Caidya is hiring candidates for the position of Trainee – Statistical Programming at its Trivandrum, India location. This is an entry-level opportunity for candidates interested in Statistical Programming, Clinical SAS, Biometrics, and Clinical Research.
The official job description states that no prior industry experience is required, making this opportunity suitable for freshers with relevant educational qualifications and basic knowledge of SAS programming.
Selected candidates will work with Biostatisticians, Statistical Programmers, and Clinical SAS Programmers and gain practical experience in clinical data processing, SAS programming, CDISC standards, dataset development, validation, and clinical trial reporting.
Caidya Trainee Statistical Programming Recruitment 2026 – Overview
| Particulars | Details |
|---|---|
| Company | Caidya |
| Position | Trainee – Statistical Programming |
| Req ID | 8388 |
| Department | Biometrics / Statistical Programming |
| Job Location | Trivandrum, India |
| Work Mode | Office Based |
| Experience | Freshers / No Prior Industry Experience Required |
| Job Level | Trainee / Entry Level |
| Qualification | B.Tech or Master’s/equivalent in Mathematics, Statistics, IT or Life Sciences |
| Key Skills | SAS, Excel, Data Analysis |
| R Programming | Added Advantage |
About the Caidya Statistical Programming Trainee Job
The selected candidate will join the Biometrics team and receive practical exposure to programming activities used in clinical research.
The role involves working alongside experienced professionals and learning areas such as clinical data analysis, data reconciliation, dataset specifications, mapping specifications, CDISC standards, programming validation, and the creation of tables, listings, and figures.
This can be a suitable starting point for graduates who want to build a career in Clinical SAS Programming or Statistical Programming.
Key Responsibilities
After completing the required training, the trainee may be responsible for:
- Working with mentors to learn various statistical programming activities.
- Programming simple, medium, and complex data checks.
- Preparing data reconciliation reports.
- Creating special reports and listings for Data Management and other departments.
- Merging external data with EDC data and checking data consistency.
- Importing and exporting data in different file formats.
- Working with SAS datasets such as
.sas7bdat. - Processing Excel files including
.xlsxand.xls. - Working with CSV and other delimited data files.
- Supporting the preparation of dataset specifications.
- Developing mapping specifications for integrated datasets.
- Developing and documenting dataset-generation programs.
- Developing and documenting programs for tables, listings, and figures.
- Performing programming validation activities.
- Preparing validation documentation.
- Supporting data preparation according to CDISC data standards.
- Collaborating with cross-functional project teams.
- Following company SOPs and established procedures.
Educational Qualification
Candidates should have a Bachelor’s in Technology or Master’s degree/equivalent qualification in one of the following areas:
- Mathematics
- Statistics
- Information Technology
- Life Sciences
Candidates should ensure that their educational qualification matches the requirements stated in the official job description.
Experience Required
Freshers can apply.
The position is specifically described as a trainee-level role, and previous industry experience is not required.
This makes the opportunity suitable for eligible fresh graduates looking to enter the clinical research and statistical programming industry.
Skills Required
Candidates should have:
- Working knowledge of SAS programming
- Analytical and problem-solving skills
- Strong attention to detail
- Understanding of data quality and accuracy
- Working knowledge of Microsoft Excel
- Working knowledge of Microsoft Word
- Good English communication skills
- Teamwork and collaboration skills
- Professionalism and integrity
Additional Skill
Knowledge of R programming will be an added advantage.
SAS Skills Freshers Should Know
Although prior industry experience is not required, the job description specifically mentions working knowledge of SAS programming.
Candidates preparing for this role should consider revising:
- SAS DATA Step
- PROC SQL
- PROC SORT
- PROC PRINT
- PROC FREQ
- PROC MEANS
- Importing and exporting data
- Merging datasets
- Handling missing data
- Basic clinical data concepts
Career Opportunities After This Role
The position can provide practical exposure to several areas of clinical research programming, including:
- Clinical SAS Programming
- Statistical Programming
- Biometrics
- Clinical Data Processing
- EDC Data
- Data Reconciliation
- CDISC Standards
- Dataset Development
- Dataset Mapping
- Tables, Listings and Figures
- Programming Validation
- Clinical Research Documentation
With relevant experience, candidates can progress toward roles such as Statistical Programmer, Clinical SAS Programmer, SAS Programmer, Biometrics Programmer, Clinical Data Programmer, or Statistical Programming Analyst.
Caidya Trainee Statistical Programming Salary
Caidya has not disclosed an official salary package in the supplied job description.
Estimated Salary: ₹3 LPA – ₹5 LPA
This is an indicative market estimate and not an employer-confirmed salary. The actual salary may vary depending on qualification, technical skills, company policy and the final offer.
Job Location
Trivandrum, India
Work Arrangement: Office Based
Candidates should be prepared to work from the Trivandrum office according to the company’s applicable work schedule.
How to Apply
Interested and eligible candidates can apply online for the Trainee – Statistical Programming position through Caidya’s official recruitment process.
Position: Trainee – Statistical Programming
Req ID: 8388
Location: Trivandrum, India
Experience: Freshers
Work Mode: Office Based
Candidates should highlight their SAS knowledge, Excel skills, statistics/mathematics background, academic projects, programming skills, and relevant clinical research coursework in their resume.
