Solutions Engineer

🕒 il y a 24 jours

🌲 North Carolina – Distant

infoinfo

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

👻 Score fantôme 19%

infoinfo

🗣️🇺🇸🇬🇧 Anglais requis

Pandas

Python

SQL

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Keebler Health

1 - 10 employés

🏥 Santé

💼 Conseil

🤖 Intelligence artificielle

Healthcare • Consulting • Artificial Intelligence

Keebler Health est une plateforme de premier plan en matière d'ajustement des risques axée sur l'IA, conçue pour améliorer la précision et fournir un support décisionnel clinique aux organisations de santé soumises à des risques. La plateforme utilise un transformateur de nouvelle génération spécialement conçu pour l'ajustement des risques, afin d'identifier les opportunités de codage HCC avec transparence, scores de confiance, preuves et explications contrefactuelles, et pour soutenir les flux de travail CDI, codage, audit et planification avant visite. Elle intègre diverses sources de données (FHIR, HIE, fax et autres données complexes) et est proposée comme une solution SaaS pour les assureurs santé et les organisations de prestataires de soins.

Description

• Serve as the primary workflow owner for assigned clients, including pilots and live accounts • Communicate data requirements, timelines, and expected outcomes with the team and clients • Ingest, clean, and process client-submitted data, including spreadsheets, claims, encounter notes, and lab results • Pull, transform, and validate datasets using Python, SQL, and related tools • Develop scripts and lightweight tools to automate recurring data preparation and delivery workflows • Partner with Engineering to troubleshoot ingestion pipelines, QA outputs, and improve automation • Ensure deliverables meet standards for accuracy, compliance, and HIPAA security • Package and deliver client results with clinical SMEs adding interpretive context • Track and report client health metrics to support renewals and continuous improvement • Refine internal delivery playbooks, templates, and documentation as the team scales

🎯 Exigences

• Proficiency in Python for data manipulation and automation (pandas, requests, etc.) • Experience working with healthcare data (claims, clinical notes, lab results, or EHR exports) • Familiarity with Excel/CSVs and basic SQL for data extraction and validation • Strong communication and project management skills; able to translate between technical and clinical contexts • Self-starter comfortable working in a fast-paced startup environment with evolving specifications and limited documentation • Experience in health tech startups or consulting (bonus) • Familiarity with EHR systems and value-based care models (bonus) • Exposure to risk adjustment, RAF scoring, or clinical data quality workflows (bonus) • Resume and LinkedIn profile required • Personalized Keebler Health–style introduction required • Must be located in the United States, based on the listed location 'Remote (United States)'

🏖️ Avantages

• Remote work option in the United States

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