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Clinical Data Coding Jobs in Maryland (NOW HIRING)

CICONIX, LLC

SAS Programmer

Fort Detrick, MD

... non-clinical data); Develop define.xml and define.pdf to include coding conventions used in the statistical programs (all versions) for CDISC datasets; Develop SEND datasets conforming to CDISC ...

CICONIX, LLC

... non-clinical data); Develop define.xml and define.pdf to include coding conventions used in the statistical programs (all versions) for CDISC datasets; Develop SEND datasets conforming to CDISC ...

CICONIX, LLC

SAS Programmer

Fort Detrick, MD · On-site

... non-clinical data); Develop define.xml and define.pdf to include coding conventions used in the statistical programs (all versions) for CDISC datasets; Develop SEND datasets conforming to CDISC ...

Datavant

Profee Coding Consultant - PRN

Annapolis, MD · On-site

$20 - $28/hr

... data quality reviews of records to assess compliance with official coding and documentation guidelines. * Communicate professionally with co-workers, management, and hospital staff regarding clinical ...

Datavant

Profee Coding Consultant - Full Time

Annapolis, MD · On-site

$20 - $28/hr

... data quality reviews of records to assess compliance with official coding and documentation guidelines. * Communicate professionally with co-workers, management, and hospital staff regarding clinical ...

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Clinical Data Coding information

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How much do clinical data coding jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for clinical data coding in Maryland is $55.48, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $66.01 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.

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

What job categories do people searching Clinical Data Coding jobs in Maryland look for?

The top searched job categories for Clinical Data Coding jobs in Maryland are:

What cities in Maryland are hiring for Clinical Data Coding jobs?

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Clinical Data Coding jobs near you
Infographic showing various Clinical Data Coding job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $115,406 per year, or $55.5 per hour.

Principal Data Scientist

BullFrog AI Holdings, Inc.

Gaithersburg, MD • On-site, Remote

$175K - $215K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

Job Type
Full-time
Description
About BullFrog AI
BullFrog AI (NASDAQ: BFRG) is a computational biology company spun out of the Johns Hopkins Applied Physics Laboratory. We sit at the intersection of AI and drug discovery, building platforms that help pharmaceutical and biotech companies make better, faster decisions across the drug development lifecycle:
  • bfPREP™ - biology-aware data harmonization that unlocks the value trapped in fragmented, multi-site clinical and omics datasets
  • bfLEAP™ - causal AI analytics for patient subgroup discovery, biomarker identification, and drug target prioritization
  • bfARENAS™ - structured multi-criteria decision support for high-stakes portfolio, indication, and go/no-go decisions

The Role
Help turn complex biomedical and clinical data into defensible decisions for drug discovery and development.
BullFrog AI is seeking an exceptional Principal Data Scientist with a strong background in biomedical analytics. This is a senior individual contributor role that combines client-facing project leadership with direct contributions to BullFrog's in-house platform - spanning target discovery, patient subtyping, and multimodal data analysis.
Day-to-day work is client-dependent, with each engagement bringing a different analytical challenge. You will be expected to lead from execution and bring scientific rigor, technical depth, and clear communication to every project.
What You'll Do
Client Engagement & Project Leadership
  • Own end-to-end analytical workstreams across target discovery, patient subtyping, and multimodal data exploration
  • Translate complex data science findings into clear, actionable insights for non-technical stakeholders and senior leadership
  • Collaborate effectively with distributed, remote teams to ensure seamless communication and on-time delivery

Technical Delivery
  • Design, implement, and optimize AI/ML models using diverse healthcare data types, including omics, claims, and EHR
  • Conduct multi-omic analyses such as RNA-seq differential expression, clustering, genomic association analysis, and biomarker discovery
  • Implement NLP and LLM solutions tailored to life sciences datasets
  • Contribute to the development and refinement of BullFrog's in-house platform capabilities

Requirements
What We're Looking For
Education
• Advanced degree (MS or PhD) in a quantitative field - biology, computer science, engineering, or related
Experience
• 5+ years of post-graduate experience in life sciences analytics in pharma, biotech, or consulting
• Demonstrated proficiency in Python; production-quality code in a research or commercial environment
• Hands-on experience with major healthcare data types - omics data required; claims and EHR experience strongly preferred
• Hands-on experience applying LLMs or NLP to real analytical workflows, ideally biomedical or clinical text extraction, summarization, evaluation, or retrieval
• Proven track record of collaborating effectively with remote teams
• Must be legally authorized to work in the United States
Desired Skills
• Prior experience in multi-modal analysis with deep learning
• Causal inference experience - a significant differentiator for this role
• NLP/LLM expertise applied to life sciences and healthcare text
• Strong foundation in data engineering and databases
• Experience with graph-based approaches: feature engineering, ML, and visualization
• Cloud platform experience, particularly AWS or Google Cloud
Who Will Thrive Here
• Intellectually versatile - energized by moving across problem types, data modalities, and scientific domains
• Client-ready - comfortable presenting to and partnering with senior scientific and business stakeholders
• Independently driven - able to scope, execute, and deliver complex analyses without heavy oversight
• Scientifically rigorous - you hold your work to a publication-quality standard even in a commercial environment
• Collaborative by default - remote-first is second nature; you communicate proactively and close loops
What We Offer
Base salary range: $175,000 - $210,000 per year, based on level of education, years of relevant experience, skills, and location. This role is eligible for performance bonus and equity/stock options, subject to company and plan terms. Benefits include medical, dental, and vision from day one, short-term disability, 401(k) from first paycheck, 15 days PTO, 11 paid holidays annually, and maternity and paternity leave.
BullFrog AI is an equal opportunity employer. We are committed to building a diverse team that reflects the communities and patients our work ultimately serves.
Advancing medicine through artificial intelligence.
Salary Description
$175,000 - $215,000 annually

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