Full-Stack Engineer for Life Sciences R&D & AI Tools

Excelra; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Excelra is seeking a hands-on Full Stack Developer to build user-facing applications and lightweight services atop the R&D Data & AI ecosystem. You will collaborate with product, UX, data engineers/scientists, and platform teams to enable access, submission, exploration, and operationalization of scientific data and AI capabilities.

The role blends application engineering, workflow automation, and cloud practices to deliver secure, scalable solutions in a multi-cloud environment.

Qualifications

• Bachelors or Masters in CS/Software Eng or related field.
• 5+ years building full-stack apps (frontend + backend).
• Bootcamp certificate or equivalent with strong portfolio.
• Self-taught candidates with demonstrable portfolio considered.
• Backend with Python or Node.js + PostgreSQL; frontend with React.
• Experience delivering Power Apps / Power Platform solutions.
• Cloud engineering practices: CI/CD, automation, monitoring.
• Experience in multi-cloud environments helpful.

Responsibilities

• Develop and maintain full-stack web applications.
• Collaborate with product, UX, data scientists, and platform teams.
• Design secure, scalable services in a multi-cloud setup.
• Implement CI/CD pipelines and deployment automation.
• Build and deploy Power Apps / Power Platform solutions.

Skills

Full-stack development

Python

Node.js

React

API design

Power Apps

CI/CD

Deployment automation

Education

Bachelor's or Master's degree in CS or related field

Coding bootcamp certificate with portfolio

Tools

React

Power Apps / Power Platform

PostgreSQL

CI/CD tooling

Cloud deployment

Job description

Excelra is seeking a hands-on Full Stack Developer to build user-facing applications and lightweight services atop the R&D Data & AI ecosystem. You will collaborate with product, UX, data engineers/scientists, and platform teams to enable access, submission, exploration, and operationalization of scientific data and AI capabilities.

The role blends application engineering, workflow automation, and cloud practices to deliver secure, scalable solutions in a multi-cloud environment.