Clinical Solutions Developer

2 days ago


Sydney, New South Wales, Australia beBeeSoftware Full time $150,000 - $180,000
About Heidi

Heidi is a healthtech startup on a mission to halve the time it takes to deliver world-class care. Our goal by 2050 is for every clinician to practice with AI systems that free them from administrative burdens and increase the quality and accessibility of care to patients across the world.

We are an eclectic bunch of inventors, builders, scientists, nurses, doctors, mathematicians, designers, creatives, and high-agency executors who achieve in 6 months what it takes our competitors 4 years to do.

In just 12 months, we supported 20 million patient consults, and we're now powering more than 1 million consults every week.

The Role

You will work closely with our Engineering Manager for Transcription and Note Generation and team as a Full Stack Software Engineer who will help create AI-powered solutions that transform clinical conversations into structured medical documentation.

You will thrive in dynamic environments and appreciate the collaborative, flat-structured work style we offer. You're interested in learning about the nuances of developing AI solutions for healthcare internationally.

  • You will build delightful scribe experiences for clinical conversations, helping clinicians focus on their patients.
  • You will collaborate with our AI/ML team to implement medical speech transcription and note generation capabilities.
  • You will work with APIs and services that power our transcription and note generation features.
  • You will contribute to systems that ensure accuracy and reliability in medical documentation generation.
  • You will help with performance improvements to enhance user experience in clinical settings.
  • You will learn about Heidi's overall architecture and adopting practices for creating reliable and maintainable systems.
What We Look For
  • Two or more years of professional software engineering experience, with strong skills in React and Typescript.
  • Experience working with, or theoretical knowledge of systems that integrate with ML/AI models.
  • Experience working with APIs, distributed systems, and cloud infrastructure.
  • A growth mindset—you're eager to learn about reliability and performance.
  • Bonus: Interest in healthcare, willingness to learn medical terminology, or curiosity about speech-to-text systems.


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