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Remote Clinical Data Manager Jobs in Reston, VA (NOW HIRING)

Black Canyon Consulting

Project Manager

Bethesda, MD · On-site +1

This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD and/or remote work. NCBI ... Experience working with large databases, statistical analysis, and clinical data. * Experience in a ...

WearLinq

Holter/Cardiac Technologist

Rockville, MD · On-site +1

$22/hr

A rare opportunity for remote techs is now open! Clinician must be able to submit comprehensive reports, with no omissions of clinical data, and be able to follow a template for a written summary ...

Wearlinq

Holter/Cardiac Technologist

Rockville, MD · On-site +1

$22/hr

A rare opportunity for remote techs is now open! Clinician must be able to submit comprehensive reports, with no omissions of clinical data, and be able to follow a template for a written summary ...

System One

Technical Data Steward

Merrifield, VA · Remote

Remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract The Technical Data Steward is responsible for the technical data management, governance, integrity and quality of ...

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All JobsClinical Data JobsRemote Clinical Data Manager JobsRemote Clinical Data Manager Jobs in Reston, VA

Remote Clinical Data Manager information

See Reston, VA salary details

$21

$60

$86

How much do remote clinical data manager jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for remote clinical data manager in Reston, VA is $60.42, according to ZipRecruiter salary data. Most workers in this role earn between $47.74 and $71.88 per hour, depending on experience, location, and employer.

What is a remote clinical data manager?

A Remote Clinical Data Manager is a professional responsible for overseeing the collection, processing, and management of clinical trial data while working from a remote location. They ensure that the data collected during clinical studies is accurate, complete, and compliant with regulatory standards. Their key tasks include database design, data cleaning, and collaborating with clinical teams to resolve data discrepancies. Remote Clinical Data Managers often use specialized software and work closely with other research professionals to maintain data integrity and support successful clinical trial outcomes.

What does a remote clinical data manager do?

Remote clinical data managers collect, compile, and organize data from research projects and clinical trials. They perform their job duties from home or another location outside of the office with internet capability. In this career, you are responsible for recording relevant information and results from clinical trials and making sure they are logged accurately and secured correctly. You examine the research process, checking that the data meets industry regulations and requirements for clinical testing. Once the trial begins, you evaluate the data to ensure researchers collect the right information as they conduct their tests, experiments, or research. You collaborate remotely with researchers to produce reports, statistics, and charts. Remote clinical data managers work with pharmaceutical companies, healthcare providers, government agencies, and research institutions.

How does a remote clinical data manager typically collaborate with clinical research teams and ensure data integrity across different locations?

As a Remote Clinical Data Manager, you'll frequently coordinate with cross-functional teams, including clinical research associates, biostatisticians, and project managers, using digital communication tools and project management platforms. Ensuring data integrity involves setting up secure data management systems, implementing data validation checks, and conducting regular data reviews. You'll participate in virtual meetings to discuss data queries, timelines, and protocol updates, and often provide training or support to site staff on electronic data capture (EDC) systems. Maintaining clear communication and thorough documentation is essential for successful remote collaboration and high-quality data management.

What are the key skills and qualifications needed to thrive as a remote clinical data manager, and why are they important?

To thrive as a Remote Clinical Data Manager, you need expertise in clinical data management, knowledge of regulatory guidelines (such as GCP), and a degree in life sciences or a related field. Familiarity with electronic data capture (EDC) systems, clinical trial management software, and certifications like CCDM are typically required. Strong attention to detail, problem-solving abilities, and effective remote communication skills help you excel in this position. These competencies ensure accurate data collection, regulatory compliance, and efficient collaboration within dispersed clinical research teams.

What is the difference between Remote Clinical Data Manager vs Remote Clinical Research Associate?

AspectRemote Clinical Data ManagerRemote Clinical Research Associate
CredentialsBachelor's in Life Sciences, Biostatistics, or related field; experience with data management systemsBachelor's in Life Sciences, Nursing, or related field; experience in monitoring and site management
Work EnvironmentData analysis, database management, and quality controlMonitoring clinical sites, ensuring protocol adherence, and site communication
Industry UsagePharmaceutical, biotech, and clinical research organizationsPharmaceutical, biotech, and contract research organizations
Search & Comparison IntentFocuses on data management roles in clinical trialsFocuses on site monitoring and trial oversight roles

The main difference is that Remote Clinical Data Managers handle data collection, validation, and database management, while Remote Clinical Research Associates focus on site monitoring and ensuring trial compliance. Both roles are essential in clinical research but serve different functions within the trial process.

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Remote Clinical Data Manager jobs near you
Infographic showing various Remote Clinical Data Manager job openings in Reston, VA as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $123,707 per year, or $59.5 per hour.

Data Engineer

Washington, DC • Remote

Magnus Management Group LLC
See more jobs at Magnus Management Group LLCexternal

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Job description

Benefits:
  • 401(k)
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance

Seeking a Data Engineer responsible for designing, developing, and maintaining scalable enterprise data pipelines supporting advanced fraud analytics. The candidate will manage ingestion, transformation, quality control, and optimization of structured and unstructured data across cloud-based analytics platforms.
Responsibilities
  • Should bring a minimum of three (3) years of professional experience in data engineering or a related field. 
  • Demonstrate the ability to design, build, and maintain scalable ETL pipelines across diverse data sources. 
  • Should apply strong SQL and Python skills, or equivalent technologies, to ingest and transform data from flat files, JSON, XML, Excel, APIs, graph databases, with flexibility to adapt to additional formats and sources as needed. 
  • Should possess experience loading, managing, and optimizing data within platforms such as Databricks Unity Catalog and SQL Server managed instances, including work with streaming and batch ingestion frameworks and modern Lakehouse architecture. 
  • Should exhibit strong capabilities in implementing standard quality control processes to ensure data quality, lineage, reliability, and performance while collaborating effectively with cross‑functional teams. 
  • Must have familiarity with data governance, data quality, and data management practices consistent with enterprise data management (EDM) standards. 
  • Must have experience supporting fraud detection, anomaly detection, or financial oversight analytics environment preferred. 
Minimum Qualifications
  • Minimum 3 years data engineering experience. 
  • Strong SQL skills. 
  • Strong Python programming. 
  • Experience building ETL pipelines. 
  • Experience with Databricks. 
  • Experience with Azure SQL or SQL Server. 
  • Experience implementing data quality processes. 
Preferred Qualifications
  • Experience with fraud detection analytics. 
  • Experience with streaming data pipelines. 
  • Experience supporting enterprise data governance. 

This is a remote position.