to lead the development of the longitudinal clinical intelligence engine at the core of GenTraceDx.
This role focuses on designing and implementing systems that continuously interpret genomic and clinical data in the context of evolving scientific and clinical evidence.
You will work at the intersection of:
clinical data
AI systems
real-world oncology applications
Responsibilities
Design and build AI/ML systems for longitudinal interpretation of genomic and clinical data
Develop pipelines that integrate multiomic inputs (WES, RNA) with external knowledge sources
Build and optimize models that support continuous reanalysis as new evidence emerges
Implement agentic or retrieval-based systems to incorporate real-time updates from literature, clinical trials, and curated databases
Collaborate with bioinformatics, clinical, and software ...