AI integration into existing primary care medical record software - BC-972

Project type: Innovation
Desired discipline(s): Engineering - computer / electrical, Engineering, Computer science, Mathematical Sciences
Company: Bright Health Solutions Society
Project Length: 6 months to 1 year
Preferred start date: 01/05/2026
Language requirement: English
Location(s): BC, Canada
No. of positions: 1
Desired education level: Postdoctoral fellow
Open to applicants registered at an institution outside of Canada: No

About the company: 

At Bright Health, we’re inspiring transformation in health care.
We design and build software products and solutions that aim deliver the best patient and provider experiences. We help position our customers to deliver optimum patient care and improve outcomes. Why? Because we care about the future of healthcare in Canada.

Describe the project.: 

Bright Health Solutions Society is preparing to extend its EMR (Electronic Medical Record) software featureset to utilize the expanding power of AI.  Specifically, architecting and building an internal API to support a variety of internal products (EMR’s, PHR) connecting to different external AI services (ambient scribes, audio transcription, natural language processing, etc.).  This will entail evaluating different clinical processes and understanding their needs, assessing a variety of LLM's (and their API's) against requirements for the handling of health data, developing the internal API to utilize different partners, and developing AI applications.  This work will be done iteratively, utilizing agile methodologies in order to deliver high quality capabilities to users in increments.

Required expertise/skills: 

Individuals that will thrive in this endeavour will have background in software development (C#), a good understanding of building and utilizing API's for software integration and a deep understanding of a variety of LLM's; how they are trained, what they are optimized for and experience with building prompts to achieve high quality results.

Key skills:
- Strong written and communication skills
- Ability to perform high quality research
- Software development skills
- Solid understanding of LLM’s and how to build AI applications on them
- Experience with natural language processing would be an asset
- Experience within primary healthcare would be an asset