Data Scientist

vueverse.

Hyderabad • Not disclosed

23 hours ago

Remote

About the job

Role Overview We are seeking a Data Scientist with strong expertise in clinical trial analytics to support feasibility analysis and site selection initiatives. The ideal candidate will combine data science, AI/ML, and agent-based automation capabilities to develop predictive models and intelligent workflows that enhance clinical trial planning and operational decision-making. Key Responsibilities • Develop and implement analytics models and AI-driven solutions to support clinical trial feasibility and site selection. • Build predictive models and decision-support tools leveraging clinical trial operational data. • Design and implement AI agent-based workflows and automation frameworks to improve data analysis and operational insights. • Work closely with clinical operations, data management, and trial teams to translate analytical insights into actionable strategies. • Develop and optimize data pipelines and analytical models using Python and SQL. • Deploy scalable analytics solutions using modern AI/ML frameworks and cloud-based platforms. Required Skills & Experience • 5+ years of experience in data science or analytics within clinical trial operations. • Strong experience with clinical trial feasibility analytics and site selection methodologies. • Proficiency in Python and SQL for data processing, modeling, and analytics. • Hands-on experience with AI/ML frameworks and predictive modeling techniques. • Experience developing AI agents, workflow automation solutions, or intelligent analytics systems. • Prior experience working in a CRO, pharmaceutical, or clinical research environment. • Strong communication and stakeholder collaboration skills with clinical and cross-functional teams. Preferred / Nice-to-Have Skills • Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG) pipelines. • Exposure to multi-agent systems and AI orchestration frameworks. • Familiarity with cloud platforms (AWS, Azure, or GCP). • Experience with containerized deployment (Docker, Kubernetes).