Manager, Life Sciences Consulting

V2 Solutions; Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

EPAM Systems in Hyderabad seeks a seasoned Data Science Leader to drive strategic application of data and analytics across the clinical development lifecycle. You will partner with Clinical Operations, Study Management, Data Management and IT to identify high-impact opportunities and deliver scalable AI-enabled solutions.

The ideal candidate has deep domain experience in pharmaceutical clinical operations, advanced analytics expertise, and a proven ability to translate complex data into

Qualifications

• 15-20 years of relevant professional experience in pharmaceutical clinical operations
• Experience across the end-to-end clinical trial lifecycle
• Experience in regulated environments (GxP, clinical compliance)
• Strong foundation in analytics and leadership capabilities
• Ability to translate complex data into actionable insights and scalable solutions

Responsibilities

• Act as a trusted thought partner to Clinical Operations and related stakeholders
• Identify, frame, and prioritize business problems where data science can deliver value
• Translate challenges into analytically tractable problems and roadmaps
• Influence senior leadership using data-driven insights
• Lead development and deployment of advanced analytics across the clinical trial lifecycle
• Apply predictive modeling, machine learning, optimization, and statistics to real-world operations problems
• Drive adoption of data-driven and AI-enabled approaches within teams
• Define data strategies integrating clinical, operational, real-world, and external data
• Partner with data engineering to ensure scalable data infrastructure
• Ensure analytics align with regulatory expectations (GxP, FDA/EMA) and privacy requirements
• Evaluate emerging technologies in clinical operations

Skills

Python

R

SQL

Machine Learning

Statistical Modeling

Data Visualization

Regulatory Knowledge

Education

Advanced degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Life Sciences, or related field

Job description

# Manager, Life Sciences ConsultingEPAM SystemsPosted on August 19, 2026---Experience12 - 13 yrsJob LocationHyderabad, IndiaVacancy1DesignationData Science ManagerJob TypeONSITE---## Job DescriptionWe 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.**Read full description**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 operationsRequirements* 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