Data Analyst (Predictive Modeling)

We are seeking a Data Analyst (Predictive Modeling) for a 6-month contract role based in San Francisco, California, with remote options available. You will support AI rapid prototyping and predictive modeling efforts for a DAISAE platform focused on drug safety risk prediction across the product lifecycle.

Responsibilities

• Develop and prototype predictive models and machine learning solutions for drug safety applications
• Design and implement agentic AI systems, large language model (LLM) tools, and MCP (Model Context Protocol) tools
• Process, analyze, and model biomedical datasets including omics data, clinical trial data, real-world data (RWD), and in vitro/in vivo experimental data
• Collaborate with cross-functional teams using Agile methodologies
• Support rapid prototyping cycles and iterative development of AI-driven safety risk prediction capabilities

Qualifications

• Required

• Master's degree or PhD in Data Science, Computer Science, Computational Biology, Bioinformatics, Biostatistics, Epidemiology, or a related quantitative field

• 3+ years of hands-on experience developing predictive models, machine learning solutions, and AI prototyping

• 3+ years of experience developing agentic AI systems, LLM tools, and MCP tools

• 3+ years of proficiency in handling biomedical datasets (omics, clinical trials, RWD, or in vitro/in vivo data)

• 2+ years of experience working with Agile methodologies

• Preferred

• 5+ years of background in pharmacovigilance, drug safety, toxicology, or quantitative risk management