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Clinical Data Coding Jobs in Springfield, VA (NOW HIRING)

Trusted Doctors

Billing and Coding Specialist

Fairfax, VA · On-site

$21 - $23/hr

Review clinical documentation to ensure accurate code selection and charge capture. * Assign and ... Patient & Insurance Data Management * Review and verify patient demographic and insurance ...

New

Venesco LLC

Medical Coder

Falls Church, VA · On-site

$20 - $26.75/hr

... clinical trials through accurate coding and reconciliation of medical data. Requirements Key Responsibilities: • Code medical terminology using MedDRA and WHO Drug dictionaries • Ensure ...

VENESCO LLC

Medical Coder

Falls Church, VA · On-site

$20 - $26.75/hr

... support clinical trials through accurate coding and reconciliation of medical data. Requirements: Key Responsibilities: * Code medical terminology using MedDRA and WHO Drug dictionaries * Ensure ...

VENESCO, LLC

Medical Coder

Falls Church, VA · On-site +1

$20 - $26.75/hr

... support clinical trials through accurate coding and reconciliation of medical data. Requirements Key Responsibilities: Code medical terminology using MedDRA and WHO Drug dictionaries Ensure ...

Venesco

Medical Coder

Falls Church, VA · On-site

$20 - $26.75/hr

... clinical trials through accurate coding and reconciliation of medical data. Requirements Key Responsibilities: • Code medical terminology using MedDRA and WHO Drug dictionaries • Ensure ...

WearLinq

Medical Billing Associate

Rockville, MD · On-site +1

$44K/yr

We sit at the intersection of clinical cardiology, hardware, software, and data, building products ... Working knowledge of CPT, ICD-10, HCPCS coding and medical billing workflows * Experience billing ...

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Clinical Data Coding information

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$59

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How much do clinical data coding jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for clinical data coding in Springfield, VA is $59.71, according to ZipRecruiter salary data. Most workers in this role earn between $47.21 and $71.06 per hour, depending on experience, location, and employer.

What is clinical data coding?

A Clinical Data Coding job involves assigning standardized medical codes to clinical data, such as diagnoses, procedures, and treatments, to ensure accurate documentation and facilitate healthcare analytics, billing, and research. Professionals in this role use coding systems like ICD, CPT, and SNOMED CT to classify medical information. They work with electronic health records (EHRs) and collaborate with healthcare providers, data analysts, and regulatory bodies. Accuracy and attention to detail are crucial, as coded data impacts patient care, compliance, and reimbursement.

What does a typical day look like for someone working in clinical data coding?

A typical day in Clinical Data Coding involves reviewing clinical trial data, assigning accurate codes to medical terms, adverse events, and procedures using standard classification systems, and ensuring compliance with regulatory standards. You’ll collaborate closely with clinical data managers, medical reviewers, and biostatisticians to resolve discrepancies and maintain data integrity. Additionally, you may attend team meetings to discuss coding conventions or project updates and perform quality checks on coded data. This role offers a structured environment where attention to detail and accuracy are highly valued, supporting the success of clinical research projects.

What are the key skills and qualifications needed to thrive in clinical data coding, and why are they important?

To thrive in Clinical Data Coding, strong knowledge of medical terminology, clinical research processes, and disease classification systems (such as ICD-10 or MedDRA) is generally required, often supported by a degree in life sciences or related fields. Familiarity with electronic data capture systems, clinical trial databases, and specialized coding software is essential, along with certifications like Certified Clinical Data Manager (CCDM) or Certified Clinical Research Professional (CCRP) being advantageous. Attention to detail, analytical thinking, and effective communication enhance quality and teamwork in this role. These skills and qualities ensure precise and compliant data coding, which is critical for research integrity, regulatory submissions, and high-quality clinical outcomes.

What does a clinical data coder do?

A clinical data coder reviews medical records and assigns standardized codes to diagnoses, procedures, and treatments using coding systems like ICD and CPT. This process ensures accurate billing, data analysis, and compliance with healthcare regulations, often requiring attention to detail and familiarity with coding software. Certification such as CPC is commonly preferred in this role.

What are popular job titles related to Clinical Data Coding jobs in Springfield, VA?

For Clinical Data Coding jobs in Springfield, VA, the most frequently searched job titles are:

What job categories do people searching Clinical Data Coding jobs in Springfield, VA look for?

The top searched job categories for Clinical Data Coding jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Clinical Data Coding jobs?

Cities near Springfield, VA with the most Clinical Data Coding job openings:

Clinical Data Coding jobs near you
Infographic showing various Clinical Data Coding job openings in Springfield, VA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $124,203 per year, or $59.7 per hour.

Computational Biologist (AI/ML) - Essex Management (Contingent Roles)

Rockville, MD • On-site

Emmes Group
See more jobs at Emmes Groupexternal

Full-time

Medical, Retirement

Re-posted 12 days ago

Job description

Overview
Job Title: Computational Biologist (AI/ML)- Essex Management (Contingent Roles)
Notice to Candidates: Employment in these positions is expressly contingent upon Essex Management's receipt of a contract award from the Federal Government.
Location
US Remote
About Essex
This position supports "Essex, an Emmes Company". Essex is a biomedical informatics and health information technology-focused consultancy founded in 2009 and headquartered in Rockville, MD. The Essex team comprises experts with extensive experience in strategically developing and managing complex health and biomedical information programs for clients in the Federal Government, research academia, and private sectors.
Primary Purpose
The Computational Biologist (AI/ML) is a role within the Bioinformatics Department of the BIDS Division at Essex. This role brings meaningful scientific and technical expertise to the design, execution, and delivery of bioinformatics work across federal biomedical research programs. The Computational Biologist (AI/ML) owns well-defined tasks and small projects with minimal supervision and contributes substantively to team problem-solving and scientific quality. This role specifically focuses on applying Artificial Intelligence, Machine Learning and Deep Learning to bioinformatic analysis, and thus the ideal candidate is expected to leverage traditional bioinformatic techniques as well as emerging techniques. Essex supports programs in precision oncology, cancer genomics, clinical data infrastructure, and translational research, and the Computational Biologist (AI/ML) is expected to bring scientific judgment and technical capability to the work, not just execution.
Responsibilities
Core Functions
  • Own and execute well-defined analytical and technical tasks and small projects with minimal supervision from senior staff or your manager.
  • Assist Associate Informaticists with task-related questions, troubleshooting, and orientation.
  • Contribute substantively to team discussions on methodology, standards, tools, and technical decisions.
  • Apply working familiarity with best practices in your domain to deliver scientifically sound, high-quality work products.
  • Support peer review of deliverables and contribute to quality assurance activities.
  • Contribute to team documentation, SOPs, and knowledge base materials.
  • Shadow senior staff during candidate interviews to begin developing evaluation skills.
  • Participate in internal training sessions, brown bags, and knowledge-sharing activities.
  • Perform other related duties as assigned.

Role-Specific Functions
  • Design and implement AI/ML models applied to biomedical data, including genomic, proteomic, and multimodal clinical datasets, to support precision oncology and translational research.
  • Apply large language models, retrieval-augmented generation (RAG) techniques, and graph neural networks to make biomedical data interoperable and AI-ready.
  • Develop, test, and optimize pipelines for variant calling and annotation leveraging modern ML workflows and frameworks.
  • Curate, model, and integrate genetic and clinical datasets into standardized, interoperable formats to support precision medicine programs.
  • Generate high-quality, interpretable reports for internal and external stakeholders that translate complex AI/ML outputs into actionable scientific and clinical insights.

Qualifications
Required skills
Core Skills
  • Working proficiency in the core technical tools, analytical approaches, and data standards relevant to the assigned program and department.
  • Ability to work independently and within a team in a fast-paced, collaborative environment.
  • Strong written and oral communication skills, including the ability to document work clearly and present findings to technical audiences.
  • Proficiency with Microsoft Office applications.

Role-Specific Skills Core Skills
  • Proficiency in Python and SQL; demonstrated experience with ML frameworks (PyTorch, TensorFlow) and code versioning (Git).
  • Strong background in machine learning and AI, including deep learning architectures (CNNs, GNNs) applied to biomedical or complex multi-modal datasets.
  • Familiarity with genetic variant standards (HGVS, VCF) and clinical data ontologies.
  • Demonstrated ability to work cross-functionally and communicate technical results clearly to diverse scientific and clinical audiences.

Required experience
Core Experience
  • Bachelor's degree or advanced degree in bioinformatics, computational biology, data science, genetics, biology, health informatics, clinical research, or a related field.
  • 2 to 5 years of relevant professional or research experience.

Role-Specific Experience
  • Demonstrated success applying AI/ML to biomedical or multi-modal datasets (genomics, proteomics, clinical).
  • Track record of publications or applied innovation in AI-driven data science for life sciences preferred.
  • Experience applying LLMs or RAG approaches to scientific or clinical data problems preferred.

Why work at Emmes?
At Emmes, your actions and hard work will have a direct impact on public health initiatives, both globally and in our local communities with opportunities for volunteerism through our Emmes Cares community engagement program. We offer a competitive benefits package focused on the health and needs of our growing workforce, including:
  • Flexible Approved Time Off

  • Tuition Reimbursement

  • 401k Retirement Plan
  • Work From Home Anywhere in the US

  • Maternal/Paternal Leave

  • Casual Dress Code & Work Environment

CONNECT WITH US!
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The Emmes Company, LLC is an equal opportunity employer and does not discriminate in its selection and employment practices. All qualified applicants will receive consideration for employment without regard to disability or protected veteran status.
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