Top Tech Jobs & Startup Jobs in Chicago, IL

Supervise and coach a team of claims professionals to meet quality, productivity, and customer service goals. Provide technical and jurisdictional guidance on complex compensability, investigations, litigation, and regulatory reporting. Assist with recruitment, onboarding, performance evaluations, and client presentations. Ensure compliance with Workers' Compensation laws and maintain required certifications. Travel overnight for meetings as needed and perform additional duties as assigned.

The Account Manager II oversees customer relationships, manages account service delivery, drives revenue growth, and ensures client satisfaction through consultative services and regular communication with clients and internal teams.

Supervise hospital bill audit nurses, ensuring accurate audits and compliance with regulations. Foster team collaboration and handle auditor inquiries while maintaining productivity standards.

The Appeals Representative analyzes appeals in accordance with policies and guidelines, communicates with providers, and ensures timely completion of appeals while adhering to industry standards.

Perform DRG validation reviews of medical records, document findings, provide support for coding determinations, and conduct audits to ensure accurate billing.

The Data Verification Specialist performs clerical duties including bill review, data entry, data verification, and communication with supervisors to support the bill review department.

The Business Analyst will evaluate business processes, collaborate with stakeholders for improvements, and translate workflows into software requirements with a focus on claims and care management systems.

The Claims Specialist manages lower-level workers' compensation claims, ensuring validity, compensability, and communication with clients while working under supervision.

The Junior Accountant maintains the General Ledger, prepares financial records, processes transactions, and assists with audits and budgets.

The Data Scientist II will design, build, and deploy machine learning models and data products, translating business problems into data-driven solutions, while collaborating with various stakeholders and ensuring reliable, production-ready outcomes.