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Remote Interventional Radiology Coding Jobs in Massachusetts

Research Full Stack Coder

Boston, MA · Remote

$82K - $135K/yr

... interventions. The ideal candidate will play a key role in the development and optimization of ... Remote-Massachusetts - N/A Boston, Massachusetts 02108 Work Type: M-F, 8 am - 5 pm Work Shift: Day ...

Lead Software Engineer

Watertown, MA · On-site +1

$150K - $180K/yr

... interventions * Integrate with third-party vendors and health tech innovations to expand our ... You have 8+ years of experience writing production code across the stack * You resonate with our ...

Showing results 21-22

Remote Interventional Radiology Coding information

See Massachusetts salary details

$115.8K

$379.5K

$436.8K

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

As of Sep 12, 2026, the average yearly pay for remote interventional radiology coding in Massachusetts is $379,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $344,000.00 and $436,800.00 per year, depending on experience, location, and employer.

What is remote interventional radiology coding?

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 the key skills and qualifications needed for remote interventional radiology coding?

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 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 are popular job titles related to Remote Interventional Radiology Coding jobs in Massachusetts?

For Remote Interventional Radiology Coding jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Remote Interventional Radiology Coding jobs in Massachusetts look for?

The top searched job categories for Remote Interventional Radiology Coding jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Interventional Radiology Coding jobs?

Cities in Massachusetts with the most Remote Interventional Radiology Coding job openings:

Infographic showing various Remote Interventional Radiology Coding job openings in Massachusetts as of September 2026, with employment types broken down into 6% Locum Tenens, 82% Full Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $379,491 per year, or $182.4 per hour.

Research Full Stack Coder

Boston, MA • Remote

Brownhealth
Hospitals

$82K - $135K/yr

Full-time

Posted 9 days ago


Brown University Health rating

6.7

Company rating: 6.7 out of 10

Based on 95 frontline employees who took The Breakroom Quiz


Job description

Summary

Brown University Health is seeking a highly motivated Full-Stack AI Developer to join a government-funded research team working at the intersection of artificial intelligence, digital health, and public health interventions. The ideal candidate will play a key role in the development and optimization of multimodal AI models, AI-driven chatbots, and agent-based modeling frameworks, contributing to research on HIV prevention, sexually transmitted infection (STI) prevention, nutrition counseling, overdose prevention, and opioid use disorder (OUD) treatment.

C. A. R. E. Values

Brown University Health employees are expected to successfully role model the organization's values of Compassion, Accountability, Respect and Excellence, as these values guide our everyday actions with patients, customers and one another.

In addition to our values, all employees are expected to demonstrate the core Success Factors which tell us how we work together and how we get things done. The core Success Factors include:

  • Instill Trust and Value Differences
  • Patient and Community Focus and Collaborate
Responsibilities
  • AI and Software Development: Design, develop, and optimize multimodal AI models, AI-based chatbots, and modify existing agent-based modeling frameworks.
  • Full-Stack Engineering: Develop and maintain both front-end and back-end components of AI-driven applications, ensuring seamless user experiences.
  • Cloud-Based Deployment: Deploy and maintain AI solutions on cloud platforms (e.g., AWS, Azure, or Google Cloud) with scalable architectures.
  • Domain-Specific Adaptation: Learn and integrate public health knowledge in HIV prevention, STI prevention, nutrition counseling, and OUD treatment into AI-based solutions.
  • Collaboration: Work closely with public health experts, data scientists, and researchers to refine AI models and improve application performance.
  • Continuous Learning & Innovation: Stay updated on cutting-edge AI technologies, including large language models, reinforcement learning, and agentic frameworks.

Required Qualifications:

  • Programming Expertise: Proficiency in Python, JavaScript (React/Node.js), or other full-stack technologies for AI and web applications.
  • AI/ML Experience: Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, LangChain, AutoGen).
  • Back-End Development: Strong knowledge of API development, databases (SQL/NoSQL), and cloud computing.
  • Front-End Development: Experience in React, Vue.js, or Angular for interactive and user-friendly applications.
  • Cloud & DevOps: Experience in deploying AI applications on AWS, Google Cloud, or Azure, and familiarity with containerization (Docker, Kubernetes).
  • Agent-Based Modeling: Familiarity with modifying agent-based models (ABMs) in domains such as epidemiology or public health.
  • Ability to Learn Domain Knowledge: Strong interest and ability to understand and integrate public health concepts into AI-driven solutions.
  • Team Player: Ability to collaborate in a multidisciplinary research team and contribute to government-funded projects.
Other Information

Preferred Qualifications:

  • Bachelor's Degree or above in computer science or closely related field
  • Experience working in health-related AI applications.
  • Knowledge of LLMs, multimodal AI, and reinforcement learning.
  • Prior work with digital health interventions.

How to Apply:

Interested candidates should submit a CV and a short cover letter through the career website and complete the application process. Applications will be reviewed on a rolling basis.


EXPERIENCE:

Three to five years' experience in AI applications developing.


INDEPENDENT ACTION:

Performs independently within the department's policies and practices. Refers specific complex problems to the supervisor when clarification of the departmental policies and procedures is required.


SUPERVISORY RESPONSIBILITY:

No direct supervisory responsibility. Trains and oversees work of Research Assistants in AI applications development.

Pay Range:

$82,284.80-$135,782.40

EEO Statement:

Brown University Health is committed to providing equal employment opportunities and maintaining a work environment free from all forms of unlawful discrimination and harassment.

Location:

Remote-Massachusetts - N/A Boston, Massachusetts 02108

Work Type:

M-F, 8 am - 5 pm

Work Shift:

Day

Daily Hours:

8 hours

Driving Required:

No

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