PathAI

HQ
Boston, Massachusetts, USA
Total Offices: 3
650 Total Employees
Year Founded: 2016

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Jobs at PathAI
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Recently posted jobs

8 Days AgoSaved
Hybrid
Boston, MA, USA
Artificial Intelligence • Healthtech • Machine Learning • Software • Biotech
As a Software Engineer II, you will solve problems, build features, collaborate with teams, and enhance the backend services for internal and external users, focusing on AI-powered applications.
14 Days AgoSaved
Remote or Hybrid
2 Locations
Artificial Intelligence • Healthtech • Machine Learning • Software • Biotech
The Clinical Trial Associate will monitor clinical trials, ensure compliance with regulations, support project management, and coordinate with external vendors.
14 Days AgoSaved
Hybrid
Boston, MA, USA
Artificial Intelligence • Healthtech • Machine Learning • Software • Biotech
The Senior Software Engineer will develop and maintain a full-stack software platform, collaborate with teams, uphold engineering standards, mentor colleagues, and contribute to a SaaS solution for clinical trials.
15 Days AgoSaved
Remote or Hybrid
2 Locations
Artificial Intelligence • Healthtech • Machine Learning • Software • Biotech
Join the PathAI team to develop and enhance a software platform focused on AI-powered pathology solutions, collaborating across teams and solving challenging problems.
19 Days AgoSaved
Hybrid
Boston, MA, USA
Artificial Intelligence • Healthtech • Machine Learning • Software • Biotech
Lead and optimize platform product initiatives at PathAI, collaborating with various teams to enhance user experience and product performance.
21 Days AgoSaved
Remote or Hybrid
2 Locations
Artificial Intelligence • Healthtech • Machine Learning • Software • Biotech
The Senior Software Engineer will develop Python-based applications, solve complex problems, collaborate across teams, and maintain high engineering standards.
15 Days AgoSaved
Remote or Hybrid
USA
Artificial Intelligence • Healthtech • Machine Learning • Software • Biotech
As a Database Specialist, you'll optimize ML data infrastructure, modernize ETL pipelines, and collaborate on analytics tools to enhance performance and scalability.