If you’re interested in clinical research, biostatistics, healthcare analytics, or programming with SAS and R, the ClinChoice Statistical Programmer/Analyst Intern opportunity in Bengaluru can be an excellent starting point. This internship provides hands-on exposure to clinical trial data analysis, statistical programming, regulatory standards, and real-world healthcare research projects.
Interns will receive structured training, work alongside experienced statistical programmers, and gain practical experience in analyzing clinical study data used by pharmaceutical, medical device, and healthcare organizations worldwide.
About the Company
ClinChoice is a global clinical research organization established in 1995. The company supports pharmaceutical, biotechnology, vaccine, medical device, and consumer healthcare companies through services such as:
- Clinical Operations
- Biometrics
- Statistical Programming
- Regulatory Affairs
- Pharmacovigilance
- Medical Affairs
- Technology Solutions
- Quality and Compliance Services
With offices across North America, Europe, and Asia, ClinChoice helps healthcare innovators accelerate clinical trials, improve regulatory compliance, and enhance patient safety through data-driven decision-making.
Role Overview
Position: Statistical Programmer/Analyst Intern
Location: Bengaluru, India
Job Type: Internship
Department: Statistical Programming / Biometrics
This internship is designed for candidates who want to build expertise in clinical data programming, statistical analysis, SAS, R programming, and industry-standard clinical research processes.
Interns will participate in a formal training program and gradually contribute to clinical programming projects under the guidance of senior team members.
Salary/Stipend Estimate 💰
ClinChoice has not publicly disclosed the internship stipend.
Based on comparable Statistical Programming and Clinical Data internships in India, the estimated stipend may range between ₹15,000 and ₹30,000 per month.
Estimated Full-Time Salary After Graduation: ₹4 LPA – ₹8 LPA (depending on skills, SAS expertise, academic background, and location).
Note: This is an estimate based on industry benchmarks and is not officially confirmed by ClinChoice.
Key Responsibilities
As a Statistical Programmer/Analyst Intern, you may work on the following activities:
- Complete the clinical programming training program successfully.
- Learn industry-standard statistical programming methodologies.
- Develop statistical analysis outputs using SAS and R.
- Follow Standard Operating Procedures (SOPs).
- Program according to project specifications and requirements.
- Support creation of Tables, Listings, and Figures (TLFs).
- Assist in statistical analysis of clinical study data.
- Work with CDISC SDTM standards.
- Deliver assigned tasks within quality and timeline expectations.
- Collaborate with study teams and project stakeholders.
- Report issues and seek guidance when necessary.
- Participate in knowledge-sharing sessions and team discussions.
- Contribute to process improvement initiatives.
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Who Can Apply?
Candidates may be a good fit if they:
| Eligibility Criteria | Details |
|---|---|
| Education | Bachelor’s or Master’s degree in Statistics, Mathematics, Biostatistics, Computer Science, Life Sciences, Pharmacy, Biotechnology, or related fields |
| Programming Skills | Basic knowledge of SAS and/or R |
| Data Skills | Interest in data analysis and statistical programming |
| Communication | Good written and verbal communication skills |
| Learning Mindset | Strong willingness to learn and adapt |
| Teamwork | Ability to collaborate effectively with teams |
Fresh graduates and students interested in clinical research analytics are encouraged to apply.
Preferred Skills
The following skills can improve your chances of selection:
- SAS Programming
- R Programming
- Statistical Analysis
- Clinical Trial Data Understanding
- CDISC SDTM Knowledge
- Data Visualization
- Problem Solving
- Analytical Thinking
- Documentation Skills
- Time Management
- Attention to Detail
What You’ll Learn
During the internship, candidates can gain exposure to:
- Clinical Research Industry Practices
- Statistical Programming Workflows
- Regulatory Data Standards
- SAS and R Development
- Clinical Trial Data Analysis
- SDTM Data Structures
- Tables, Listings & Figures Generation
- Quality Control Processes
- Pharmaceutical Industry Analytics
- Professional Team Collaboration
These skills are highly valuable for careers in:
- Statistical Programming
- Clinical Data Management
- Biostatistics
- Clinical Research
- Healthcare Analytics
- Data Science
- Pharmaceutical Technology
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Why Consider This Internship?
Several factors make this opportunity attractive:
- Work with a globally recognized clinical research organization.
- Structured training and mentorship.
- Exposure to pharmaceutical and healthcare projects.
- Hands-on experience with SAS and R.
- Opportunity to learn industry standards like CDISC SDTM.
- Collaborative and learning-focused environment.
- Strong foundation for careers in clinical analytics and biostatistics.
Selection Tips
To improve your chances:
- Revise basic statistics concepts.
- Learn SAS fundamentals and syntax.
- Practice data manipulation in R.
- Understand clinical trial phases and terminology.
- Familiarize yourself with CDISC standards.
- Strengthen Excel and data analysis skills.
- Highlight relevant coursework, projects, and certifications on your resume.
- Demonstrate curiosity and willingness to learn during interviews.
How to Apply
Interested candidates should apply by clicking the application button below.
Before applying:
- Update your resume with statistical, programming, and analytical projects.
- Mention SAS, R, Python, SQL, or data analysis experience.
- Include academic achievements and relevant coursework.
- Highlight internships, research work, or healthcare analytics projects if available.
- Prepare examples demonstrating problem-solving and analytical thinking.
A strong application showcasing quantitative skills and eagerness to learn clinical programming can significantly improve your chances of selection.
Disclaimer:
This information is collected from official/public sources for informational purposes only. Salary estimates are based on market research and may vary. We do not charge any fee for job updates and do not guarantee selection or recruitment. Candidates should verify details from the official source before applying.
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