Lead Applications Developer - Regeneron Genetics Center

Regeneron Pharmaceuticals•Tarrytown, GA

5d•$109,900 - $179,300•Hybrid

About The Position

The Regeneron Genetics Center (RGC) is one of the largest human genetics sequencing programs in the world. We study human DNA at massive scale to understand why diseases happen and how we can stop them. Using genetics to improve human health, our research has contributed directly to medicines helping patients today. The RGC Information Technology team builds and maintains shared services, platform tooling, and APIs that our research teams depend on. We approach development with an AI-first mindset, utilizing LLM-powered tooling to move faster, explore more ideas and quickly turn complex problems into working solutions for our scientists.

Requirements

Bachelor’s Degree or higher with at least 4 years of relevant IT experience building cloud-native applications.
Hands-on experience with Python, TypeScript.
REST API design and development, service integration patterns.
LLM-assisted development tools (e.g. Claude Code, GitHub Copilot), AI/ML service integration.
PostgreSQL or MySQL, Redshift or Snowflake, ETL orchestration.
Docker, AWS cloud services.

Responsibilities

API and service development across a shared platform that research teams use to access and work with large-scale genetic data.
Cloud-based data pipeline work on AWS, keeping high-volume genomic data moving reliably and performantly.
Using AI tooling as part of your day-to-day development workflow – from LLM-assisted coding to reviewing and supporting AI-powered capabilities on the platform.
Solid fundamentals at the API and data layer. You’ve built production APIs, integration services, and pipelines in the cloud as microservices.
Comfortable with AI-first development. You use tools like Claude Code as a core part of how you work — not occasionally, but throughout planning, implementation, and review.
Good technical depth across the stack. API design patterns, distributed systems, cloud-native development on AWS — you can contribute without needing everything handed to you.
Works well as part of a team. Decisions here are collaborative. You do good work in that kind of environment.
Cares about quality seriously. You write things that can be tested and maintained.
Working directly with scientists and engineers to understand requirements and deliver meaningful solutions to improve our scientific discovery process.