Phd in quantitative field or equivalent experience
Production ml/ai system deployment experience
Generative ai and multi-agent systems expertise
Evinova aims to boost clinical trial success by 20% and cut development time by 3 years using advanced algorithms and GenAI
Job Summary
Evinova aims to boost clinical trial success by 20% and cut development time by 3 years using advanced algorithms and GenAI.
The role requires blending forecasting, optimization, and evidence synthesis to drive transparent recommendations for clinical trial design.
Candidates must be generalists comfortable working outside their existing experience with a focus on building with depth rather than just wrapping APIs.
Matching Summary
Evinova aims to boost clinical trial success by 20% and cut development time by 3 years using advanced algorithms and GenAI.
Salary
Competitive; Not specified; Excellent Benefits
Skills & Requirements
Must-have
PhD in quantitative field or equivalent experience
Production ML/AI system deployment experience
Generative AI and multi-agent systems expertise
Python development with production sensibilities
Cloud architecture on AWS with containers
Agentic design patterns including RAG and guardrails
Nice-to-have
Domain knowledge in drug development and clinical trials
Experience with secure compliant RAG pipelines
Hands-on multi-agent orchestration tools like LangGraph
Startup-pace experience with rapid iteration
Open source contributions or community involvement
Key Requirements
Foundation Ph.D. or equivalent professional experience
Previous industry experience shipping applied ML/AI products
Strong Python skills with testing and observability
Experience with Docker, FastAPI, and CI/CD pipelines