Design, build, and launch backend services to process and analyze clinical data at scale. Collaborate across disciplines to iterate on new ideas and maintain applications in production.
SmarterDx
14 Remote Job Openings at SmarterDx
Manage a portfolio of health system clients to maximize value and ensure successful platform adoption. Collaborate with internal teams to resolve issues, report financial impact to executives, and advocate for product enhancements based on customer feedback.
Design, build, and launch user-facing clinical AI products and reusable frontend components. Collaborate across disciplines to iterate on features while ensuring patient privacy and security through secure coding practices.
Build and scale machine-learning driven features and reusable architecture to advance the clinical AI product suite. Deploy and maintain ML models and pipelines in production while collaborating with cross-disciplinary teams to integrate them into the platform.
Lead and grow a data engineering team focused on ingesting and operationalizing healthcare data across products. Oversee the delivery of client data integrations while ensuring data quality, governance, and pipeline resilience.
Lead end-to-end ML research to develop and deploy novel LLM alignment and hallucination detection methods for clinical data. Collaborate with engineers and clinicians to build reliable AI systems that improve hospital outcomes and patient record understanding.
You will lead groundbreaking machine learning research and development, collaborating with engineers and clinicians to deploy models into production. Responsibilities include establishing a research agenda, developing novel algorithms, and monitoring the impact of deployed clinical AI solutions.
You will partner with product managers and engineers to translate business goals into analytical requirements and design experiments to inform strategic decisions. Additionally, you will build and maintain data models while creating compelling visualizations to communicate findings and product impact.
The Clinical Coding Specialist will review and analyze medical records to ensure coding accuracy and validate AI diagnostic models. They will also contribute to process improvement efforts to enhance coding practices and support effective healthcare delivery.
The engineer will design, build, and launch new multi-product features and improve application quality by creating reusable, fully featured, responsive, and accessible frontend components. This involves collaborating across disciplines to understand users, iterating on ideas, ensuring patient privacy and security, researching improved techniques, and supporting applications in production.
The Implementation Lead will own the entire implementation process from contract signing to go-live, collaborating with cross-functional teams and clients to ensure seamless solution integration and value delivery. This role involves leading technical components such as SSO, sFTP, and allowlisting, alongside rigorous data validation and specification review.
The manager will lead and scale the revenue cycle solution engineering function, ensuring reliable, secure, and scalable technical integrations from SmarterDx into health system sources like EHRs and coding systems. This involves managing a remote team of solution consultants, setting strategy, and remaining hands-on to solve complex technical challenges and improve integration processes.
The Staff Machine Learning Engineer will craft, implement, and maintain MLOps tools and practices while optimizing model performance and scalability. They will also build tools to improve the lives of data scientists and contribute to the design and architecture of ML systems.
The Clinical Operations Specialist will conduct comprehensive chart reviews and clinical validation of AI diagnostic models to support clinical documentation improvement. This role is crucial for ensuring the clinical accuracy and high quality of AI models.
