Manager, Life Sciences Consulting

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.

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

We offer

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.)