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Clinical Data Coding Jobs in Massachusetts (NOW HIRING)

Tempus

Senior Data Modeler

Boston, MA · On-site

$120K - $170K/yr

... clinicians, and product managers ... You and your team set the goals, build the software, deploy the code, and contribute to a growing ...

Guidehealth

Data Scientist

Boston, MA · Remote

$105K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Data Scientist develops and communicates analyses of ongoing operations to advance Clinical, Quality, and Coding and Documentation Improvement (CDI) performance goals. This role sits at the ...

Careers Integrated Resources Inc

Medical Coder

Cambridge, MA · On-site

$20.50 - $27.25/hr

General Knowledge and Skills • Clinical trial experience, preferably data management and/or safety experience, preferably coding safety cases. Qualifications • 2-5 years medical coding using the ...

Integrated Resources INC

Medical Coder

Cambridge, MA

$20.50 - $27.25/hr

General Knowledge and Skills Clinical trial experience, preferably data management and/or safety experience, preferably coding safety cases. Qualifications 2-5 years medical coding using the MedDRA ...

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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 16, 2026, the average hourly pay for clinical data coding in Massachusetts is $62.43, according to ZipRecruiter salary data. Most workers in this role earn between $49.38 and $74.28 per hour, depending on experience, location, and employer.

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. Coders typically work in healthcare settings and may need certification such as CPC or CCS.

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 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 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 most commonly searched types of Clinical Data Coding jobs in Massachusetts?

The most popular types of Clinical Data Coding jobs in Massachusetts are:

What are popular job titles related to Clinical Data Coding jobs in Massachusetts?

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

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

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

Clinical Data Coding jobs near you
Infographic showing various Clinical Data Coding job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,863 per year, or $62.4 per hour.

Associate Director, Clinical Data Management

Prime Medicine

Watertown, MA

Full-time

Re-posted 28 days ago

Job description

Position Overview

Prime Medicine is seeking an experienced Associate Director of Clinical Data Management to lead clinical data strategy and execution across gene editing programs from first-in-human studies through regulatory submission. This role will oversee all internal and external data management activities supporting INDs, CTAs, BLAs, and global regulatory filings.

The ideal candidate has experience in rare disease clinical trials, vendor oversight, and complex biologic or gene therapy programs, and is comfortable operating in a fast-paced environment. This individual will ensure clinical data integrity, regulatory readiness, and high-quality execution across the development portfolio.

This role reports to the Senior Director, Clinical Operations.

 

Key Responsibilities

Clinical Data Leadership

  • Lead all clinical data management activities across multiple programs from IND through BLA submission.
  • Develop and execute data management strategies aligned with regulatory requirements both in the US/ex-US
  • Oversee CRF design, database build, edit checks, data review, coding, reconciliation, and database lock.
  • Ensure implementation of CDISC standards (SDTM/ADaM) to support submission readiness.
  • Support inspection readiness and maintain audit-ready documentation.

Vendor Oversight & Governance

  • Lead selection, oversight, and performance management of CRO and data management vendors.
  • Manage vendor budgets, timelines, KPIs, and quality metrics.
  • Oversee external data transfers and reconciliation processes (e.g., SAE, lab, PK and PD).
  • Ensure change control, database archiving, and data governance processes are compliant and well documented.

Gene Therapy & Rare Disease Expertise

  • Oversee integration of complex data streams including:
    • Genomic and sequencing data
    • Biomarker and translational endpoints
    • Immunogenicity and PK/PD
    • Long-term follow-up safety data
  • Support dose-escalation studies with rapid data review cycles and SRC/DMC readiness
  • Tailor data processes to rare disease trial realities (small populations, adaptive designs, multi-cohort studies).

Systems & Infrastructure

  • Contribute to scalable data infrastructure and identification of key efficiencies between programs
  • Support implementation and optimization of EDC, ePRO, IRT, and data visualization systems.
  • Ensure integration between clinical data, laboratory systems, and sample tracking systems.

Cross-Functional Collaboration

  • Partner with Clinical Development, Clinical Operations, Regulatory, Quality, and Translational Sciences.
  • Serve as subject matter expert for data standards, governance, and process improvement initiatives.
  • Contribute to development and improvement of internal SOPs and workflows.

Qualifications

  • Bachelor's degree in life sciences, statistics, informatics, or related field (advanced degree preferred).
  • 8+ years of progressive clinical data management experience, including leadership responsibility.
  • Experience supporting IND submissions and major regulatory filings (BLA/NDA/MAA).
  • Direct experience in rare disease and/or gene therapy, gene editing, or advanced biologics strongly preferred.
  • Demonstrated CRO/vendor oversight experience in global trials.
  • Strong knowledge of ICH/GCP, FDA/CFR regulations, CDISC standards, and eCTD submission requirements.
  • Experience with EDC systems, medical coding (MedDRA/WHO Drug), and external data integration.
  • Strong understanding of safety data reconciliation and regulatory inspection preparedness.
  • Excellent organizational, project management, and communication skills.

Key Competencies

  • Strategic thinker with strong execution skills.
  • Detail-oriented with high standards for data quality and compliance.
  • Collaborative and cross-functional mindset.
  • Comfortable working in a dynamic, innovative biotech environment.
  • Passion for advancing transformative therapies for patients with rare genetic diseases.

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