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Remote Interventional Radiology Coding Jobs in Chicago, IL

Job Title Senior Data Scientist Location Remote Type of Hire 4 months contract They strictly want ... that support faster intervention. The position responsibilities outlined below are not all ...

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Remote Interventional Radiology Coding information

See Chicago, IL salary details

$109.2K

$358K

$412.1K

How much do remote interventional radiology coding jobs pay per year?

As of Jun 27, 2026, the average yearly pay for remote interventional radiology coding in Chicago, IL is $357,955.00, according to ZipRecruiter salary data. Most workers in this role earn between $324,500.00 and $412,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Interventional Radiology Coding position, and why are they important?

To thrive as a Remote Interventional Radiology Coder, you need in-depth knowledge of medical coding guidelines, anatomy, and radiology procedures, often backed by certifications such as CPC, CCS, or CIRCC. Experience with medical coding software, Electronic Health Records (EHR), and familiarity with ICD-10-CM, CPT, and HCPCS coding systems is essential. Attention to detail, time management, and effective written communication are important soft skills, especially when working independently. These abilities ensure accurate coding for interventional radiology procedures, leading to proper billing, regulatory compliance, and optimal revenue cycle processes in a remote work environment.

What are some common challenges faced by remote interventional radiology coders, and how can they be addressed?

Remote interventional radiology coders often encounter challenges such as interpreting complex procedures from provider documentation, staying updated with frequent coding guideline changes, and ensuring communication with clinical teams while working remotely. Addressing these challenges involves continuous education, proactive participation in team meetings, and utilizing secure collaboration tools to clarify case details. Strong organizational skills help manage multiple assignments and deadlines, while a disciplined remote work routine supports accuracy and productivity. Employers often provide access to coding resources and ongoing training to help remote coders stay compliant and successful.

What is a Remote Interventional Radiology Coding job?

A Remote Interventional Radiology Coding job involves reviewing and assigning appropriate medical codes to interventional radiology procedures for billing and compliance purposes. Coders in this role analyze physician documentation, ensure accuracy in coding based on CPT, ICD-10, and HCPCS guidelines, and follow payer regulations. Working remotely, they use electronic health records (EHR) and coding software to complete their tasks while maintaining HIPAA compliance. Strong knowledge of interventional radiology procedures, anatomy, and coding guidelines is essential for success in this role.

What are popular job titles related to Remote Interventional Radiology Coding jobs in Chicago, IL? For Remote Interventional Radiology Coding jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Interventional Radiology Coding jobs in Chicago, IL look for? The top searched job categories for Remote Interventional Radiology Coding jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Interventional Radiology Coding jobs? Cities near Chicago, IL with the most Remote Interventional Radiology Coding job openings:
Infographic showing various Remote Interventional Radiology Coding job openings in Chicago, IL as of June 2026, with employment types broken down into 61% Full Time, 24% Part Time, and 15% Contract. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution, with an average salary of $357,955 per year, or $172.1 per hour.

Senior Data Scientist

1 point system

Chicago, IL • Remote

Contractor

Posted 16 days ago


Job description

Complete JD:

Job Title

Senior Data Scientist

Location

Remote

Type of Hire

4 months contract

  

They strictly want candidates from Insurance/ Claim with risk management background.

The Sr Data Scientist will design and implement machine learning and NLP solutions for a claims and incident mitigation analytics project. This role will help risk management teams identify high-risk incidents earlier, classify claims by likely severity and financial impact, and provide explainable insights that support faster intervention. The position responsibilities outlined below are not all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

 

POSITION RESPONSIBILITIES:
• Translate risk management business requirements into well-defined data science solutions, including incident prioritization and claim severity classification.
• Profile, clean, and prepare claims and incident data for analytics, modeling, and scoring.
• Develop feature engineering logic using structured and unstructured claims and incident data.
• Apply NLP and text-processing techniques to claim and incident narratives to extract useful risk signals.
• Develop record-linkage approaches to connect incidents and claims when a clean unique identifier is not available.
• Build and validate models that rank incidents by likelihood of becoming claims or requiring Risk Management intervention.
• Build and validate claim severity models that classify claims by likely financial impact and high-dollar claim risk.
• Generate explainability outputs, including key risk drivers and business-readable reasons for flagged incidents or claims.
• Collaborate with Risk Management, Legal, Data Engineering, BI, Data Governance, and MLOps partners to deliver usable business outputs.
• Monitor model performance, drift, scoring quality, and retraining needs.
• Document modeling assumptions, feature logic, validation results, limitations, and handoff requirements.
• Ensure data science work follows data governance expectations, including appropriate handling of PII and sensitive fields.
• Present findings, model results, and recommendations to business and technical stakeholders in a clear, actionable manner.

 

EXPERIENCE AND QUALIFICATIONS:

 

Required Skills -
• Strong experience building supervised machine learning models, especially classification, ranking, and severity / risk scoring models.
• Strong experience with data profiling, data cleaning, feature engineering, model validation, and model evaluation.
• Experience working with messy, sparse, real-world enterprise datasets.
• Strong Python and SQL skills.
• Experience with NLP or text analytics, including narrative cleaning, text classification, embeddings, keyword extraction, or summarization.
• Experience with probabilistic record linkage, entity resolution, fuzzy matching, or deduplication.
• Experience explaining model outputs using feature importance, SHAP, reason codes, or other explainability methods.
• Experience working with Snowflake or similar enterprise data warehouse platforms.
• Experience supporting batch scoring, model monitoring, and production handoff.
• Strong understanding of data governance, sensitive data handling, and PII masking or exclusion.
• Excellent communication and teamwork skills.

PREFERRED SKILLS:
• Experience with insurance claims, risk management analytics, litigation analytics, fraud detection, or safety analytics.
• Experience with claim severity modeling or high-dollar claim prediction.
• Experience with AWS, SageMaker, or similar cloud-based data science environments.
• Experience supporting BI outputs in Tableau, Power BI, Looker, or similar tools.
• Familiarity with MLOps best practices, model versioning, monitoring, and retraining workflows.
• Exposure to hospitality, property operations, guest experience, or enterprise safety data.
• Proven ability to translate complex analytics into practical business workflows and measurable impact.

EDUCATION:
Master's degree in computer science, statistics, data science, industrial engineering, operations research, mathematics, or related field preferred. Bachelor's degree with strong relevant experience acceptable.