Data Scientist and AI Developer Intern

Daiichi Sankyo
Location
Basking Ridge, NJ, US
Job Type
Full-time
Posted
November 11, 2026
Views
13

Job Description

We are currently seeking a Data Scientist and AI Developer Intern from June 2027 – May 2028. This position works for approximately 37.5 hours per week in the summer and 20 hours per week for the remainder of the internship.

The intern will be accountable for ideating, designing, developing, and supporting applications and solutions to explore various machine intelligence techniques including but not limited to natural language processing (NLP), predictive analysis using supervised and unsupervised machine learning (ML), and generative AI (GenAI) using large language models (LLM) for use cases that focus on data quality and data governance. The role may also involve working with cloud technologies and services such as AWS and GCP to support scalable data processing, AI/ML experimentation, application deployment, and integration with enterprise data platforms. The position requires familiarity with AI/ML/NLP/GenAI techniques, SQL databases and data manipulation, API architectures, cloud-based services, and user interface development. Strong work ethic and eagerness and ability to self-learn is critical.

Responsibilities

  • Design, develop, and support AI/ML/NLP/GenAI solutions.
  • Analyze data using SQL and other techniques.
  • Extract data using REST APIs.
  • Develop and support simple user interfaces.
  • Support development, deployment, and integration of cloud-based data and AI solutions using technologies such as AWS and GCP.
  • Create simple visualization.
  • Assist in various other related functions such as preparing documentation, taking meeting notes, plan and manage work, make presentations, etc.
  • Augment knowledge with self-driven learning.

Qualifications

Qualified candidates must be a current graduate school student pursuing computer science, data analytics or a related discipline. Experience with SQL development, data analysis using MS Excel, developing simple web portals and machine learning (NLP, predictive analytics) is required. Prior academic or professional work experience is preferred; experience in the pharmaceutical industry and/or with clinical data is a plus. Enthusiasm, eagerness to learn and take on responsibilities, and teamwork are essential qualities.

Frequently Asked Questions

Where is this internship located, and is it remote, hybrid, or on-site?
The internship is located in Basking Ridge, NJ, US. The posting does not specify whether the role is remote, hybrid, or on-site.
What are the dates and weekly hours for this internship?
The internship runs from June 2027 to May 2028. It involves approximately 37.5 hours per week during the summer and 20 hours per week for the remainder of the internship.
What qualifications do I need to apply?
You must be a current graduate student in computer science, data analytics, or a related discipline. Required experience includes SQL development, data analysis using MS Excel, developing simple web portals, and machine learning (NLP, predictive analytics). Prior academic or professional work experience is preferred, and pharmaceutical industry or clinical data experience is a plus.
What will I be working on day to day?
You'll design, develop, and support AI/ML/NLP/GenAI solutions focused on data quality and data governance. Tasks include analyzing data with SQL, extracting data via REST APIs, building simple user interfaces and visualizations, and supporting cloud-based solutions on AWS and GCP. You'll also prepare documentation, take meeting notes, and give presentations.
What technologies will I use in this role?
The role involves NLP, supervised and unsupervised machine learning, generative AI using large language models, SQL databases, REST APIs, user interface development, and cloud services such as AWS and GCP.
What personal qualities are they looking for?
The posting emphasizes a strong work ethic, enthusiasm, eagerness and ability to self-learn, willingness to take on responsibilities, and teamwork.

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Job Information

Source: manual
AI Relevance: 88/100 (Highly relevant)
Remote Type: onsite
Skills & Tags:
daiichi sankyo machine learning NLP clinical LLM

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