lifecycle. The ideal candidate blends hands-on ops knowledge with leadership, analytics excellence, and the ability to drive data-driven decisions at senior levels.

Qualifications

• 15-20 years of hands-on pharmaceutical clinical operations experience.
• Proven ability to translate clinical operations challenges into analytics solutions.
• Experience in regulated environments (GxP, FDA, EMA) and data privacy considerations.
• Strong communication skills for senior leadership audiences.

Responsibilities

• Act as a trusted partner to Clinical Operations, Study Management, Data Management, Biostatistics, Medical, and IT stakeholders.
• Identify and prioritize business problems where data science can deliver measurable value.
• Lead development and deployment of advanced analytics across the clinical trial lifecycle.
• Apply machine learning, optimization, and statistical techniques to real-world clinical operations problems.
• Drive adoption of data-driven and AI-enabled approaches within clinical teams.

Skills

Clinical operations leadership

Advanced analytics

Statistical modeling

Python

R

SQL

Stakeholder communication

Regulatory compliance knowledge

Education

Advanced degree in Data Science or related field

Tools

Python

R

SQL

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