Remote Predictive Modeling Contractor - AI Prototyping

Spectraforce Technologies, Inc.

South San Francisco (CA)

Remote

USD 96,000 - 165,000

Part time

8 days ago

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Job summary

Spectraforce Technologies, Inc. seeks a Predictive Modeling Contractor to advance AI prototyping and predictive modeling for the DAISAE platform.

The role emphasizes rapid tool evaluation, ontology and knowledge-graph foundations, and multi-modal data integration to support drug safety risk prediction across development stages. Candidates should hold MSc/PhD in quantitative fields and demonstrate experience with agentic AI, LLM tooling, and biomedical datasets.

Qualifications

  • Advanced degree in data science, CS, computational biology, or related field.
  • Strong background in predictive modeling, ML, and AI prototyping.
  • Experience developing agentic AI systems and MCP/LLM tooling.
  • Experience handling omics, clinical trials, RWD, or biomedical data.
  • Agile prototyping mindset with data-science oriented software engineering.

Responsibilities

  • AI prototyping and tool development for MCP and DAISAE.
  • Build and refine predictive models using diverse biomedical datasets.
  • Translate feasibility findings into architectural design and platform needs.
  • Prototype reusable capabilities before transitioning to validation and production.
  • Collaborate with data scientists and safety scientists to align with priorities.

Skills

Predictive modeling
Machine learning
AI prototyping
Agentic AI systems
LLM tools
MCP tools
Biomedical datasets
Agile prototyping

Education

MSc or PhD in Data Science/CS/Bioinformatics

Tools

LLM tools
MCP tools

Job description

Spectraforce Technologies, Inc. seeks a Predictive Modeling Contractor to advance AI prototyping and predictive modeling for the DAISAE platform.

The role emphasizes rapid tool evaluation, ontology and knowledge-graph foundations, and multi-modal data integration to support drug safety risk prediction across development stages. Candidates should hold MSc/PhD in quantitative fields and demonstrate experience with agentic AI, LLM tooling, and biomedical datasets.

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