Manager, Life Sciences Consulting

EPAM Systems; India; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

EPAM Systems is seeking a seasoned Data Science Leader with deep domain expertise in pharmaceutical clinical operations to drive strategic use 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 efficiency, quality, and outcomes in clinical operations.

Qualifications

• 15–20 years of experience in pharmaceutical clinical operations or closely related areas.
• Understanding end-to-end clinical trial lifecycle and operational pain points.
• Experience in regulated environments (GxP, FDA/EMA).
• Strong foundation in statistical modeling, ML, and advanced analytics.
• Ability to translate business problems into analytically tractable roadmaps.

Responsibilities

• Act as trusted thought partner to Clinical Operations, Study Management, Data Management, Biostatistics, Medical, and IT.
• Identify and prioritize high‑impact opportunities where data science can deliver value.
• Lead development and deployment of advanced analytics across the trial lifecycle.
• Influence senior leadership using data-driven insights.
• Define data strategies integrating trial, operational, real-world, and external data.

Skills

Leadership

Stakeholder management

Communication

Strategic thinking

Problem framing

Education

Advanced degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Life Sciences, 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.

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