AI/ML Engineer / Data Scientist (Predictive Modeling Contractor)
Job Description
Job DescriptionThe Fountain Group is currently seeking an AI/ML Engineer / Data Scientist (Predictive Modeling Contractor) for a prominent client of ours. Open for 100% Remote Candidates. Prefer someone who can work Hybrid or go onsite occasionally at South San Francisco, CA office. Details for the position are as follows:
Pay Rate - $60 – 71.07/hr on W2
14 months Contract Role (HIGH Possibility for further extension)
Position Summary
We are seeking a contractor with a background combining AI rapid prototyping and Predictive Modeling to support the platform and predictive analytics subteams within the program. This role focuses on co-developing shared data and technical foundations (e.g. Ontologies, Knowledge Graphs), prototyping agentic AI capabilities, and advancing predictive models for drug safety risk prediction across the product lifecycle.
Key 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 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.
Qualifications & Experience
Education: MSc or PhD in Data Science, Computer Science, Computational Biology, Bioinformatics, Biostatistics, Epidemiology, or a related quantitative field. Minimum of a Masters Degree required.
Expertise in predictive modeling, machine learning, and AI prototyping.
Hands-on experience developing agentic AI systems, LLM tools, and MCP 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.
If you are interested in hearing more about the position, please respond to this posting with your resume attached.
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