Senior Full-Stack Engineer — AI-Powered Clinical Platform

Evinova

Gaithersburg (MD)

On-site

USD 110,000 - 150,000

Full time

5 days ago
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Benefits offered by this job

401(k) plan
Paid vacation
Paid holidays
Paid leaves
Medical insurance
Prescription drug coverage
Dental insurance
Vision insurance
Short-term incentive bonus
Equity-based long-term incentive

Job summary

Evinova is seeking a software engineer to develop and ship full-stack features for the Study Designer product, from design through production deployment. You will collaborate with product and domain experts to translate clinical trial requirements into scalable software solutions.

Candidates should have a Bachelor's in CS or Engineering and 5+ years of hands-on production systems experience, with proficiency across the full stack and the ability to leverage AI tooling to speed development while

Qualifications

  • Requires a Bachelor's degree in Computer Science or Engineering and over 5 years of hands-on experience shipping production systems.
  • Proficient across the full stack and capable of using AI tools to accelerate development while maintaining high quality standards.

Responsibilities

  • Develop and ship full-stack features for the Study Designer product from design through production deployment.
  • Collaborate with product and domain experts to translate clinical trial requirements into scalable software solutions.

Skills

Full stack development
React
TypeScript
Node.js
Python
FastAPI
AI tooling
System design
CI/CD
Code review
Infrastructure as code
RAG pipelines

Education

Bachelor's degree in Computer Science or Engineering

Tools

AWS
Docker
Kubernetes
PostgreSQL

Job description

Evinova is seeking a software engineer to develop and ship full-stack features for the Study Designer product, from design through production deployment. You will collaborate with product and domain experts to translate clinical trial requirements into scalable software solutions.

Candidates should have a Bachelor's in CS or Engineering and 5+ years of hands-on production systems experience, with proficiency across the full stack and the ability to leverage AI tooling to speed development while

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