Software Engineer II, Fullstack

PathAI, Inc.
Boston, MA, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$108,750 - $166,750
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Computing Platforms Software as a Service Cloud Computing Continuous Integration Data Integrity Data Structures Django Web Framework Human-Computer Interaction Python (Programming Language)
+16 more
PostgreSQL Machine Learning Object-Oriented Software Development Software Engineering Fastapi Vue.js Amazon Relational Database Service Containerization Gitlab-ci Kubernetes Information Technology Apache Kafka Amazon Simple Queue Service (SQS) AWS EKS GXP Docker

Job description

PathAI’s mission is to improve patient outcomes with AI-powered pathology.

Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes.

We’re looking for skilled and experienced engineers to join our team and help lay the groundwork for our growing software platform. We believe in using the best tool for the job. At PathAI, we are constantly evaluating our tech stack and our current tools consist of:

  • Python
  • Vue.js
  • Django + DRF
  • Docker
  • AWS: EKS, S3, RDS/PostgreSQL, SQS, MSK/Kafka, * Build new features for internal and external users, and refactor existing ones to make them better.
  • Work with a wide range of systems, processes, and technologies to solve problems in sustainable ways. Sometimes you’ll be neck-deep in low-level systems, and other times you’ll be pairing up with the front-end team on the user interface.
  • Drive the architecture of our application platform, considering the team and our future product roadmap.
  • Collaborate with product, design, machine learning, and infrastructure teams.
  • Drive and uphold high engineering standards, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated.
  • Mentor, learn, and share knowledge with others along the way.
  • Take responsibility for the quality of the code produced by you and the team.
  • Contribute to a SaaS platform used in clinical trial workflows, ensuring reliability, data integrity, and compliance with industry standards.
  • Collaborate with clinical, QA, and regulatory teams to ensure software changes meet validation expectations and support inspection readiness.

Requirements

Software Engineering, Patient Care, Pathology, Artificial Intelligence (AI), Analysis Skills, Translational Research, Clinical Trial, Cancer, Disease Treatment, Histopathology, * You have a Bachelor of Science or an advanced degree in Computer Science or equivalent.

  • You have some experience working across the full software development lifecycle using Python..
  • You are proactive and have demonstrated the ability to learn quickly in a complex space.
  • You have experience and skills in designing and building python-based (FastAPI or Django) applications.
  • You have a demonstrated foundation in data structures, algorithms, and OO design.
  • You have the ability to collaborate with a distributed team and to work autonomously on projects.

Preferred:

  • You have a BS in Computer Science, Software Engineering or closely related technical field.
  • You have 2-4 years of full life cycle development experience.
  • You have demonstrated problem-solving skills and the ability to work in a fast-paced, agile environment.
  • You have Cloud Platform experience (AWS); knowledge of some IaC framework
  • You have hands-on experience with CI/CD tools like GitLab CI.
  • You have knowledge of containerization technologies like Docker and container orchestration tools like Kubernetes.

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