Solutions Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌲 North Carolina – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 10%

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Keebler Health

1 - 10 employees

🏥 Healthcare

💼 Consulting

🤖 Artificial Intelligence

Healthcare • Consulting • Artificial Intelligence

Keebler Health is an AI-first risk adjustment platform designed to improve accuracy and provide clinical decision support for risk-bearing healthcare organizations. The platform uses a next-generation transformer tailored for risk adjustment to surface HCC coding opportunities with transparency, confidence scores, evidence and counterfactual explanations, and to support CDI, coding, audit, and pre-visit planning workflows. It integrates diverse data sources (FHIR, HIE, faxes, and other messy data) and is delivered as an enterprise SaaS solution for health insurers and provider organizations.

📋 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

🎯 Requirements

• 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)'

🏖️ Benefits

• Remote work option in the United States

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