Predictive Modeling Contractor

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.

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.

• 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.

• 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.

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

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.