Predictive Modeling Contractor

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 is actively looking for a Predictive Modeling Contractor in South San Francisco, CA!

W2 Contract – 13 months with possible extensions!

Benefits include medical, dental, vision, and life insurance.

Pay Rate: $61.00 – $71.07/hour – Determined based on experience.

Work Model: South San Francisco, CA preferred; remote work may be considered for qualified candidates based on role requirements and business needs.

Work Location: South San Francisco, CA 94080, with potential remote flexibility.

Note: This is a W2 only role — C2C, C2H will not be considered.

Summary of the Position

BEPC is seeking a highly motivated Predictive Modeling Contractor to support our client's AI platform and predictive analytics initiatives, with South San Francisco, CA as the preferred location. This role will support the development of shared data and technical foundations, including ontologies and knowledge graphs, rapid prototyping of agentic AI capabilities, and advancement of predictive models for drug safety risk prediction throughout the product lifecycle.

The ideal candidate will combine expertise in predictive modeling, machine learning, and AI rapid prototyping with hands‑on experience working with biomedical datasets. The position involves cross‑functional collaboration to develop reusable technical capabilities and translate prototype findings into scalable architectural and platform requirements.

Main Duties and Responsibilities

• AI Prototyping and MCP Tool Development: Rapidly explore, evaluate, and prototype emerging AI tools and agentic capabilities, including developing Model Context Protocol (MCP) tools and AI agent integrations.
• Predictive Modeling: Build and refine predictive models using multimodal datasets, including in vitro, in vivo, omics, clinical trial data, real‑world data (RWD), and spontaneous safety reports.
• Drug Safety Risk Prediction: Develop predictive modeling capabilities supporting risk evaluation from early molecule‑level assessment through late‑stage development and post‑marketing patient safety.
• Architecture and Platform Design: Translate feasibility findings and prototype evaluations into concrete architectural designs and platform requirements for shared data and technical foundations.
• Shared Technical Foundations: Co‑develop reusable technical capabilities, including ontologies and knowledge graphs, to support predictive analytics and AI initiatives.
• Agile Prototyping and Governance: Collaborate in an agile environment to prototype reusable technical capabilities before transitioning components to technical teams for formal validation, compliance, and production rollout.
• Cross‑Functional Collaboration: Partner with data scientists, safety scientists, and technical stakeholders to ensure technical execution aligns with business priorities.

Main Qualifications

• Education: 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, Large Language Model (LLM) tools, and Model Context Protocol (MCP) tools.
• Proficiency in handling biomedical datasets, including omics, clinical trials, real‑world data (RWD), or in vitro/in vivo data.
• Agile prototyping mindset with software engineering skills tailored to data science.
• AI‑native approach to problem‑solving, with adaptability to rapidly evolving frameworks and technologies.
• Proactive attitude and strong communication skills suitable for global, matrixed team environments.

Preferred Qualifications

• Background in pharmacovigilance, drug safety, toxicology, or quantitative risk management is highly desirable.

About BEPC

BEPC Inc., founded in 2007, is a 100% employee‑owned company providing top‑tier consulting and staffing solutions across industries like technology, engineering, manufacturing, and project management. At BEPC, we are driven by innovation and a commitment to excellence. We take pride in fostering a collaborative and innovative environment where our team members thrive. With competitive benefits, including medical, dental, vision, and life insurance, BEPC is dedicated to supporting our employees' personal and professional growth.