Modeling and Simulation Module Developer - Data & AI Acceleration (Hybrid)
Core
Build, deploy, and maintain Modeling & Simulation (M&S) and AI solutions to automate and augment Data & Statistical Sciences capabilities for development decision-making.
Role type
Senior IC Machine Learning Engineer (M&S & Agentic AI)
Builds
Production-ready M&S and AI tools, R packages, interactive dashboards, and agentic AI frameworks for clinical development.
Domain
Clinical development, trial design, Data & Statistical Sciences
Deliverable
production ML models | product features | dashboards & analysis
Required skills
R development, agentic AI development (tool-use agents, orchestration, RAG), statistical analysis, clinical trial design concepts, software engineering best practices (CI/CD, testing), solution architecture, benchmark test set creation
Preferred skills
Experience with deterministic vs. LLM-powered workflow trade-offs, iterative stakeholder collaboration
Technologies
R, agentic AI frameworks, orchestration frameworks, retrieval-augmented generation
Responsibilities
Develop and maintain solutions for prioritized M&S and AI use cases; Build tools addressing adoption gaps; Conduct feasibility assessments and architect solution design; Create and maintain comprehensive benchmark test sets; Maintain and iterate on deployed tools based on feedback; Translate requirements into production-ready solutions.
Seniority
Senior, hands-on IC
