Collaborate with business to design, develop, and deploy advanced data science and AI solutions leveraging machine learning, large language models (LLMs), and modern data platforms.
- Collaborate with business to design, develop, and deploy advanced data science and AI solutions leveraging machine learning, large language models (LLMs), and modern data platforms.
- Work with large-scale structured and unstructured datasets including clinical data, publications, real-world evidence, and other healthcare datasets.
- Build predictive models and advanced analytics solutions to generate actionable insights and support data-driven decision making.
- Develop LLM-powered applications such as AI assistants, knowledge-grounded reasoning systems, and Retrieval-Augmented Generation (RAG) pipelines.
- Develop and maintain semantic layers, ontologies, and contextual data frameworks that enable consistent interpretation of data across AI systems and analytics workflows.
- Btech/Masters in a relevant fields such as Data Science, Statistics, Computer Science or a related discipline
- Nice to have: AI techniques in healthcare, life sciences, or biopharma domains
- Nice to have: Clinical data familiarity
- Nice to have: Healthcare datasets familiarity
- Nice to have: Real-world evidence sources familiarity
AI Product Operator InternNewNiural · New York City, US
Data Scientist IINewBristol Myers Squibb · Hyderabad, India