Are you a fresher looking to build a career in clinical research, biostatistics, data programming, or the pharmaceutical industry? If yes, here’s an exciting opportunity that could launch your professional journey with a globally recognized Clinical Research Organization (CRO).

ClinChoice has announced its Statistical Programming Intern/Analyst Internship 2026 for its Bengaluru office. This internship is ideal for graduates and postgraduates from Pharmacy, Biotechnology, Life Sciences, Engineering, Biochemistry, and related disciplines who want to enter the rapidly growing field of clinical data programming.

With increasing clinical trials worldwide, statistical programming professionals are in high demand. This internship offers structured training, exposure to global regulatory standards, and an opportunity to work with experienced industry professionals.

In this detailed guide, you’ll learn everything about the internship, eligibility, responsibilities, required skills, career opportunities, salary expectations, application process, and preparation tips.

About ClinChoice

ClinChoice is one of the world’s leading Contract Research Organizations (CROs), providing end-to-end clinical development services to pharmaceutical, biotechnology, medical device, and healthcare companies.

Founded in 1995, the company has expanded across multiple countries, delivering clinical operations, biometrics, pharmacovigilance, regulatory affairs, and technology-driven healthcare solutions.

Today, ClinChoice supports global drug development programs by helping sponsors conduct efficient, compliant, and high-quality clinical trials.

The company has offices across:

United States
Canada
United Kingdom
Italy
Poland
China
Japan
Philippines
India

Working at ClinChoice gives professionals exposure to international projects while following global clinical research standards.

ClinChoice Internship 2026 Overview

Particular	Details
Company	ClinChoice
Position	Statistical Programming Intern / Analyst
Job Type	Internship
Location	Bengaluru, Karnataka
Experience	Freshers Eligible
Qualification	B.Pharm, M.Pharm, Pharm.D, B.Sc, M.Sc, Biotechnology, Life Sciences, Engineering, Biochemistry
Department	Biometrics / Statistical Programming
Industry	Clinical Research
Employment Mode	Full Time

Why Choose a Career in Statistical Programming?

Clinical trials generate enormous volumes of patient data.

Every patient visit produces:

Laboratory reports
ECG reports
Vital signs
Medical history
Adverse events
Medication records
Electronic Case Report Forms (eCRFs)

Before regulatory authorities such as the US FDA or EMA review a drug application, all this information must be transformed into standardized datasets.

This is where Statistical Programmers play a vital role.

They convert raw clinical data into organized datasets and generate reports that enable biostatisticians and medical experts to evaluate the safety and effectiveness of new medicines.

As global pharmaceutical companies conduct more clinical trials, demand for SAS programmers and statistical analysts continues to grow.

What Does a Statistical Programming Intern Do?

During the internship, candidates receive hands-on exposure to clinical data programming.

Major learning areas include:

Clinical trial data standards
SAS Programming
R Programming
Data cleaning
Clinical database structures
CDISC standards
SDTM datasets
ADaM datasets
Tables, Listings & Figures (TLFs)

Interns gradually learn how to convert complex clinical datasets into regulatory-compliant formats.

Understanding the Clinical Data Workflow

Clinical data moves through several stages before regulatory submission.

Step 1: Data Collection

Patient information is collected from hospitals and clinical sites.

Examples include:

Blood test results
Medical history
Physical examination
Drug administration records
Adverse events

This information follows CDASH standards.

Step 2: SDTM Conversion

Raw data cannot be directly submitted.

Statistical programmers organize the data according to Study Data Tabulation Model (SDTM) standards.

This ensures consistency across all clinical studies.

Step 3: ADaM Dataset Creation

Analysis-ready datasets are created.

Biostatisticians use these datasets for statistical analyses.

Step 4: Generate TLFs

Using SAS programming, programmers generate:

Tables
Listings
Figures

These become part of the Clinical Study Report submitted to regulatory authorities.

Internship Training Program

One of the biggest advantages of this internship is the structured learning program.

Fresh graduates are not expected to possess industry-level expertise.

Instead, ClinChoice trains selected candidates in:

SAS Basics
Advanced SAS Programming
Clinical Trial Concepts
Clinical Database Standards
CDISC Guidelines
SDTM Programming
ADaM Concepts
Validation Programming
Documentation
Quality Control

Candidates undergo classroom learning followed by practical assignments.

At the end of training, performance evaluations determine readiness for project allocation.

Major Responsibilities

As a Statistical Programming Intern, you may be responsible for:

Learning SAS programming concepts
Understanding clinical trial protocols
Studying CDISC implementation
Developing SDTM datasets
Supporting ADaM programming
Assisting senior programmers
Running validation programs
Preparing TLF outputs
Performing quality checks
Documenting programming activities
Participating in team meetings
Following SOPs and company guidelines

First Time Right (FTR) Approach

ClinChoice emphasizes the First Time Right (FTR) philosophy.

This means producing accurate work from the beginning.

Instead of repeatedly correcting errors, programmers are encouraged to:

Clarify doubts
Seek guidance
Review their code
Validate outputs
Follow best practices

This approach improves productivity and minimizes costly mistakes.

Skills You’ll Learn

This internship helps build valuable technical skills.

SAS Programming

The most widely used programming language in pharmaceutical companies.

R Programming

Increasingly used for statistical analysis and visualization.

Clinical Data Standards

Understanding:

CDISC
SDTM
ADaM

Data Validation

Learning to identify inconsistencies and programming errors.

Documentation

Maintaining programming documentation according to regulatory requirements.

Educational Qualification

Candidates with any of the following qualifications may apply:

Pharmacy

B.Pharm
M.Pharm
Pharm.D

Engineering

B.E.
B.Tech

Preferred branches:

Computer Science
Biomedical Engineering
Bioinformatics
Information Technology

Life Sciences

B.Sc.
M.Sc.

Subjects include:

Biotechnology
Microbiology
Genetics
Molecular Biology
Life Sciences

Biochemistry

Graduates and postgraduates in Biochemistry are also eligible.

Preferred Skills

Candidates with the following skills will have an advantage:

Basic SAS knowledge
R Programming
Python
SQL
Excel
Statistics
Clinical Research Basics
Good Communication
Teamwork
Analytical Thinking
Problem Solving

Soft Skills Required

Apart from technical knowledge, recruiters evaluate professional behavior.

Important qualities include:

Learning Attitude

Ability to quickly understand new concepts.

Accountability

Taking ownership of assigned work.

Communication

Clear communication with mentors and project teams.

Attention to Detail

Clinical research demands high accuracy.

Time Management

Meeting project deadlines consistently.

Why Freshers Should Consider This Internship

Many graduates struggle to enter the clinical research industry because companies often ask for experience.

Internships like this bridge that gap.

Benefits include:

Industry-recognized experience
Corporate exposure
Professional training
Hands-on programming
International work culture
Better career prospects
Strong resume value

Career Growth After Internship

Statistical Programming offers excellent long-term career growth.

Typical progression:

Statistical Programming Intern
Junior Statistical Programmer
Statistical Programmer I
Statistical Programmer II
Senior Statistical Programmer
Lead Programmer
Principal Programmer
Programming Manager
Biometrics Director

With experience, professionals may also transition into:

Clinical Data Management
Biostatistics
Clinical Analytics
Regulatory Programming
Data Science

Salary Expectations

While internship stipends vary depending on company policy, full-time statistical programmers generally earn:

Experience	Approximate Salary (India)
Internship	Company Norms
0–2 Years	₹4–8 LPA
3–5 Years	₹8–15 LPA
6–10 Years	₹15–25 LPA
Senior Roles	₹25 LPA+

Candidates with SAS expertise and global project experience often command higher salaries.

Resume Tips for Selection

To improve your chances of getting shortlisted:

Highlight Programming Skills

Mention:

SAS
R
Python
SQL

if you have academic exposure.

Showcase Analytical Projects

Include:

Research projects
Data analysis assignments
College dissertations
Statistical coursework

Mention Clinical Knowledge

If you have studied:

Clinical Trials
Biostatistics
Pharmacology
Regulatory Affairs

include them under relevant coursework.

Add Certifications

Useful certifications include:

Clinical Research
SAS Programming
R Programming
Data Analytics
Good Clinical Practice (GCP)

Interview Preparation Tips

Recruiters may ask questions like:

What is a clinical trial?
Why do we use SAS?
What is SDTM?
Explain CDISC.
Difference between SDTM and ADaM.
Why do you want to join statistical programming?
Tell us about your academic project.
What programming languages do you know?
How do you handle deadlines?
Why should we hire you?

Prepare concise and confident answers.

Why Bengaluru?

Bengaluru has become one of India’s largest hubs for:

Clinical Research
Biotechnology
Data Analytics
Artificial Intelligence
Healthcare Technology
Pharmaceutical R&D

Working in Bengaluru provides excellent networking opportunities and exposure to multinational companies.

Who Should Apply?

This opportunity is ideal for:

B.Pharm Freshers
M.Pharm Graduates
Pharm.D Graduates
Biotechnology Students
Biochemistry Graduates
Life Science Graduates
Engineering Students
Fresh Postgraduates
Candidates interested in clinical programming

Documents Required

Before applying, keep these ready:

Updated Resume
Educational Certificates
Government ID
Passport-size Photograph
Internship Certificates (if any)
Academic Project Details

How to Apply for ClinChoice Internship 2026

Interested candidates can submit their applications through the company’s official careers portal.

Apply Here:
https://job-boards.eu.greenhouse.io/clinchoice/jobs/4870675101

Before submitting your application:

Update your resume.
Highlight technical skills.
Mention relevant academic projects.
Double-check all personal details.
Ensure your contact information is accurate.

Final Thoughts

The ClinChoice Statistical Programming Internship 2026 is an excellent opportunity for fresh graduates who aspire to build a successful career in clinical research, biometrics, and pharmaceutical data programming. With structured training, exposure to industry-standard tools like SAS and R, and the chance to work on global clinical projects, this internship can provide a strong foundation for long-term career growth.

If you have a background in Pharmacy, Biotechnology, Life Sciences, Engineering, or Biochemistry, don’t miss this opportunity. Prepare a well-structured resume, emphasize your analytical and programming skills, and apply as early as possible to improve your chances of selection.

Frequently Asked Questions (FAQs)

Is this internship open to freshers?

Yes. Fresh graduates and postgraduates meeting the eligibility criteria are encouraged to apply.

Which qualifications are eligible?

B.Pharm, M.Pharm, Pharm.D, B.Sc., M.Sc., Biotechnology, Life Sciences, Biochemistry, B.E., and B.Tech candidates from relevant disciplines.

Where is the internship located?

Bengaluru, Karnataka.

Which programming languages are used?

Primarily SAS and R. Knowledge of Python or SQL can also be beneficial.

Is prior SAS experience mandatory?

No. ClinChoice provides structured training for selected interns, though basic programming knowledge is an advantage.

What career opportunities are available after this internship?

Successful interns can pursue roles such as Statistical Programmer, Clinical Data Analyst, Biometrics Programmer, or Clinical SAS Programmer in CROs and pharmaceutical companies.