Predictive Modeling & AI Prototyping Contractor - Remote

BEPC Inc. - Business Excellence Professional Consulting; South San Francisco (CA); Hybrid; USD 84,000 - 98,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Job summary

BEPC Inc. is seeking a Predictive Modeling Contractor in South San Francisco, CA, to support AI and predictive analytics across drug safety lifecycles.

The role focuses on rapid prototyping of agentic AI capabilities, ontologies, and knowledge graphs, with cross‑functional collaboration to deliver scalable capabilities. Ideal candidates will have MSc/PhD-level expertise in data science or related fields, hands‑on ML and predictive modeling, and experience with biomedical datasets and AI tooling.

Qualifications

• An MSc or PhD in a quantitative field related to data science or biology.
• Strong background in predictive modeling, ML, and AI prototyping.
• Experience building agentic AI systems and MCP tools.

Responsibilities

• Prototype AI tools and MCP components for rapid evaluation.
• Develop predictive models using multimodal biomedical data.
• Translate prototype findings into scalable architecture.
• Collaborate with data scientists and safety teams to align with goals.
• Contribute to shared foundations like ontologies and knowledge graphs.

Skills

Predictive modeling

Machine learning

AI prototyping

Agentic AI

LLM tools

MCP tools

Biomedical data

Data science tools

Education

MSc or PhD in Data Science

Quantitative field

Tools

Python

R

TensorFlow/PyTorch

Knowledge graphs

Ontology design

Job description

BEPC Inc. is seeking a Predictive Modeling Contractor in South San Francisco, CA, to support AI and predictive analytics across drug safety lifecycles.

The role focuses on rapid prototyping of agentic AI capabilities, ontologies, and knowledge graphs, with cross‑functional collaboration to deliver scalable capabilities. Ideal candidates will have MSc/PhD-level expertise in data science or related fields, hands‑on ML and predictive modeling, and experience with biomedical datasets and AI tooling.