Backend Engineer for Healthcare AI Platform

Hill Research; Princeton (NJ); On-site; USD 100,000 - 130,000; Full time

Job summary

Hill Research in Princeton, New Jersey is seeking a Backend Engineer to design and scale server-side infrastructure for their AI platform, TriClick™. In this role, you will be responsible for designing RESTful and GraphQL APIs, building data processing pipelines, and ensuring system security and compliance with healthcare regulations.

The ideal candidate has a solid background in backend development, strong proficiency in Python, Node.js, or Go, and familiarity with cloud services like AWS, GCP, or Azure. Join a collaborative team of scientists and engineers dedicated to driving clinical trial innovation.

Qualifications

• 3+ years of backend development experience.
• Strong proficiency in Python, Node.js, or Go.
• Experience with cloud services such as AWS, GCP, or Azure.
• Knowledge of database systems like PostgreSQL, MongoDB, Redis.
• Understanding of security best practices and healthcare compliance.

Responsibilities

• Design and implement RESTful and GraphQL APIs.
• Build data processing pipelines for clinical datasets.
• Ensure system security and compliance (HIPAA, SOC 2, 21 CFR Part 11).
• Optimize database performance and system scalability.
• Collaborate with AI/ML engineers on model serving infrastructure.

Skills

Backend development experience

Proficiency in Python

Proficiency in Node.js

Proficiency in Go

Experience with AWS

Experience with GCP

Experience with Azure

Knowledge of PostgreSQL

Knowledge of MongoDB

Knowledge of Redis

Understanding of security best practices

Understanding of healthcare compliance

Job description

Hill Research in Princeton, New Jersey is seeking a Backend Engineer to design and scale server-side infrastructure for their AI platform, TriClick™. In this role, you will be responsible for designing RESTful and GraphQL APIs, building data processing pipelines, and ensuring system security and compliance with healthcare regulations.

The ideal candidate has a solid background in backend development, strong proficiency in Python, Node.js, or Go, and familiarity with cloud services like AWS, GCP, or Azure. Join a collaborative team of scientists and engineers dedicated to driving clinical trial innovation.