AI Prototyping & Predictive Modeling Contractor Drug Safety

Lancesoft; South San Francisco (CA); Remote; USD 145,000 - 303,000; Full time

Job summary

Lancesoft seeks a Predictive Modeling Contractor to support the DAISAE platform and RDE 9 teams. The role focuses on AI rapid prototyping, data foundations, and predictive modeling across drug safety timelines, including early molecule evaluation through post-marketing phases.

Requires MSc/PhD in quantitative fields, strong ML/AI prototyping skills, and experience with multi-modal biomedical datasets. Remote options may be available for suitable candidates.

Qualifications

• Background in AI rapid prototyping and predictive modeling.
• Experience handling multimodal biomedical datasets (omics, clinical, RWD).
• Familiarity with agentic AI systems and MCP tool development.
• Agile prototyping mindset with software engineering for data science.

Responsibilities

• Prototype AI tools and MCP tool integrations for DAISAE.
• Build and refine predictive models using multimodal datasets to support safety risk prediction.
• Translate prototype findings into architectural requirements for shared data foundations.
• Collaborate with data scientists, safety scientists, and partners for alignment with priorities.
• Support governance, validation, and production rollout of components.

Skills

Predictive modeling

Machine learning

AI prototyping

Agentic AI

LLM tools

MCP tools

Biomedical data

Data science engineering

Education

MSc in Data Science

PhD in Computational Biology

Tools

Ontology tooling

Knowledge Graphs

Job description

Lancesoft seeks a Predictive Modeling Contractor to support the DAISAE platform and RDE 9 teams. The role focuses on AI rapid prototyping, data foundations, and predictive modeling across drug safety timelines, including early molecule evaluation through post-marketing phases.

Requires MSc/PhD in quantitative fields, strong ML/AI prototyping skills, and experience with multi-modal biomedical datasets. Remote options may be available for suitable candidates.