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Senior Software Engineer, Fullstack

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Senior Software Engineer, Fullstack in USA new

  • Boston, MA

Responsibilities

  • Build new features for internal and external users and refactor existing functionality.
  • Drive application platform architecture in alignment with team needs and future product roadmaps.
  • Own the full software development lifecycle and the quality of software produced by the engineer and team.
  • Collaborate with product, design, machine learning, infrastructure, clinical, QA, and regulatory teams.
  • Support the reliability, data integrity, compliance, validation, and inspection readiness of a clinical-trial SaaS platform.
  • Uphold engineering standards through code review, testing, integration, and consistency across codebases.
  • Mentor teammates, learn continuously, and share knowledge.

Requirements

  • Bachelor of Science degree in Computer Science, Software Engineering, or a closely related technical field.
  • 5+ years of full-lifecycle development experience.
  • Demonstrated experience designing and building Python-based applications with FastAPI or Django.
  • Experience with modern frontend JavaScript frameworks such as React, Vue, or equivalent.
  • Foundation in data structures, algorithms, and object-oriented design.
  • Demonstrated cloud platform experience with AWS.
  • Ability to handle complex tasks, learn quickly, collaborate with distributed teams, work autonomously, and solve problems in a fast-paced environment.
  • Strong interpersonal and communication skills, including the ability to attend client-facing meetings and explain technical concepts to non-experts.
  • Preferred experience includes healthtech, GitLab CI, Docker, Kubernetes, infrastructure-as-code, and managing multiple projects efficiently.

Benefits

  • Hybrid position based in Boston, MA.
  • Relocation benefits are not available.
  • Expected base salary range is $127,500-$195,500.

Salary: $128k - $196k/yr

PathAI

PathAI builds AI-powered pathology software and diagnostic services for biopharma, pathology labs, and health systems to support disease detection, clinical trials, and companion diagnostics. Offerings include machine-learning models for digital histopathology and a CLIA-certified lab operation. ...

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