Data Scientist, Machine Learning

Roles & Responsibilities: Conduct simple and advanced data analysis to help clients make good business decisions Work with project leadership to define project scope and manage end to end implementation Apply advanced statistical, econometric, optimization models and algorithms to real-world business problems. Develop new statistical models as well as provide analysis using existing models. Maintain the highest standards to follow the best practices and trending analytics in pharma domain Work with internal business teams to understand problem statement, requirements and use cases Excellent Problem Solving & Quantitative skills, Hands on experience on Python/R/SAS Experience in tools like Pyspark, SQl, Big Query   Ability to create a model & simulation tool from scratch Should be comfortable interacting and managing stakeholders both external and internal Should be good in project management and ensuring timelines and quality is met 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