Job Title: Clinical Data Science Programmer
Location: Bangalore, Chennai, Trivandrum, India (Office-Based)
Job Type: Full-Time
Company: ICON plc
About ICON
ICON is a global healthcare intelligence and clinical research organization dedicated to accelerating the development of innovative medicines and treatments that improve patient outcomes worldwide. Driven by integrity, collaboration, agility, and inclusion, ICON partners with pharmaceutical, biotechnology, and medical device companies to deliver high-quality clinical research solutions.
Position Overview
ICON is seeking a Clinical Data Science Programmer to join its Clinical Data Sciences team. In this role, you will be responsible for developing, validating, and maintaining programming solutions that support clinical trial data analysis and reporting. You will collaborate closely with statisticians, data scientists, and cross-functional teams to ensure data quality, regulatory compliance, and efficient data processing throughout the clinical research lifecycle.
Key Responsibilities
Develop, validate, and maintain statistical programming code for clinical trial data analysis and reporting.
Create and manage analysis datasets, listings, tables, and figures (TLFs) to support study deliverables.
Collaborate with statisticians, clinical data scientists, and study teams to understand data requirements and analytical objectives.
Ensure programming activities comply with industry standards, company SOPs, and regulatory guidelines.
Review and validate datasets, outputs, and reports to ensure accuracy, completeness, and consistency.
Maintain comprehensive programming documentation, including specifications, validation reports, and code repositories.
Support data quality reviews and contribute to process improvement initiatives.
Participate in cross-functional meetings and provide programming expertise throughout study execution.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Statistics, Life Sciences, Biostatistics, Mathematics, or a related discipline.
Experience in statistical programming, preferably within a Clinical Research Organization (CRO), pharmaceutical, or biotechnology environment.
Strong understanding of clinical trial data structures and clinical research processes.
Knowledge of regulatory requirements and industry standards related to clinical data management and statistical programming.
Excellent analytical, problem-solving, and organizational skills.
Strong written and verbal communication abilities.
Technical Skills
Proficiency in SAS programming.
Experience with Medidata Rave and Custom Functions.
Knowledge of R and/or Python for data analysis and automation.
Understanding of clinical databases, data validation, and data transformation techniques.
Familiarity with CDISC standards (SDTM, ADaM) is preferred.
Experience with clinical reporting and statistical analysis workflows.
Preferred Qualifications
Prior experience supporting clinical trials across multiple therapeutic areas.
Experience working in a global, cross-functional clinical research environment.
Understanding of data visualization and advanced analytics methodologies.
Exposure to automation and process optimization initiatives within clinical data sciences.
Why Join ICON
Work with one of the world's leading clinical research organizations.
Contribute to innovative clinical programs that improve patient lives globally.
Access structured learning, development, and career progression opportunities.
Collaborate with industry-leading professionals across global teams.
Be part of a diverse, inclusive, and growth-oriented workplace culture.
Compensation & Benefits
Competitive base salary.
Performance-based incentives.
Comprehensive health and wellness programs.
Medical, dental, and vision coverage (where applicable).
Retirement and pension plans.
Life insurance and disability coverage.
Employee assistance programs.
Professional development and training opportunities.
Internal career growth pathways.
Equal Opportunity Statement
ICON is an Equal Opportunity Employer committed to fostering a diverse, inclusive, and accessible workplace. We welcome applicants from all backgrounds and provide reasonable accommodations throughout the recruitment process where required.
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