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How much do laboratory coder jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for laboratory coder in Baltimore, MD is $22.28, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $23.89 per hour, depending on experience, location, and employer.

What are the typical day-to-day responsibilities of a laboratory coder?

As a Laboratory Coder, your primary duties include reviewing laboratory test requisitions, assigning appropriate billing and diagnostic codes in accordance with current coding standards, and ensuring data accuracy in patient records. You may also be responsible for resolving coding discrepancies, communicating with laboratory staff or healthcare providers to clarify test information, and staying up to date on regulatory changes that impact coding practices. This role often requires collaboration with billing departments and quality assurance teams to ensure compliance and maximize reimbursement. A Laboratory Coder generally works in a healthcare or laboratory setting, either independently or as part of a larger health information management team.

What are the key skills and qualifications needed to thrive as a laboratory coder, and why are they important?

To thrive as a Laboratory Coder, you need a thorough understanding of medical terminology, laboratory procedures, and coding systems such as ICD-10-CM and CPT, typically supported by certification in medical coding or health information management. Familiarity with laboratory information systems (LIS), coding software, and electronic health records is crucial for accurately recording and managing lab data. Strong attention to detail, problem-solving skills, and effective communication are valuable for ensuring coding accuracy and collaborating with laboratory and billing teams. These skills and qualities help maintain compliance, optimize reimbursement, and support efficient laboratory operations.

What is a laboratory coder?

A Laboratory Coder is responsible for translating laboratory tests, procedures, and services into standardized medical codes for billing and insurance purposes. They ensure accuracy in code selection based on medical records and compliance with healthcare regulations. Laboratory Coders work with healthcare providers, laboratories, and insurance companies to streamline claims processing and prevent billing errors. Strong knowledge of coding systems such as CPT, HCPCS, and ICD-10 is essential.

What are the most commonly searched types of Laboratory Coder jobs in Baltimore, MD? The most popular types of Laboratory Coder jobs in Baltimore, MD are:
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Laboratory Coder jobs near you
Infographic showing various Laboratory Coder job openings in Baltimore, MD as of August 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 68% In-person, and 32% Remote job distribution, with an average salary of $46,341 per year, or $22.3 per hour.

AL/ML Programmer

MIT Lincoln Laboratory

Fort George G Meade, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago

Job description

Fort Meade, MD (On‑Site Position)

Are you excited to contribute to world‑class research in artificial intelligence with real impact on national security? The Artificial Intelligence Technology and Systems Group at MIT Lincoln Laboratory has over 50 years of experience developing revolutionary technologies for critical national missions. 

Location: This position is based at our field site in Fort Meade, MD. Candidates must be willing and able to commute to and work on‑site and will regularly interface directly with government sponsors in secure facilities. 

Group 52 AI Technology & Systems specializes in machine learning (ML) algorithms, technologies, and systems that extract and analyze information from multimedia data—including speech, text, images, and video. In recent years, we have significantly expanded our mission to include developing impactful ML solutions for cybersecurity in collaboration with the Nation’s top cyber organizations. 

As a recognized leader in both basic and applied AI/ML, our group is shaping emerging AI fields and driving the Laboratory’s efforts in AI Assurance across the Department of Defense and the Intelligence Community. We also integrate expertise in multimedia, cyber, and AI assurance to develop cutting‑edge technologies for Operations in the Information Environment (OIE). 

A hallmark of our work is a focus on operational relevance: we design and evaluate AI/ML systems using realistic datasets and metrics, and we partner directly with intelligence analysts and cyber operators to ensure rapid transition of our technologies into real‑world, mission‑critical systems. 

Job Description

Our staff members:

  • Design, program, and architect advanced ML methods. 
  • Develop algorithms in speech, natural language processing, multimedia, cyber, and graph analytics. 
  • Publish and present research at premier conferences. 

The AI Technology and Systems Group is seeking motivated applicants who can contribute to projects addressing a wide range of national needs in AI and ML. Assignments may include: 

  • Research on state‑of‑the‑art algorithms in signal processing, natural language processing, graph analytics, or adversarial AI. 
  • Applying innovative methods to challenging, real‑world problems. 
  • Working in a collaborative, team‑oriented development environment. 

This is an opportunity to apply your skills to some of the most important technical challenges of our time—while learning from and contributing to a world‑class research community. 

Qualifications

Candidates must possess a Ph.D in electrical engineering, computer science, or another relevant discipline or a MS with 5 or more years of relevant experience or a BS and 9 or more years of relevant expereince will be considered. 

  • Current TS/SCI clearance required (must be active at the time of application).  

Desired Skills

  • Knowledge of artificial intelligence ideally with applications on multimedia, cyber security or adversarial machine learning / AI security experience.
  • Deep AI/ML experience – graduate-level (or professional) knowledge of state-of-the-art machine-learning, deep-learning, LLM/agentic AI, multimodal perception, graph analytics, adversarial/AI-assurance, or cyber-ML; ability to read, critique, and extend advanced research papers.
  • System analysis & problem decomposition – can translate high-level end-state requirements into a clear set of research tasks, define quantitative success metrics and measures, and produce a task-breakdown structure that aligns with program/project milestones. Adept at formulating hypothesis, designing controlled experiments, and drawing data-driven conclusions on novel problems.
  • Operate within a rapid research-to-prototype pipeline – demonstrable ability to turn novel algorithms and approaches into robust, reproduceable prototypes in tight timescales, around iterative refinement.
  • Agentic-AI framework experience – hands-on work with MCP or comparable toolkits; able to design, implement, and evaluate end-to-end LLM-driven agents.
  • Advanced Python & ML libraries – expert-level proficiency in Python and deep-learning frameworks (PyTorch, TensorFlow, etc.), plus Huggingface ecosystem, and data science frameworks (NumPy/pandas/SciPy, etc.).
  • Software-engineering best practices – strong Git workflow (branching, pull-requests, code reviews), continuous-integration testing, environment reproducibility (e.g., conda, virtualenv). Ability to document code, write reproducible experiment notebooks, and maintain versioned releases.
  • Team and Project leadership – experience leading small research teams, assigning tasks, tracking progress, removing technical blockers, and mentoring junior staff.
  • Stakeholder communication – strong written and oral skills for prepping technical briefings, composing white-papers, demo presentations, and funding proposals; able to convey complex research outcomes to sponsors, senior leadership, and external partners.
  • Detail-oriented, able to multi-task, with the ability to work autonomously, set technical direction, and operate with minimal supervision.


Recent Graduate Hiring Range: $145,200 - $170,000
Experienced Hiring Range: $145,20-0 - $220,000

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must possess a current in scope Top Secret level security clearance. 

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

Requisition ID: 42940 

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