Jobs at Evinova

• Own outbound prospecting into pharma, biotech, and CRO accounts through email, phone, LinkedIn, and event follow-up
• Research target accounts and map buying groups across Clinical Development, Clinical Operations, Data and Digital, and Regulatory

• Regularly review pull requests, provide substantive code-level feedback, and enforce quality standards across squads.
• Make and own architectural decisions for the eCOA platform, including API design, data models, service boundaries, and infrastructure choices.

• Product vision & roadmap for URD — the reporting and analytics layer across Unify, from compliance and operational dashboards to sponsor-facing insight.
• Compliance dashboards as a priority — for example participant compliance, clinician/site notice compliance, questionnaire responses and scoring, safety instruments, data changes, and study close-out — giving teams a real-time view of trial conduct and quality.

• Product vision & roadmap for URD — the reporting and analytics layer across Unify, from compliance and operational dashboards to sponsor-facing insight.
• Compliance dashboards as a priority — for example participant compliance, clinician/site notice compliance, questionnaire responses and scoring, safety instruments, data changes, and study close-out — giving teams a real-time view of trial conduct and quality.

WHY JOIN US?Evinova is a health-tech business focused on accelerating better health outcomes by advancing digital transformation across the life sciences sector.

• Use AI coding assistants, agentic development workflows, and other AI-enabled engineering tools as part of your day-to-day development process.
• Explore practical ways to use AI to accelerate coding, testing, debugging, documentation, and code review.

• Define and own the product vision, strategy, and multi-year roadmap for an AI-native product, from first principles through scale.
• Develop a deep, first-hand understanding of our users, their problem spaces, and their day-to-day workflows—pinpointing where the product can deliver step-function impact rather than incremental gains.

• Design and evolve data models that power our AI-native products
• Build and guide architectures supporting LLMs, generative AI, and RAG pipelines

• Regularly review pull requests, provide substantive code-level feedback, and enforce quality standards across squads.
• Make and own architectural decisions for the eCOA platform, including API design, data models, service boundaries, and infrastructure choices.

• Drive the creation of proactive capability and process enhancements that ensures enduring value creation and analytic compounding interest.
• Design and implement resilient cloud Genereative AI agent operational capabilities to maximize our system A-bilities (Learnability, Flexibility, Extendibility, Interoperability, Scalability).