Senior Knowledge Engineer

Working for a company like Smile Digital Health means supporting our mandate for #BetterGlobalHealth. We strive towards this goal every day, and the results can be seen in the impact of our innovative health data platform and data management solutions, which are used in over 15 countries.

Smile Digital Health makes it easy for healthcare stakeholders to collect and exchange data with our leading FHIR-based data liberation platform.

At its heart, the Smile platform enables people and organizations to better manage healthcare data.

Simply put, we help liberate healthcare data to ensure effective healthcare delivery across care teams and health systems. 

Apply today and find plenty of reasons to SMILE!

The Senior Knowledge Engineer is responsible for expressing medical specifications as data queries using software language designed to be accessible to non-technical individuals. These queries are employed by healthcare systems around the world to support healthcare providers in making the best clinical decisions possible and to measure the quality of healthcare they provide. This role will include researching and writing simplified healthcare code, researching healthcare data models, designing test plans to ensure data accuracy, building data models that exercise the test plan, and iteratively employing feedback from the results to correct the code.

• Write simplified healthcare code to represent healthcare specifications (eCQMs and CDS-Hooks)
• Research innovative healthcare data models (FHIR), healthcare logic expressions (CQL) and healthcare definitional models (FHIR) to correctly express healthcare specifications. 
• Design test plans that ensure the code generates the correct data (expressed FHIR).
• Generate sample data to exercise defined test plan and/or criteria (FHIR). 
• Document, maintain and publish results in FHIR Implementation Guides to enable uptake and implementation by healthcare institutions
• Collaborate cross-functionally and with healthcare specialists, clinicians, and terminologists to understand and implement the requirements (L1/L2), and test the implementation (L3).  
• Providing expert feedback on prior authorization policies.  Including analysis for complexity, scope and effort.  
• Identify and capture best practices and lessons learned. 

• Minimum 5 years of experience as a clinical informaticist, data scientist, software developer or another relevant role. 
• Healthcare technology experience is required. 
• Experience with Clinical Decision Support algorithms is preferred.
• Experience with Clinical Quality measures is highly preferred. 
• Prior Authorization Adjudication Algorithms experience is beneficial. 
• Experience with FHIR is highly preferred.
• Experience with query language(s), such as SQL, would be considered an asset.
• Post-Secondary education in computer science or a related field of study or comparable related work experience.
• Excellent computer literacy skills and abilities. 
• Strong collaborative and verbal and written communication skills.
• Proven creative problem-solving and critical thinking with strong analytical skills and attention to detail.
• High level of self-motivation, drive, and enthusiasm coupled with integrity and professionalism.
• Experience in programming and/or programming tools is preferred, but not required. 

Some of the benefits we offer:

* Remote Work Environment

* Flexible Time Away From Work Policy including PTO, Personal and Sick Days

* Competitive Salary and Health/Medical Benefits

* RRSP/TFSA/401K Employee Contribution

* Life and Disability

* Employee Assistance Program

* FHIR Study Program and Skillsoft Learning

* Super HAPI Fun Club

Smile's core values include respect, inclusion, embracing our differences, and celebrating shared values because our people are the foundation of our success. We are big on creating a sense of belonging and empowering each other to bring our authentic selves to work.  We are dedicated to fostering a workplace that values diversity, equity, and inclusion.

We welcome and encourage candidates of all backgrounds to apply. Candidates are encouraged to inform us if they wish to discuss or require accommodations during interviews or while working at Smile.