Senior Knowledge Engineer - Remote US

Remote; San Francisco (CA); Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

Remote Work Environment

Flexible PTO and sick days

Health/Medical Benefits

401K/RRSP/TFSA options

Employee Assistance Program

Job summary

Smile Digital Health is seeking a Knowledge Engineer to translate medical specifications into accessible data queries. The role focuses on eCQMs, CDS-Hooks, and FHIR-based data modeling to support clinical decision-making and quality measurement across health systems.

You will design test plans, generate sample data, and publish findings in FHIR Implementation Guides while working with clinicians and terminologists to ensure accurate, compliant implementations.

Qualifications

• Minimum 5 years of relevant experience in healthcare informatics or data roles.
• Experience with FHIR and healthcare data models preferred.
• Strong analytical and problem-solving skills.
• Excellent collaboration and communication abilities.

Responsibilities

• Write simplified healthcare code to represent healthcare specifications (eCQMs and CDS-Hooks).
• Research healthcare data models (FHIR) and logic expressions (CQL).
• Design test plans to ensure the code generates correct FHIR data.
• Collaborate with clinicians and terminologists to implement requirements.
• Publish results in FHIR Implementation Guides to enable uptake.

Skills

Clinical informaticist

Data science

Healthcare technology

SQL

Critical thinking

Education

Bachelor's in Computer Science

Tools

FHIR

CQL

Programming basics

Job description

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 20 countries. We were #19 on Deloitte's Technology Fast 50 Ranking for 2024!

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. We help generate and liberate structured healthcare data to ensure effective delivery across care teams and health systems bringing #BetterGlobalHealth to patients everyday!

The 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. 1 year contract

Responsibilities:

• 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.

• Ensure that the confidentiality, privacy and integrity of Smile Digital Health’s information is maintained.

• Comply with all Company policies including but not limited to the privacy, security and confidentiality policies.

Requirements

• 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.