Full-Stack Software Engineer II
PathAI
Boston, MA, United States of America • 20m ago • On-site
Mid
On-site
108,750 - 166,750 USD/yr
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Quick Facts
- Role: Full-Stack Software Engineer II
- Focus: Building and refactoring a SaaS platform for clinical trial workflows
- Work model: Hybrid in Boston, MA
Description
Build and refactor full-stack features for internal and external users while driving application architecture and engineering standards. Collaborate with product, design, machine learning, and infrastructure teams, and help ensure software quality through review, testing, and integration. Support reliability, data integrity, and compliance for clinical trial workflows and coordinate with clinical, QA, and regulatory teams.
Responsibilities
- Solve problems with code and deliver new features
- Refactor existing functionality to make it better
- Work across low-level systems and partner with the front-end team on the UI
- Drive application architecture aligned with the product roadmap
- Uphold high engineering standards: consistency, code review, testing, and integration
- Mentor and share knowledge with others
- Take responsibility for the quality of code produced by you and the team
- Contribute to a SaaS platform for clinical trial workflows with reliability, data integrity, and compliance
- Collaborate with clinical, QA, and regulatory teams for validation expectations and inspection readiness
Requirements
- Bachelor of Science or advanced degree in Computer Science (or equivalent)
- Experience across the full software development lifecycle using Python
- Experience designing and building Python-based applications (FastAPI or Django)
- Foundation in data structures, algorithms, and object-oriented (OO) design
- Ability to collaborate with a distributed team and work autonomously
- Proactive and able to learn quickly in a complex environment
Benefits
- Competitive salary range: $108,750–$166,750 (based on experience and location)
- Hybrid work model in Boston, MA
- Opportunity to make a significant impact on patient outcomes through AI-powered pathology
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