[Remote] Predictive Modeling Contractor (W2 role)

Note: The job is a remote job and is open to candidates in USA. Aequor is recruiting for an unnamed client seeking a contractor to support the DAISAE platform and predictive analytics subteams within the RDE 9 program. The role focuses on prototyping agentic AI capabilities, building predictive models for drug safety risk, and co-developing shared data and technical foundations.

Responsibilities

• AI Prototyping & MCP Tool Development: Rapidly explore, evaluate, and prototype emerging AI tools and agentic capabilities, specifically developing MCP tools and AI agent integrations for DAISAE
• Predictive Modeling: Build and refine predictive models using multi-modal datasets (including in vitro, in vivo, omics, clinical trial data, real-world data (RWD), and spontaneous safety reports) to enable risk prediction from early molecule-level evaluation to late-stage and post-marketing patient safety
• Architecture & Platform Design: Translate feasibility findings and prototype evaluations into concrete architectural design and platform requirements for shared data and technical foundations
• Co-Development & Governance Collaboration: Work in an agile way to prototype reusable technical capabilities before transitioning components to RDT (Roche Digital Tech) for formal validation, compliance, and production rollout
• Cross-Functional Alignment: Collaborate with data scientists, safety scientists, and RDT technical partners to ensure technical execution aligns with business priorities

Skills

• MSc or PhD in Data Science, Computer Science, Computational Biology, Bioinformatics, Biostatistics, Epidemiology, or a related quantitative field
• Strong expertise in predictive modeling, machine learning, and AI prototyping
• Hands-on experience developing agentic AI systems, AI Prototyping, LLM tools, and MCP (Model Context Protocol) tools
• Proficiency in handling biomedical datasets (omics, clinical trials, RWD, or in vitro/in vivo data)
• Agile prototyping mindset with software engineering skills tailored for data science
• “AI native” approach to problem-solving with adaptability to fast-moving frameworks
• Proactive attitude and strong communication skills suitable for global matrix team settings
• Background in pharmacovigilance, drug safety, toxicology, or quantitative risk management is highly desirable
• Preferred candidate will have pharma/biotech background

Benefits

• Remote work

Company Overview

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