Solutions Engineer
Builds and pilots AI-powered clinical solutions for healthcare systems, bridging clinical needs with technical prototypes using Python and healthcare standards like FHIR/HL7. Collaborates with engineering, product, and customer teams on integrations, troubleshooting, and workflow alignment. Requires 3-5 years healthcare solutions experience.
About the job
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.
Skills
Python, pandas, FHIR, Hl7, HIPAA, API, Eda, Machine Learning, Clinical Workflows
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