Intern of the Week: Parth Vaja

Name: Parth Vaja

Pronouns: He/Him

Semester of Internship: Summer 2026

Major: MS Data Science

Current Class Level: Master's Student

This semester I completed a(n)...: Internship

Internship, Co-op, or Research Site (Company/Organization Name): BeOne Medicines

Location of the Organization (City, State): Hopewell, New Jersey (Remote)

Title of position: AI & Data Engineering Intern

Tell us about your internship, co-op, or research opportunity, including your day-to-day responsibilities:
I am working as an AI and Data Engineering Intern at BeOne Medicines, supporting the Global Commercial and Medical Technology team on a project to build an AI-powered bot over the company's Amazon Redshift data warehouse. My day-to-day work involves extracting metadata from Redshift, parsing SQL and stored procedures with Python, generating documentation using large language models, and building a retrieval-augmented pipeline that lets users query the warehouse conversationally. I am also designing a dependency graph layer that enables deterministic impact analysis for stored procedure changes. A typical day includes syncs with my manager, hands-on engineering work, coordination with other engineers on the team.


Describe the process of obtaining your position. When did you hear of the position and submit your application?
I first came across the BeOne Medicines internship posting in early March 2026 while searching for summer roles that combined AI, LLMs, and data warehousing. I applied within a few days with a tailored cover letter and outreach email, and was soon contacted for a phone screen with the hiring manager. After that initial conversation, I researched the project deeply and prepared a written architecture proposal outlining how I would approach the stored procedure documentation bot. A follow-up discussion led to a formal offer through BeOne's talent acquisition team and their workforce partner, Magnit Global, which I accepted in May 2026 and started in June.

What resources did you use to find your current experience?
LinkedIn or other social media

What have you enjoyed the most about your position and organization?
What I have enjoyed most is the combination of real technical depth and real business impact. The project I am working on directly touches how BeOne's commercial teams understand their own data infrastructure, so every design decision has actual consequences for how analysts, engineers, and leadership do their jobs. I have also appreciated the trust my manager has placed in me from day one, giving me space to propose my own architectural ideas rather than just executing predefined tasks. Being part of a mission-driven organization focused on oncology adds another layer of meaning to the technical work.

How do you believe you have made an impact through your work?
I have contributed by designing and building the foundational components of an AI-powered bot that will help the team query stored procedures and perform impact analysis on their Redshift data warehouse. Beyond writing the code, I proposed adding a deterministic dependency graph layer alongside the retrieval-augmented generation pipeline, which improves reliability for the exact impact-analysis questions the team relies on most. My work is helping build a system that will reduce the time engineers and analysts spend manually tracing data dependencies, making the broader commercial data platform more transparent and maintainable.

What advice would you give to another student who is seeking an internship or similar experience?
Start early, prepare seriously, and treat every application as an opportunity to learn something about the company rather than just a submission. I have found that tailored applications, thoughtful outreach emails, and genuine research about the role make a significant difference compared to generic mass applications. Do not be afraid to propose ideas or share your thinking in interviews, since managers often value candidates who engage with the problem rather than just answering questions. Finally, stay persistent and keep track of your process, because internship searches take time and small improvements compound over dozens of applications.