We are seeking a highly motivated and talented individual to join Trinity Life Sciences as a Generative AI (GenAI) Intern on our Product Engineering team. In this role, the intern will assist in implementing state-of-the-art GenAI models and building agentic workflows for various applications within our product offerings for our clients in the pharmaceutical and life sciences industry. Interns will work closely with our team of engineers and data scientists to research, design, and implement cutting-edge products. 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. The dates for the program run from mid-June – 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 building agents and using AI as part of various applications for our life sciences clients Conduct research to identify GenAI models and implementation techniques suited for specific use cases Analyze and evaluate the performance of Gen AI models and agents Test and validate the performance of agents using real-world data Collaborate with other team members to design and develop enhancements and refinements Assist in preparing technical reports, presentations, and documentation Position Requirements: Candidates should be enrolled in a graduate or undergraduate program in computer science 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. Typescript, SQL) Familiarity with different types of large language models and 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 doing software development with different types of large language models in an academic or corporate setting Experience using agentic coding tools for development Experience building agents using agent frameworks like Langchain Experience with agent testing/evaluation frameworks About Us With almost 30 years of expertise, a best-in-the-business team and unrivaled access to data and analytics, Trinity Life Sciences is a modern partner to companies in the life sciences industry. Trinity combines strategy, insights and analytics to help life science executives with clinical and commercial decision-making. We serve over 300 pharmaceutical, biotech and medical device clients, helping them develop the right drugs and devices for today’s market and optimize them once in market. In 2023, the company worked on 75% of all new drug launches and provides ongoing, in-depth, high value thought leadership that helps shape the industry. With a diverse staff of over 1,200 employees and 11 global offices across the U.S., Europe and Asia, Trinity continues to grow both organically and through acquisitions. These acquisitions included BluePrint Research Group, CBPartners, TGaS Advisors, Bell Canyon and D Cube Analytics, the latter of which dramatically leap-frogged Trinity to the leading provider of go-to-market analytics and AI to biopharma companies. Trinity has also entered into a transformative partnership with Bain & Company that has strategically advanced Trinity’s mission to revolutionize the pharmaceutical commercial model. Ultimately, we know that every decision our clients make impacts a life, and when we help our clients achieve their goals, the world benefits. Trinity’s Commitment to Inclusion & Engagement Trinity Life Sciences is an Equal Opportunity Employer that prohibits discrimination and harassment of any kind. Trinity is committed to furthering our social impact by fostering a culture that works to ensure every Trinitron feels seen, heard, valued, and that they belong. We are committed to providing employees with a work environment that is free of discrimination and harassment. All employment decisions at Trinity are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, disability, ethnicity, gender identity or expression, family, parental, or veteran status, and/or any other status based on identity or that is protected by the laws or regulations in the locations where we operate. 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 diversity, equity, and inclusion, you can visit our website– www.trinitylifesciences.com. 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. Early Talent Learning & Development Inclusion & Engagement Practice Case Study

Product Engineering Summer Intern – Generative AI.

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