Sr Data Scientist Prod Ai&Ml

Experteer Overview In this role you will advance data-driven clinical operations using GenAI, ML, and NLP.You’ll adapt models to support enrollment forecasting, cost optimization, and site selection across therapeutic areas.You’ll build pipelines, fine-tune LLMs, and translate complex methods for diverse stakeholders.This is a chance to shape AI-enabled clinical operations within a leading healthcare innovator.Compensaciones / Beneficios * Conceive, develop, and implement GenAI and ML solutions to support clinical trial operations * Fine-tune and adapt large language models (LLMs) for protocol analytics, trial similarity, data harmonization, and eligibility evaluation * Use operational data and optimization techniques to create tools for scenario development with cost and enrollment optimization and real-world data insights * Contribute to patient modeling and enrollment simulations for accurate enrollment projections * Communicate technical methods and results clearly to diverse audiences to drive decision-making Responsabilidades * Ph.D. in a quantitative discipline (e.g., computer science, statistics, biostatistics, health economics, biomedical informatics, epidemiology, applied mathematics) * 2+ years of industry experience delivering Data Science projects (predictive technologies, forecasting, optimization, NLP/AI/ML) * Hands-on experience with LLM application frameworks and tools (e.g., DSPy, LangChain) and clinical/medical LLMs and fine-tuning * Proficiency in Python and SQL * Passion for data-driven scientific innovation * Excellent interpersonal, communication, and presentation skills Requisitos principales *

Compensaciones / Beneficios * Conceive, develop, and implement GenAI and ML solutions to support clinical trial operations * Fine-tune and adapt large language models (LLMs) for protocol analytics, trial similarity, data harmonization, and eligibility evaluation * Use operational data and optimization techniques to create tools for scenario development with cost and enrollment optimization and real-world data insights * Contribute to patient modeling and enrollment simulations for accurate enrollment projections * Communicate technical methods and results clearly to diverse audiences to drive decision-making Responsabilidades * Ph.D. in a quantitative discipline (e.g., computer science, statistics, biostatistics, health economics, biomedical informatics, epidemiology, applied mathematics) * 2+ years of industry experience delivering Data Science projects (predictive technologies, forecasting, optimization, NLP/AI/ML) * Hands-on experience with LLM application frameworks and tools (e.g., DSPy, LangChain) and clinical/medical LLMs and fine-tuning * Proficiency in Python and SQL * Passion for data-driven scientific innovation * Excellent interpersonal, communication, and presentation skills Requisitos principales *