Layer Health is a company founded by leading machine learning researchers from MIT and Harvard Medical School, focused on building an AI layer to synthesize information from medical records. The Solutions Engineer will work with health system customers to pilot clinical solutions, collaborating closely with various teams to develop and implement innovative applications using the Layer Health platform.
Responsibilities:
- 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