ICON is hiring for the position of Clinical Data Science Programmer in Chennai, India. The role involves developing and validating statistical programming code, supporting clinical trial data analysis and reporting, and ensuring the accuracy and quality of programming deliverables.
Candidates with a degree in computer science, statistics, life sciences, or a related field, along with programming experience and proficiency in SAS, R, or Python, can apply.
Job Details
| Particulars | Details |
|---|---|
| Company | ICON |
| Job Title | Clinical Data Science Programmer |
| Job Location | Chennai, Tamil Nadu, India |
| Work Arrangement | Office With Flex |
| Job Type | Full Time |
| Job Requisition ID | JR159024 |
| Job Posting | October 2026 |
Position
Clinical Data Science Programmer
The selected candidate will develop and implement programming solutions to support clinical trial data analysis and reporting while collaborating with data scientists and statisticians.
Responsibilities
- Develop and validate statistical programming code for clinical trial data analysis and reporting.
- Collaborate with data scientists and statisticians to understand data requirements and analytical needs.
- Ensure compliance with industry standards and regulatory guidelines in programming practices.
- Create and maintain documentation for programming processes, code, and outputs.
- Review analysis datasets and final reports to ensure accuracy and completeness.
- Deliver clinical data science programming outputs with a focus on quality and efficiency.
Eligibility and Qualifications
Candidates must meet the following requirements:
- A degree in computer science, statistics, life sciences, or a related field.
- Experience in programming, preferably within a clinical research environment.
- A strong understanding of statistical analysis.
- The legal right to work in India.
Required Skills
- Programming: SAS, R, or Python.
- Statistical Analysis: Understanding of statistical analysis principles.
- Clinical Research: Familiarity with programming in a clinical research environment.
- Quality and Accuracy: Attention to detail and commitment to high-quality outputs.
- Communication: Ability to collaborate effectively with cross-functional teams.
- Documentation: Ability to maintain programming documentation and outputs.
