AI & Data Science Intern - Life Sciences (Hybrid, NYC)

Trinity Life Sciences

New York (NY)

Híbrido

USD 40 000 - 57 000

Tempo integral

Há 9 dias

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Resumo da oferta

Trinity Life Sciences seeks a motivated AI Intern for its Data Science & AI team in New York. You will help develop AI, ML, and analytics solutions for pharma clients, researching suitable models, evaluating performance, and supporting business-development materials.

The 9-week in-person internship runs mid-June to mid-August 2027 and is hybrid, requiring 2–3 days in the office. You must be enrolled in a graduate or undergraduate program in CS, data science, engineering, statistics, or math,

Qualificações

  • Strong programming skills (Python, SQL) and familiarity with AI/ML topics.
  • Ability to work independently and in a team.
  • Excellent communication and presentation skills.

Responsabilidades

  • Assist in developing AI, ML, and generative AI solutions for life sciences clients.
  • Research AI models and implementation techniques for client use cases.
  • Evaluate AI model performance on healthcare data.
  • Collaborate to design model enhancements and proofs-of-concept.
  • Prepare technical reports, proposals, and presentations.

Conhecimentos

Python
SQL
AI/ML concepts
Team collaboration
Communication

Formação académica

Undergraduate or graduate program in CS/DS/Engineering/Statistics/Math

Ferramentas

TensorFlow
PyTorch
Keras

Descrição da oferta de emprego

Trinity Life Sciences seeks a motivated AI Intern for its Data Science & AI team in New York. You will help develop AI, ML, and analytics solutions for pharma clients, researching suitable models, evaluating performance, and supporting business-development materials.

The 9-week in-person internship runs mid-June to mid-August 2027 and is hybrid, requiring 2–3 days in the office. You must be enrolled in a graduate or undergraduate program in CS, data science, engineering, statistics, or math,

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