AI Modeling Scientist

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 an experienced AI Modeling Scientist to support predictive analytics in the pharmaceutical and biotechnology sector.

This role focuses on predictive modeling, machine learning, agentic AI development, and biomedical data analysis to advance drug safety risk prediction throughout the product lifecycle. The ideal candidate holds an MSc or PhD in a quantitative field with hands-on experience in LLM-based AI agents and MCP tools, and expertise in building predictive models using

Qualifications

• Master's degree (MSc) or PhD in Data Science, Computer Science, Computational Biology, Bioinformatics, Biostatistics, Epidemiology, or related quantitative field.
• Strong experience in predictive modeling, ML, and AI rapid prototyping.
• Hands-on experience developing agentic AI systems, LLM tools, and MCP integrations.
• Experience analyzing biomedical datasets (omics, clinical trial, RWD, in vitro/in vivo).
• Strong software engineering and prototyping skills for data science workflows.

Responsibilities

• Develop and optimize predictive models and ML solutions for drug safety and risk assessment.
• Analyze multimodal biomedical datasets (omics, clinical trial, RWD, in vitro/in vivo).
• Design and prototype agentic AI systems, LLM integrations, and MCP tools.
• Evaluate emerging AI technologies and develop rapid prototypes for feasibility.
• Support drug safety risk prediction from early research through post‑marketing surveillance.
• Develop reusable data and AI capabilities, including ontologies and knowledge graphs.
• Translate prototype findings into architecture, platform requirements, and scalable solutions.
• Collaborate with data scientists, safety scientists, software engineers, and stakeholders.
• Support agile development, experimentation, and iterative AI capability improvements.
• Prepare prototypes and docs for validation, compliance, and production.

Skills

Predictive modeling

Machine learning

Agentic AI

LLM tools

MCP integrations

Biomedical data analysis

Data science workflows

Data architecture

Team collaboration

Education

MSc/PhD in Data Science or related quantitative field

Tools

LLM tools

Model Context Protocol (MCP)

Job description

Employment Type: W2 Contract – 13 Months with Possibility for Extensions

Pay Rate: $61.00–$71.07/hour – Based on experience

Work Model: South San Francisco Preferred; Remote May Be Considered for Qualified Candidates

Benefits: Medical, Dental, Vision, and Life Insurance

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

Role Overview

BEPC is seeking an experienced AI Modeling Scientist to support our client's predictive analytics and artificial intelligence initiatives in the pharmaceutical and biotechnology industry.

This position focuses on predictive modeling, machine learning, agentic AI development, and biomedical data analysis to advance drug safety risk prediction throughout the pharmaceutical product lifecycle.

The ideal candidate has an MSc or PhD in a quantitative discipline, hands‑on experience developing LLM-based AI agents and Model Context Protocol (MCP) tools, and expertise in building predictive models using complex biomedical datasets.

Key Responsibilities

• Develop and optimize predictive models and machine learning solutions for drug safety and risk assessment.
• Analyze multimodal biomedical datasets, including omics, clinical trial data, real‑world data (RWD), in vitro/in vivo data, and safety reports.
• Design and prototype agentic AI systems, LLM integrations, and Model Context Protocol (MCP) tools.
• Evaluate emerging AI technologies and develop rapid prototypes to assess technical feasibility.
• Support drug safety risk prediction from early research through clinical development and post‑marketing surveillance.
• Develop reusable data and AI capabilities, including ontologies and knowledge graphs.
• Translate prototype findings into technical architecture, platform requirements, and scalable solutions.
• Collaborate with data scientists, safety scientists, software engineers, and technical stakeholders.
• Support agile development, experimentation, and iterative improvement of AI capabilities.
• Prepare prototypes and technical documentation for transition to formal validation, compliance, and production implementation.

Required Qualifications

• Master's degree (MSc) or PhD in Data Science, Computer Science, Computational Biology, Bioinformatics, Biostatistics, Epidemiology, or a related quantitative field.
• Strong experience in predictive modeling, machine learning, and AI rapid prototyping.
• Hands‑on experience developing agentic AI systems, Large Language Model (LLM) tools, and Model Context Protocol (MCP) integrations.
• Experience analyzing biomedical datasets, such as omics, clinical trial, real‑world, or in vitro/in vivo data.
• Strong software engineering and prototyping skills applied to data science workflows.
• Ability to evaluate emerging AI frameworks and translate technical findings into practical solutions.
• Understanding of data architecture, reusable technical capabilities, and scalable AI platforms.
• Strong analytical, problem‑solving, and communication skills.
• Ability to collaborate effectively within global, cross-functional, and matrixed teams.
• Self‑motivated, adaptable, and comfortable working in a fast‑paced, evolving AI environment.

Preferred Qualifications

• Experience in pharmacovigilance, drug safety, toxicology, or quantitative risk management.
• Experience developing predictive models for pharmaceutical research, clinical development, or patient safety.
• Familiarity with knowledge graphs, ontologies, and biomedical data integration.
• Experience transitioning AI prototypes into validated or production‑ready systems.
• Background in biotechnology, pharmaceutical research, or regulated healthcare environments.

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.