Aragen Life Sciences is a leading global Contract Research, Development, and Manufacturing Organization (CRDMO) providing innovative solutions to pharmaceutical, biotechnology, and life sciences companies. Known for its focus on digital transformation and advanced technologies, Aragen offers exciting internship opportunities for engineering graduates to gain hands-on experience in Artificial Intelligence, Data Science, and modern software development. Applications are now open for the Digital & AI Center of Excellence (CoE) Internship Program for the 2026 graduating batch.
Internship Highlights
| Details | Information |
|---|---|
| Company | Aragen Life Sciences |
| Program | Digital & AI Center of Excellence (CoE) Internship |
| Internship Type | Full-Time Internship |
| Eligible Batch | 2026 Pass-outs |
| Selection Process | Online Test followed by Technical Assessments |
| Online Test Date | 29th June 2026 |
Eligibility Criteria
| Criteria | Requirement |
|---|---|
| Qualification | B.Tech (Computer Science Engineering) or B.Tech (Data Science & AI) |
| Academic Requirement | Minimum 80% throughout academics |
| Institute | Reputed Engineering Institutes |
| Passing Year | 2026 Pass-outs Only |
Internship Role
As part of the Digital & AI Transformation Program, selected interns will work on:
- Digital application development.
- Data Science and Artificial Intelligence applications.
- AI literacy initiatives.
- Real-world digital transformation projects aligned with academic exposure.
Technologies You’ll Work With
- C#
- SQL Server
- React
- Claude AI
- Python
- Generative AI (Gen AI)
- DevSecOps
Selection Process
- Online Test
- Technical Assessments
How to Apply
Interested candidates can apply by scanning the QR code provided in the official notification or visit the official website:
Website: www.aragen.com
Why Join Aragen Life Sciences?
- Gain hands-on experience in cutting-edge AI and digital technologies.
- Work on live industry projects with experienced professionals.
- Learn modern software development practices and cloud-based technologies.
- Build practical skills that enhance future career opportunities in AI, Data Science, and Digital Engineering.
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