AI & Data Science Summer Intern (Hybrid, NY)

Trinity Life Sciences; New York (NY); Hybrid; USD 70,000 - 82,000; Full time

Job summary

Trinity Life Sciences in New York, NY, is seeking an AI Summer Intern for its Data Science & AI team. The 9-week program runs mid-June 14 to mid-August 2027, with in-person work at Trinity’s New York office and a hybrid schedule (2–3 days in the office).

You will assist in developing AI/ML solutions, researching models, and evaluating performance on healthcare data. Applicants must be enrolled in a CS/Data Science/Engineering/Math program, with strong Python/SQL skills.

Qualifications

• Currently enrolled in an undergraduate or graduate program in CS, data science, engineering, statistics, mathematics, or related field.
• Targeting current Juniors or master’s students with 1 year left in their studies.
• Strong programming skills (Python, SQL) and familiarity with AI/ML concepts or frameworks.
• Experience with large language models, agentic frameworks, or NLP is a plus.

Responsibilities

• Assist in developing and implementing AI, ML, and generative AI solutions for Trinity’s life sciences clients.
• Research AI models, analytics approaches, tools, and implementation techniques for client use cases.
• Analyze and evaluate AI model performance; validate with healthcare and life sciences data.
• Collaborate to design model enhancements and prepare technical reports and presentations.

Skills

Python

SQL

AI/ML familiarity

LLMs

Independent work

Communication

Education

Undergraduate or graduate student in CS/Data Science/Engineering/Math

Tools

TensorFlow

PyTorch

Keras

Job description

Trinity Life Sciences in New York, NY, is seeking an AI Summer Intern for its Data Science & AI team. The 9-week program runs mid-June 14 to mid-August 2027, with in-person work at Trinity’s New York office and a hybrid schedule (2–3 days in the office).

You will assist in developing AI/ML solutions, researching models, and evaluating performance on healthcare data. Applicants must be enrolled in a CS/Data Science/Engineering/Math program, with strong Python/SQL skills.