AI/ML Engineer / Data Scientist (Predictive Modeling Contractor)

AI/ML Engineer / Data Scientist (Predictive Modeling Contractor) jobs in United States

The Fountain Group

• $60/hr - $71.07/hr

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

Benefits

• Open for 100% Remote Candidates; hybrid or occasional onsite work at the South San Francisco, CA office is also preferred.
• Referral bonus for any candidate hired.
• Staffing firm providing contingent workforce solutions.
• Tampa, Florida, USA
• https://thefountaingroup.com/
• Distribution of Different Job Fields Receiving Sponsorship
• Represents job field similar to this job
• Engineering and Development
• Management and Executive
• Legal and Compliance
• Marketing
• Customer Service and Support
• Accounting and Finance
• Trends of Total Sponsorships
• *2026
• (41)
• 2025
• (43)
• 2024
• (31)
• 2023
• (21)
• 2022
• (42)
• 2021
• 2020
• (14)
• Late Stage
• Leadership Team

Qualifications

• 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

Required skills

• AI Prototyping, Agentic AI Systems, LLM Tools, MCP Tools, Machine Learning, Predictive Modeling, Software Engineering for Data Science

Experience

• Mid level