Lead Software Developer

Toronto/San Francisco: Research and Development - Full Time

Job Description

Oncoustics is a unique and innovative player in the medical AI space today and is working to address the biggest issues in healthcare today:

  • decentralizing healthcare
  • early detection, intervention and prevention of disease
  • lowing costs and increasing access to care
  • personalizing medicine by enabling low cost surveillance 

Together, we’re on a journey to revolutionize healthcare and make a significant difference in the world.  

The lead software developer will help shape product software architecture and development processes for Oncoustics’ clinical solutions. In typical startup fashion this is a multi-faceted role: primarily software development, with a healthy amount of solution and system design, and some team leadership. You should be excited to design and build clinical solutions that delight clinicians and patients. You should also be interested in innovation, a fast pace, teamwork and collaboration; and you should not be intimidated by rapid change.

Responsibility

  • Responsible for working with broader development team to meet delivery objectives
  • Hands on development work in mobile/frontend solutions, backend/cloud infrastructure, and ML deployment
  • Work across product management and development to turn feature requirements in to technical specifications
  • Lead decision-making around cloud and mobile architectures; help design solutions with a platform-based approach to facilitate development of multiple products
  • Collaborate with product management and overall team in development of product and infrastructure roadmaps
  • Produce diagrams and mockups to facilitate understanding across business and technical teams
  • Perform problem investigations and monitor systems for defects by inspecting data and reviewing error logs
  • Run code reviews and help ensure quality through established QA processes
  • Perform other job duties as assigned

Requirements

  • Bachelor’s degree with a major in Engineering or other related majors
  • At least 5 years of experience in software development
  • Experience with full stack system design, spanning mobile and cloud
  • Experience developing for and deploying a cloud-based commercial solution
  • Experience deploying AI, that uses GPUs, in the cloud
  • Experience with mobile development and release to app store
  • Experience leading a team of other developers from project concept through development, QA, and release
  • Able to take a complex problem and break it in to discrete components divided out amongst a team
  • Effective verbal and written communication skills
  • Analytical problem-solving skills
  • High degree of pride in your work
  • Additional preferred skills:
    • Experience working with Swift, Java, or Node.js
    • Experience with AWS, Google Cloud (GCP), Azure
    • Experience deploying AI solutions
    • Experience in the healthcare industry
    • Experience with HIPAA, QMS, SOC2
    • Comfortable speaking and working directly with customers
    • Startup experience

Our culture and work environment:
Oncoustics offers a flexible work environment and attractive benefits in a fast moving and exciting startup culture.  Our teams are international and multicultural. We have people in Toronto, Calgary, SF Bay Area, Egypt, Europe and Asia. We are dedicated to diversity and advancing the career growth of all our team.  Come and join in creating the future of healthcare!

About Oncoustics:
Oncoustics is creating and deploying advanced AI solutions for low cost, non-invasive surveillance, diagnostics, and treatment monitoring of diseases with high unmet clinical need.  Unlike other players in the space, we are not doing image recognition.  Instead, we apply AI to raw ultrasound signals from readily available handheld ultrasound devices to rapidly differentiate healthy versus diseased tissues.  There's a wealth of information in these raw signals and our approach reveals novel biomarkers that can be aligned with existing standards and categorization systems.  And as our data is unique and growing is part of our IP - we're hard to copy.

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