Solutions Engineer

What you’ll do

• Partner with the Clinical Informatics and Customer Success teams to understand customer challenges and work collaboratively to develop and pilot clinical solutions that leverage the Layer Health platform.
• Work closely with Engineering to encourage best practices, adopt the latest developer tooling, and assess feasibility of translating proof-of-concepts into production.
• Produce documentation, including technical design and architectural diagrams, for these solutions.
• Provide technical troubleshooting and support for clinical solutions.
• As part of the Clinical Informatics team, work to align solutions with clinical workflows, standards, and integration pipelines.
• Work closely with Product so that lessons learned from pilots translate to future product roadmaps.
• Work with Clinical Informatics to streamline the initial testing and validation of integrations with Health Systems (FHIR, HL7, etc.)
• Perform initial exploratory data analysis (EDA), working with our ML and data science teams to make sense of clinical data for downstream uses.
• Stay current with industry trends, clinical standards, and emerging technologies relevant to clinical solutions.

What you’ll need

• 3-5 years of experience deploying solutions into health care systems in a solutions engineering, clinical informatics, or technical sales role.
• Strong understanding of clinical workflows, data, and standards (e.g., HL7, FHIR).
• Fluency in Python, Pandas, standard API frameworks, and other common programming languages and libraries.
• Deep understanding of HIPAA and requirements for deploying secure solutions.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work collaboratively across internal teams.
• Passion for transforming healthcare with state-of-the-art AI technology.

Expected compensation range: $180,000-200,000. Compensation is dependent on experience, overall fit to our role, and candidate location.