Agentic AI & Predictive Modeling Scientist (Drug Safety)

Pharmaceutical Company; South San Francisco (CA); On-site; USD 96,000 - 193,000; Full time

Job summary

Pharmaceutical Company in South San Francisco seeks a contractor with expertise in AI prototyping, ML, and predictive modeling to advance the DAISAE platform and predictive analytics teams. The role focuses on agentic AI, shared data foundations, and drug safety risk prediction across the product lifecycle.

You will prototype AI tools, build predictive models from multimodal biomedical data, and contribute to ontologies and knowledge graphs while collaborating with data scientists, safety

Qualifications

• Advanced degree in a quantitative field with a strong research background.
• Experience building predictive models using biomedical data.
• Hands-on experience with AI prototyping and ML workflows.

Responsibilities

• Prototype and evaluate AI tools and agentic AI capabilities in a rapid, iterative process.
• Develop predictive analytics for drug safety risk assessment across product lifecycle.
• Collaborate to create ontologies, knowledge graphs, and shared data foundations.

Skills

Predictive modeling

Machine learning

AI prototyping

Software engineering

Agile

Communication

Education

MSc or PhD in Data Science

MSc or PhD in Computer Science

MSc or PhD in Computational Biology

MSc or PhD in Biostatistics

MSc or PhD in Epidemiology

Job description

Pharmaceutical Company in South San Francisco seeks a contractor with expertise in AI prototyping, ML, and predictive modeling to advance the DAISAE platform and predictive analytics teams. The role focuses on agentic AI, shared data foundations, and drug safety risk prediction across the product lifecycle.

You will prototype AI tools, build predictive models from multimodal biomedical data, and contribute to ontologies and knowledge graphs while collaborating with data scientists, safety