Hiring.Camp

AI Summer Intern – Data Science & AI 

Trinitylifesciences

·

Yesterday

Salary
$35+
Location
New York - Wall Street, United States of America
Workplace
Hybrid
Type
Internship
Department
IT
Seniority
Internship
Visa
Not sponsored
Closing date
Today
Source
Workday

Description

We are seeking a highly motivated and talented individual to join Trinity Life Sciences as an AI Intern on our Data Science & AI team. In this role, the intern will assist in developing and implementing artificial intelligence (AI), machine learning, and analytics solutions for various applications supporting Trinity’s pharmaceutical and life sciences clients. Projects may include generative AI, predictive analytics, forecasting, segmentation, patient finding, HCP targeting, and other advanced analytical solutions. Interns will work closely with our team of data scientists, consultants, and engineers to research, design, and implement cutting-edge AI and data science solutions. 

Interns develop their skills through undergoing extensive formal and informal training, as well as receiving mentorship that encourages them to stretch their skills in a real-world setting. This is a 9-week internship program based out of Trinity’s office in New York, NY – interns will be required to work in a hybrid work model, coming into the office about 2–3 days per week.


This is a 9-week, in-person summer internship and the program will run from mid-June 14 to mid-August 2027. Interns will be paid $35/hour and can expect to work 40 hours/week.


Applicants for this position must be legally authorized to work in the United States without the need for employer sponsorship. Trinity is unable to consider candidates requiring sponsorship for visas, including but not limited to TN, H1-B, F-1, and STEM OPT.


Position Responsibilities

  • Assist in developing and implementing AI, machine learning, and generative AI solutions as part of projects for Trinity’s life sciences clients.
  • Conduct research to identify AI models, analytical approaches, tools, and implementation techniques suited for specific client and business use cases.
  • Analyze and evaluate the performance of AI models and solutions.
  • Test and validate AI models and analytical approaches using real-world healthcare and life sciences data.
  • Collaborate with team members to design and develop model enhancements, refinements, and proof-of-concept solutions.
  • Support the Data Science & AI team in developing materials for business-development activities, including AI-related proposals, pitches, solution overviews, and presentations.
  • Assist in preparing technical reports, presentations, documentation, and other materials that clearly communicate analytical approaches and findings.

Position Requirements

Candidates should be enrolled in a graduate or undergraduate program in computer science, data science, engineering, statistics, mathematics, or a related field. Trinity is targeting current Juniors, or students in a master’s program with 1 year left in their studies.


Required Skills

  • Strong programming skills (e.g., Python, SQL).
  • Familiarity with artificial intelligence, machine learning, large language models, and/or agentic frameworks.
  • Ability to work independently and collaboratively in a team environment.
  • Strong problem-solving and analytical skills.
  • Excellent communication and presentation skills.

Value-Added Skills

  • Experience developing AI, machine learning, or generative AI solutions in an academic or corporate setting. Familiarity with deep learning frameworks such as TensorFlow, Pytorch or Keras
  • Experience working with large language models, agentic workflows, prompt engineering, or retrieval-augmented generation (RAG) flows. 
  • Experience with natural language processing (NLP), image processing, or other applied AI techniques.
  • Experience analyzing healthcare, pharmaceutical, claims, clinical, commercial, or other real-world data.
  • Experience translating technical concepts and analytical findings into presentations, technical documentation, or materials for nontechnical audiences.



About Us

Trinity powers the future of life sciences commercialization through the fusion of human and artificial intelligence. By blending deep therapeutic expertise and trusted human ingenuity with a purpose-built technology platform, Trinity accelerates clarity and confidence at every step of the commercialization journey—from pre-launch to scale to loss of exclusivity. For more than 30 years, the world’s leading pharmaceutical, biotech, and medtech companies have relied on Trinity’s foresight, execution, and partnership to deliver confident product launches, decisive market advantage, and measurable patient impact. During that time, Trinity expanded from its first office in Waltham, MA to 1,300 professionals across 14 offices and five continents, setting new industry standards in quality, responsiveness, and client partnership. For more information, visit Trinity at www.trinitylifesciences.com.



Trinity’s Commitment to Inclusion & Engagement (I&E) 
Trinity Life Sciences is an equal opportunities employer and welcome applications from all qualified individuals. At Trinity, inclusion and engagement are at the heart of how we work and grow together. We’ve evolved from a traditional “DEI” framework to Inclusion & Engagement (I&E)—a model that moves beyond representation to focus on connection, collaboration, and shared purpose. Every role at Trinity plays a part in fostering an environment where all employees feel valued, respected, and empowered to contribute fully. By embedding I&E principles into our culture, we ensure that belonging and engagement are not standalone initiatives—they are part of how we build teams, make decisions, and deliver excellence every day. Trinity will not tolerate any form of discrimination or harassment and encourages applicants of all ages and identities. For more information about Trinity’s commitment to Inclusion and Engagement please visit 
Inclusion & Engagement | Culture of Belonging at Trinity Life Sciences. 

Skills

PythonSQLMachine LearningDeep LearningNLPTensorFlowPyTorchData Science

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