Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically pre-adapted LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate the process of manual chart review of EMRs, without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, and deploys medical logic with temporal sensitivity to match dynamically changing patient characteristics with complex clinical trial criteria during the exact window of time that a given EMR may qualify for study protocol criteria.

We are seeking a skilled Engineer with expertise in ETL that will be reporting directly to our VP of Engineering.

• Design and implement robust ETL processes to facilitate the seamless extraction, transformation, and loading of healthcare data into Synapsis AI.
• Ensure the efficient and accurate integration of diverse data formats and structures.
• Leverage in-depth knowledge of healthcare information standards to enable smooth interoperability between Synapsis AI and healthcare information systems (including, but not restricted to, HL-7 and FHIR).
• Collaborate with cross-functional teams from the clients’ side to implement and adhere to industry-standard data exchange protocols.
• Optimize data workflows and integration processes to enhance the performance and reliability of Synapsis AI in different healthcare environments.
• Troubleshoot and resolve integration-related issues to ensure continuous data flow.
• Implement data validation and quality assurance measures to ensure the accuracy and integrity of healthcare data processed by Synapsis AI.

• Minimum of 5 years of experience in data integration roles with focus on healthcare data.
• In-depth knowledge of industry-standard healthcare data exchange protocols and interoperability standards.
• Familiarity with diverse healthcare data formats and structures.
• Experience with relational and non-relational database systems.
• Exposure to ETL and data orchestration tools and platforms.
• Experience developing solutions in Python.
• Strong problem-solving skills and attention to detail.
• Experience with Agile Methodologies for software development.
• Degree in Computer Science, Engineering, or a related field.
• Experience with FHIR and/or HL-7 would be a plus.

• Experience with MongoDB.
• Experience with healthcare technologies and ecosystems (Epic, Cerner, etc.).

Team Culture

• We lead with empathy for patients and our teammates
• We value small egos, self-awareness, and humility in our teammates
• We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift
• We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team
• We value open dialogue and brainstorming across multidisciplinary teams

Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws.