Caidya (formerly Clinipace) is hiring for a Trainee: Statistical Programming position in Trivandrum, India. This office-based, trainee-level opportunity is suitable for freshers with a background in Mathematics, Statistics, Information Technology, Life Sciences, or Technology and working knowledge of SAS programming.
Job Title: Trainee: Statistical Programming
Company: Caidya / Clinipace
Req ID: 8389
Location: Trivandrum, India
Work Mode: Office Based
Experience: Trainee level; no prior industry experience required
Qualification: Bachelor’s in Technology or Master’s/equivalent in Mathematics, Statistics, IT, or Life Sciences
Caidya Trainee Statistical Programming Job 2026
This Trainee Statistical Programming job in Trivandrum offers entry-level exposure to statistical programming, clinical data analysis, SAS programming, biometrics, data validation, and CDISC standards.
According to the official job description, the trainee will work with Biostatisticians, Statistical Programmers, and Clinical SAS Programmers while gaining hands-on experience in data analysis, reporting, documentation, and Biometrics activities.
The position is particularly relevant for freshers who want to build a career in Clinical SAS Programming, Statistical Programming, Biometrics, or clinical research data programming.
Job Overview
| Details | Information |
|---|---|
| Company | Caidya / Clinipace |
| Position | Trainee: Statistical Programming |
| Req ID | 8389 |
| Location | Trivandrum, India |
| Work Mode | Office Based |
| Experience | Trainee / Freshers |
| Industry Experience | Not required |
| Qualification | B.Tech or Master’s/equivalent in Mathematics, Statistics, IT or Life Sciences |
| Key Skill | SAS Programming |
| Additional Skill | R Programming |
| Employment Type | Full-time / Trainee opportunity |
The employer’s career page confirms the Trivandrum location, office-based work arrangement, Req ID 8389, and trainee-level eligibility.
Responsibilities
After completing the training, the selected candidate may work on the following statistical programming and clinical data activities:
- Collaborate with mentors to learn programming activities performed by the Biometrics team.
- Develop simple, medium, and complex data checks.
- Prepare data reconciliation reports.
- Create reports and listings requested by Data Management and other cross-functional teams.
- Merge external datasets with EDC data and check data consistency.
- Import and export SAS, Excel, and CSV data files.
- Work with SAS datasets such as
.sas7bdat. - Support the preparation of dataset specifications.
- Develop mapping specifications for integrated datasets.
- Develop and document programs used to generate datasets.
- Develop programs for tables, listings, and figures.
- Perform programming validation and prepare validation documentation.
- Prepare and document data according to CDISC data standards.
- Work with cross-functional project teams.
- Follow company SOPs and established procedures.
These responsibilities are based on the employer’s published requisition.
Eligibility Criteria
Educational Qualification
Candidates should have a Bachelor’s in Technology or a Master’s degree/equivalent in one of the following areas:
- Mathematics
- Statistics
- Information Technology
- Life Sciences
The official description does not require prior industry experience, making this a fresher-friendly statistical programming opportunity.
Experience
Trainee level — no prior industry experience required.
Fresh graduates who meet the educational and technical requirements can apply.
Skills Required
Applicants should have:
- Analytical and problem-solving skills
- Strong attention to detail
- Understanding of data quality
- Good English communication skills
- Working knowledge of MS Word
- Working knowledge of MS Excel
- Working knowledge of SAS programming
- Good teamwork and collaboration skills
- Professionalism and integrity
R programming knowledge is an added advantage.
What Candidates Should Know Before Applying
Although the position does not require previous industry experience, the employer specifically mentions working knowledge of SAS programming.
Candidates preparing for a statistical programming interview should revise topics such as:
- SAS DATA Step
- PROC SQL
- PROC SORT
- PROC PRINT
- PROC FREQ
- PROC MEANS
- Dataset merging
- Importing and exporting data
- Excel and CSV data processing
- Basic data validation
- Missing-data handling
- Basic clinical trial data concepts
- Introduction to CDISC standards
Knowledge of R can provide additional preparation for the role.
Career Scope
A Trainee Statistical Programming position can provide foundational exposure to several areas of clinical research programming, including:
Statistical Programming → Clinical SAS → Biometrics → Clinical Data → CDISC → Data Validation → Tables, Listings & Figures
With relevant experience, professionals may subsequently explore career paths such as:
- Statistical Programmer
- Clinical SAS Programmer
- SAS Programmer
- Statistical Programming Analyst
- Biometrics Programmer
- Clinical Data Programmer
The actual career progression will depend on performance, skills, project exposure, and future openings.
Benefits / Opportunity Highlights
The published role provides candidates with opportunities for:
- Hands-on statistical programming exposure
- SAS programming experience
- Exposure to clinical data and EDC datasets
- Learning CDISC data standards
- Programming validation experience
- Dataset, mapping, listing, table and figure development
- Mentorship from experienced Biometrics professionals
- Cross-functional clinical research collaboration
- Entry into the clinical research programming field
These points are based on the activities and training exposure described in the employer’s job description rather than a separately published employee-benefits package.
How to Apply
