ClinChoice Hiring Intern - Statistical Programmer / Analyst | Bengaluru Freshers
Are you seeking a ClinChoice Statistical Programming Career or a Clinical SAS Programming Internship in India? Global CRO leader ClinChoice is inviting applications for the role of Intern – Statistical Programmer/Analyst at its Bengaluru, Karnataka office.
This internship program is specifically designed for fresh graduates in pharmacy, life sciences, statistics, computer science, and data science who want to build a career in biometrics, SAS/R programming, and CDISC standards. To write an entry-level CV tailored for statistical analysis, read our guidelines on how to apply for healthcare and pharma jobs online.
📋 Job Details
| Particular | Details |
|---|---|
| Company | ClinChoice |
| Position | Intern – Statistical Programmer/Analyst |
| Job Location | Bengaluru, Karnataka, India |
| Department | Statistical Programming / Biometrics |
| Employment Type | Full-Time Internship |
| Experience Required | Freshers (0 Years) |
| Qualifications | B.Pharm, M.Pharm, Biotechnology, Life Sciences, Statistics, Biostatistics, Data Science, Computer Science, Related Healthcare or Scientific disciplines |
| Stipend / Salary | ₹2.5 LPA – ₹4.0 LPA (Depending on skills & qualifications) |
💼 Key Responsibilities
- Complete the clinical programming structured training program within agreed timelines and clear post-training evaluations.
- Learn and apply statistical analysis software programming concepts using SAS and R under senior guidance.
- Develop statistical analysis outputs including Tables, Listings, and Figures (TLFs) for low-complexity clinical studies.
- Ensure programming activities strictly adhere to company SOPs and study specifications.
- Work with CDISC standards, focusing on SDTM (Study Data Tabulation Model) database structures.
- Collaborate closely with internal project teams, biostatisticians, and working study groups.
- Report data discrepancies or programming issues to project leads and supervisors in a timely frame.
- Participate in biometrics knowledge-sharing meetings and process improvement sessions.
- Ensure high-quality, compliance-focused delivery of assigned datasets and programming tasks.
To learn how statistical programmer salaries compare to pharmacovigilance and drug safety associate packages at global CROs, read our report on Pharmacovigilance Salary: India vs USA.
🎓 Required Qualifications & Skills
- Education: Bachelor or Master of Pharmacy (B.Pharm/M.Pharm), Bachelor or Master of Science (B.Sc/M.Sc) in Statistics, Biostatistics, Data Science, Computer Science, Biotechnology, or allied Life Sciences.
- Programming: Basic theoretical knowledge or training in SAS (Base/Stat) or R programming language is preferred.
- Clinical Knowledge: General understanding of clinical trial phases, drug development processes, and clinical data structures.
- Competencies: Strong logical reasoning, attention to detail, proactive communication, team collaboration, and a willingness to learn.
For pharmacy and biostatistics freshers evaluating clinical programming routes versus analytical laboratory pathways, read our career path analysis on B.Pharm Careers after Graduation: India vs USA.
🎁 Benefits of This Internship
- Structured training program covering industry-standard SAS/R workflows.
- Practical exposure to CDISC SDTM database creation.
- Mentorship under experienced biostatisticians and senior statistical programmers.
- Global CRO work environment with exposure to international clinical research projects.
- Clear career pathways transitioning from intern to full-time Associate Statistical Programmer.
To evaluate your understanding of clinical trials, protocol structures, and GCP guidelines before your interview, try our interactive Clinical Trial Assistant (CTA) Quiz.
💡 Statistical Programming vs Healthcare IT
Statistical Programmers use SAS/R to compile clinical trial data into regulatory tables and figures for drug approval packages, whereas Healthcare IT professionals support software deployments. To explore these differences, read our comparison on Healthcare IT vs Clinical Healthcare.
📝 Resume Tips for ClinChoice Programming Interns
- Highlight SAS / R Training: Make sure to list any SAS, R, or SQL certifications, coursework, training programs, or university projects prominently in your resume.
- Detail Logical Projects: Mention academic research projects, statistics projects, or database-related assignments that demonstrate your data extraction or analysis skills.
- Emphasize CDISC/SDTM Awareness: If you are familiar with CDISC standards (SDTM, ADaM), mention this in your technical skills list to stand out.
- Keep it Clean: Format your resume clearly with distinct sections for Education, Technical Skills (Programming, Office), Internships/Projects, and Accomplishments.
💬 ClinChoice Programming Intern Interview Questions
- Q1. What is SAS and what are the main components of a SAS program?
Answer Guidance: Explain that SAS (Statistical Analysis System) is a software suite used for data management and analysis. A basic SAS program consists of a DATA step (used to read, modify, and prepare data) and a PROC step (used to analyze and process data). - Q2. Can you explain what CDISC SDTM standards are?
Answer Guidance: Discuss that CDISC (Clinical Data Interchange Standards Consortium) SDTM (Study Data Tabulation Model) is a standardized structure for organizing and formatting clinical trial data submitted to regulatory authorities like FDA and PMDA. - Q3. What is the difference between a character variable and a numeric variable in SAS?
Answer Guidance: A character variable stores text (letters, symbols) and can be up to 32,767 bytes long, while a numeric variable stores numbers (integers, decimals) and defaults to 8 bytes. Character values must be enclosed in quotes in SAS statements, whereas numeric values do not require them.
🚀 How to Apply?
Interested and eligible candidates can submit their applications directly on ClinChoice's official Greenhouse job board. Click the button below to apply:
Apply Online – ClinChoice Careers Portal❓ Frequently Asked Questions
Q. Is this internship a paid position?
Yes, this is a paid internship. The stipend ranges between ₹2.5 LPA – ₹4 LPA based on skills, qualifications, and project guidelines.
Q. Are statistics and data science freshers eligible to apply?
Yes, candidates with backgrounds in Statistics, Biostatistics, Data Science, Computer Science, Pharmacy, and Biotechnology are eligible to apply.
Q. Where will the selected interns be located?
This is a full-time, in-office internship based at ClinChoice's Bengaluru office.
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