Why Atrix

Medical affairs teams at pharma companies are drowning in unstructured data—MSL field notes, conference insights, post-market evidence, and real-world studies scattered across dozens of systems. By the time insights reach clinicians, they’re often stale or lost entirely.

Atrix changes that.

We help medical affairs teams extract signal from messy, unstructured sources and turn it into reliable, actionable insights—so emerging evidence reaches clinicians faster and therapies are delivered more effectively. We work with top-20 pharma companies and consistently win head-to-head against much larger competitors because we listen deeply to customers and build what they actually need.

Who We Are

Atrix is a small, senior team with backgrounds at Google, a16z, Plaid, and Kickstarter. We’re seed-stage, NYC-based, and work onsite. Everyone here has built and scaled products before—and everyone is hands-on.

The Role

Forward Deployed Engineers at Atrix sit at the intersection of engineering, implementation, and customer value. You’ll work directly with enterprise pharma and biotech customers to translate complex, real-world scientific workflows into structured, AI-powered systems that deliver trustworthy insights.

Because Atrix supports high-stakes decisions—clinical evidence assessment, safety monitoring, and real-world data interpretation, this role is central to our mission. You’ll ensure customers achieve value quickly, reliably, and repeatedly, while shaping how our product evolves in production.

This is a highly ownership-driven role with direct impact on customer outcomes and product direction.

What You’ll Own

Customer Impact & Deployment

• Deeply understand customer workflows, scientific context, and success criteria
• Configure and deploy Atrix templates, data pipelines, and AI workflows
• Own implementation across multiple enterprise accounts
• Ensure accuracy, reliability, and trust in AI-generated outputs
• Serve as the primary technical owner for key customer relationships

Engineering & Prototyping

• Rapidly prototype customer-specific workflows, demos, and GTM experiments
• Implement structured AI workflows tailored to pharma and medical use cases
• Perform light data engineering (cleaning, transforming, mapping datasets into Atrix abstractions)

Quality, Accuracy & Risk

• Own business-sense QA and data validation across deployments
• Identify risks, implement guardrails, and ensure output accuracy
• Track metrics where implementation quality directly affects outcomes

Product & Process

• Translate customer needs into structured product requirements
• Provide continuous product feedback informed by real-world usage
• Create documentation, SOPs, and best practices that scale
• Enable internal teams by documenting workflows and training new FDEs

Compensation Range: $130K - $150K