Clinical Informatics Specialist
Gradient AI
πRemote - Worldwide
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Job highlights
Summary
Join Gradient AI, a leading provider of AI solutions for the insurance industry, as a fully remote Clinical Informatics Specialist. Collaborate with product teams to develop a health roadmap and identify key differentiation opportunities. Provide clinical support to the data science team, assisting with model building and interpretation. Stay informed on emerging healthcare technologies and regulatory changes. The ideal candidate will possess a strong background in healthcare informatics, data analysis, and clinical expertise. Contribute to the design and implementation of key healthcare data models. Gradient AI offers a fun, team-oriented startup culture with generous benefits.
Requirements
- PharmD or MD degree is a must
- Expertise in clinical informatics or healthcare IT
- Hands-on experience working with EMR or claims data
- Strong knowledge of coding standards and best practices
- Experience in healthcare data modeling, normalization, and quality reporting
- Comprehensive understanding of Rx, Dx, LOINC coding, and MediSpan references
- Experience working with insurers, particularly in underwriting or as a consultant
- Strong analytical, problem-solving, and attention-to-detail skills
- Proven ability to work effectively in cross-functional teams, especially in fast-paced or startup environments
Responsibilities
- Provide clinical and informatics expertise to guide product definition and development
- Collaborate with client executives, product managers, engineers, and data scientists to design and implement: Ontology structures (LOINC, RxNorm, NDC, ICD-10)
- Collaborate with client executives, product managers, engineers, and data scientists to design and implement: Logic for defining healthcare concepts like emergency room visits, length of stay, and responsible provider
- Collaborate with client executives, product managers, engineers, and data scientists to design and implement: Episode Groupers to define disease stages and likely treatment pathways
- Collaborate with client executives, product managers, engineers, and data scientists to design and implement: Standards for term normalization and unstructured data extraction
- Normalize healthcare data, particularly from lab and EHR/EMR systems
- Develop pricing logic for new drugs, devices, and maintain updated pricing data
- Establish best practices for reference data sources and vendor selection
- Lead efforts to streamline documentation, improve data quality, and enhance reporting
- Maintain and update clinical content/models
Benefits
- A fun, team-oriented startup culture
- Generous stock options - we all get to own a piece of what weβre building
- Unlimited vacation days
- Flexible schedule that supports working from home
- Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more
- Ample opportunities to learn and take on new responsibilities
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