Overview

We are seeking an accomplished Senior Manager – Life Science Consulting to lead the strategic application of data science, analytics and technology within pharmaceutical clinical operations. This role partners with cross-functional teams to identify and deliver high-impact solutions that enhance the efficiency, quality and outcomes of clinical development.

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 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

  • 16 to 20 years of overall experience with deep, hands-on expertise 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 including GxP and 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 and 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

India

Opportunity to work on technical challenges that may impact across geographies

Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications

Opportunity to share your ideas on international platforms

Sponsored Tech Talks & Hackathons

Unlimited access to LinkedIn learning solutions

Possibility to relocate to any EPAM office for short and long-term projects

Focused individual development

Benefit package:

  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits

Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

[epamgdo] India (About EPAM)

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.