Associate Data Scientist, AI Engineering

Job description

We're committed to bringing passion and customer focus to the business. Key Responsibilities: Design and implement ML models including regression, classification, clustering, and optimization algorithms. Build and deploy GenAI applications using LLMs for tasks such as summarization, sentiment analysis, and content generation. Collaborate with cross-functional teams to identify opportunities for AI integration into business processes. Conduct research on emerging GenAI technologies and frameworks (e.g., LangChain, LlamaIndex). Fine-tune and optimize models for performance, scalability, and accuracy. Develop and maintain robust data pipelines and workflows. Stay updated with the latest advancements in AI, ML, and NLP. 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