About the job

At Atrix, we believe that breakthrough medicines begin with extensive research, vast amounts of data, and critical decisions made by leading medical teams within the foremost biopharma laboratories. These pivotal decisions dictate which treatments become available, how they are promoted to healthcare providers, and ultimately, when patients gain access to life-saving therapies.
We stand at a transformative juncture. The rise of AI-driven drug discovery, precision medicine, and a surge of real-world evidence have broadened the horizons of what is achievable. Yet, the teams dedicated to translating scientific advancements into patient access are overwhelmed by unmanageable data.
Our tools must evolve to meet the urgency of the moment. Atrix is pioneering AI solutions tailored for life sciences, ensuring the precision and rigor that biopharma demands.
Currently collaborating with top-tier pharmaceutical companies, we are rapidly scaling our efforts, all with the singular goal of ensuring that the right treatments reach the right patients sooner.
Role Overview
As a founding member of our engineering team, you will play a crucial role in developing the Atrix AI-native platform. You will design and implement features that simplify intricate healthcare and AI workflows, crafting intuitive and user-friendly interfaces trusted by scientific, medical, and commercial teams across leading pharmaceutical organizations.
From creating thoughtful front-end user experiences to building resilient backend systems, you will connect our AI core with tangible customer challenges, addressing issues that significantly enhance patient care.
We are in the process of constructing a modular, intelligent platform that integrates with customer-approved data sources, transforms chaotic and unstructured data through cutting-edge AI, and delivers structured, actionable insights that facilitate decision-making in regulated environments.
Your contributions will be actively utilized by medical, clinical, and commercial teams making critical decisions every day.
You will encounter complex engineering challenges in the following areas:
Performance — Handling extensive datasets simultaneously.
Security & Privacy — Managing sensitive customer data with utmost trust.
Explainability — Ensuring AI outputs are verifiable and traceable.
Composable UI/UX — Designing adaptable interfaces for diverse applications, from chat interfaces to dashboards and spreadsheets.
Join us in revolutionizing patient access and driving meaningful change in healthcare.

