Clinical Data Science Lead – External Data (Clinical Research)
Location: Bangalore, India (Office or Home – Hybrid/Remote)
Employment Type: Full-Time
Company: ICON plc
Job Requisition ID: JR142371
Posted: 6 Days Ago
About ICON plc
ICON plc is a global leader in healthcare intelligence and clinical research, partnering with pharmaceutical, biotechnology, and medical device companies to accelerate the development of innovative therapies. With a strong global footprint and a people-first culture, ICON delivers excellence through scientific rigor, advanced analytics, and operational expertise across the clinical development lifecycle.
Role Overview
ICON is seeking a Clinical Data Science Lead (External Data) to join its growing data science and clinical analytics team in India. This leadership role is critical in driving data science strategy for external clinical data, enabling high-quality analytics, insights, and evidence generation to support clinical trial decision-making.
The successful candidate will lead complex data science initiatives, collaborate across functions, and mentor teams to ensure robust statistical analysis and innovative use of clinical data.
Key Responsibilities
Lead the design, development, and execution of data science strategies for external clinical trial data.
Oversee advanced statistical modeling, analytics, and data integration activities to support clinical development programs.
Collaborate with Clinical Operations, Biostatistics, Data Management, and Regulatory teams to define analytical requirements.
Drive innovation in data visualization, interpretation, and reporting to deliver actionable insights.
Mentor and guide data scientists and analysts, promoting best practices in clinical data analytics.
Communicate complex analytical findings to senior stakeholders through clear presentations and written reports.
Ensure compliance with clinical research standards, data governance policies, and regulatory expectations.
Education & Qualifications
Advanced degree (Master’s or PhD preferred) in Statistics, Data Science, Biostatistics, Life Sciences, or a related discipline.
Required Experience
7–10+ years of experience in clinical data science, biostatistics, or advanced analytics within clinical research, CRO, or pharmaceutical environments.
Proven experience leading data science or analytics projects involving external clinical data sources.
Strong hands-on expertise with statistical software, analytical tools, and data visualization platforms.
Demonstrated leadership experience with the ability to manage and mentor technical teams.
Strong problem-solving skills with the ability to translate complex data into strategic insights.
Key Skills & Competencies
Clinical trial data analysis and external data integration
Statistical modeling and advanced analytics
Data visualization and storytelling for clinical insights
Cross-functional collaboration and stakeholder management
Strong written and verbal communication skills
Strategic thinking and project leadership
Why Join ICON
Work with a world-class global CRO at the forefront of clinical innovation.
Exposure to complex, global clinical trials and cutting-edge data science initiatives.
Flexible work options supporting work-life balance.
Competitive compensation and comprehensive benefits, including health insurance, retirement planning, life assurance, and wellness programs.
Inclusive, diverse, and growth-oriented workplace culture.
Equal Opportunity Statement
ICON is committed to fostering an inclusive, accessible, and discrimination-free workplace. All qualified applicants will receive equal consideration regardless of race, religion, gender, disability, or any other legally protected status. Reasonable accommodations are available throughout the recruitment process.
Apply Now
If you are an experienced clinical data science professional passionate about leveraging external data to drive impactful clinical insights, ICON invites you to apply for the Clinical Data Science Lead – External Data role and be part of shaping the future of clinical development.
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