Clinical Data Science Programmer
Company: ICON plc
Location: Bengaluru, Chennai, or Trivandrum, India
Work Model: Office with Flex (Hybrid)
Employment Type: Full-Time
Job Requisition ID: JR146195
Position Summary
ICON is seeking a Clinical Data Science Programmer to support clinical trial data analysis and reporting through the development, validation, and maintenance of programming solutions. The role involves close collaboration with data scientists, statisticians, and clinical research teams to ensure high-quality, compliant, and efficient processing of clinical trial data.
The successful candidate will contribute to clinical development programs by ensuring data integrity, supporting statistical analyses, and delivering reliable programming outputs in accordance with regulatory and industry standards.
Key Responsibilities
1. Clinical Data Programming
Develop statistical programming solutions for clinical trial data analysis.
Create, test, and validate programming code to support:
Data analysis
Clinical reporting
Data visualization
Statistical outputs
Ensure programming deliverables meet quality and regulatory requirements.
2. Data Analysis Support
Collaborate with:
Clinical Data Scientists
Biostatisticians
Clinical Research Teams
Understand study-specific data requirements and analytical objectives.
Support efficient preparation and processing of clinical datasets for statistical evaluation.
3. Data Quality & Compliance
Ensure programming activities comply with:
Clinical research standards
Regulatory guidelines
Internal quality processes
Maintain data integrity throughout the clinical trial lifecycle.
Participate in quality reviews and validation activities.
4. Documentation & Validation
Prepare and maintain:
Programming specifications
Validation documentation
Code repositories
Analysis outputs
Document programming processes to support audit readiness and reproducibility.
5. Review & Reporting
Participate in the review of:
Analysis datasets
Statistical outputs
Clinical reports
Verify data accuracy, completeness, and consistency.
Support final reporting activities for clinical studies.
Educational Qualifications
Required Qualification
Bachelor's or Master's Degree in:
Computer Science
Statistics
Life Sciences
Biotechnology
Bioinformatics
Data Science
Related Scientific Discipline
Required Skills & Technical Competencies
Programming Languages & Tools
Experience with one or more of the following:
SAS
R
Python
Medidata Rave (Custom Functions)
Statistical & Clinical Data Knowledge
Statistical programming concepts
Clinical trial data management
Data validation techniques
Clinical research methodologies
Data integrity principles
Technical Competencies
Advanced Skills
Statistical programming
Data analysis and reporting
Data validation
Clinical dataset review
Quality control processes
Working Knowledge
Clinical research workflows
Regulatory requirements
Industry standards for clinical data management
Soft Skills & Professional Competencies
Communication
Strong written and verbal communication skills.
Ability to explain technical concepts to non-technical stakeholders.
Effective cross-functional collaboration.
Analytical Thinking
Strong problem-solving capabilities.
Logical reasoning and critical thinking.
Ability to identify and resolve data-related issues.
Quality & Attention to Detail
High level of accuracy in programming outputs.
Strong focus on data quality and compliance.
Commitment to producing reliable and reproducible results.
Preferred Experience
Prior experience in:
Clinical Research Organizations (CROs)
Pharmaceutical companies
Clinical data management
Statistical programming
Experience supporting clinical trials and regulatory submissions.
Exposure to healthcare or life sciences data environments.
Work Environment
Hybrid work model (Office with Flex).
Collaboration with global clinical research teams.
Opportunity to work on international clinical development programs.
Rewards & Benefits
ICON offers a comprehensive rewards package that may include:
Competitive salary
Performance-based incentives
Medical, dental, and vision benefits (where applicable)
Retirement and pension plans
Life insurance and disability coverage
Employee assistance programs
Health and wellbeing initiatives
Learning and development programs
Structured career growth pathways
Benefits may vary by role and location.
Ideal Candidate Profile
A detail-oriented Clinical Data Science Programmer with strong programming and analytical skills, capable of supporting clinical trial data analysis and reporting. The ideal candidate possesses experience with SAS, R, Python, or Medidata Rave, understands clinical research processes, and demonstrates a commitment to data quality, regulatory compliance, and collaborative teamwork.
Uttar Pradesh :
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Remote, India | Siliguri |Illinois :
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Frank Scottile Blvd |Missouri :
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Brussels |Antwerp :
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Manila |Croatia :
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