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 capabilitiesto 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 up-to-date 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 Lang Chain, Llama Index, 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).