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Remote Qc Data Reviewer Jobs in Virginia (NOW HIRING)

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

... first line quality control check for data cleaning, WUC analyses, NLP models and resulting ... for remote work to be determined by the program manager and customer. Essential Functions:

A-TEK Inc.

Health IT Data Engineer

Alexandria, VA · Remote

$125K - $135K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Implement data validation and quality control procedures. * Optimize database and reporting ...

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

Define and enforce data quality standards, validation rules, data dictionaries, scorecards, issue ... loop review, or secure AI-enabled analytics. * Experience with SQL, Python, R, Databricks ...

Edgesource

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Track data versions, implement data quality checks, and ensure data reliability. * Design and ... Participate in code reviews and promote best practices across the team. Required Qualifications ...

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Remote Qc Data Reviewer information

What are the most common challenges faced by remote QC data reviewers, and how can they be managed effectively?

Remote QC Data Reviewers often face challenges such as maintaining consistent communication with on-site teams, ensuring data integrity without direct access to physical records, and managing distractions in a home environment. To overcome these, it's important to establish clear communication channels, use secure and reliable data management systems, and develop a structured daily routine. Proactively seeking feedback and participating in regular virtual meetings can also help stay aligned with team objectives and uphold quality standards.

What is a remote QC data reviewer?

A Remote QC (Quality Control) Data Reviewer is a professional who evaluates and verifies the accuracy and integrity of data, often in industries like pharmaceuticals, clinical research, or manufacturing, while working from a remote location. Their main responsibility is to ensure that all data meets regulatory standards and company protocols before it is finalized or submitted. This role involves reviewing data for completeness, consistency, and compliance, often using specialized software and adhering to strict documentation requirements. Remote QC Data Reviewers collaborate with data entry professionals, scientists, or production teams to resolve discrepancies and maintain high data quality. Attention to detail, strong analytical skills, and familiarity with industry regulations are essential for this job.

What is the difference between Remote Qc Data Reviewer vs Remote Data Analyst?

AspectRemote Qc Data ReviewerRemote Data Analyst
CredentialsTypically requires a degree in life sciences, healthcare, or related fields; certifications like CDISC or SAS are commonRequires a degree in statistics, mathematics, or related fields; certifications like CAP, SAS, or SQL are common
Work EnvironmentPrimarily reviews clinical trial data for quality and compliance in a remote settingAnalyzes data sets to identify trends and insights, often in a remote or office setting
Industry UsageCommon in clinical research, pharmaceutical, and healthcare industriesWidely used across healthcare, finance, marketing, and technology sectors

The Remote Qc Data Reviewer focuses on ensuring the accuracy and compliance of clinical data, while the Remote Data Analyst interprets data to support decision-making across various industries. Both roles require strong analytical skills and relevant certifications, but their primary functions and industry applications differ.

What are the key skills and qualifications needed to thrive as a remote QC data reviewer?

To thrive as a Remote QC Data Reviewer, you need a solid background in data analysis, quality control principles, and relevant industry standards, often supported by a degree in life sciences or a related field. Familiarity with laboratory information management systems (LIMS), data review software, and regulatory compliance tools is typically required. Exceptional attention to detail, critical thinking, and effective communication are crucial soft skills for this position. These abilities ensure accurate data validation, regulatory adherence, and efficient collaboration in remote and team-based environments.
What are popular job titles related to Remote Qc Data Reviewer jobs in Virginia? For Remote Qc Data Reviewer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Qc Data Reviewer jobs in Virginia look for? The top searched job categories for Remote Qc Data Reviewer jobs in Virginia are:
Remote Qc Data Reviewer jobs near you
Infographic showing various Remote Qc Data Reviewer job openings in Virginia as of August 2026, with employment types broken down into 62% Full Time, and 38% Part Time. Highlights an 100% Remote job distribution.

Data Scientist

Redhorse Corporation

Arlington, VA • On-site, Remote

Full-time

Re-posted 12 days ago

Job description

Data Scientist
About the Organization
Now is a great time to join Redhorse Corporation. Our mission is to change the way government interacts with and uses data and technology. Our purpose is to help government to better serve its citizens. Redhorse Corporation offers a proven approach to mission-focused innovation. Design thinking helps us understand customer problems and develop better ways to solve them. Lean Startup lets us turn those ideas into business models that work, quickly and for the least cost. Our world class data scientists wring the value from data, and Agile helps us deliver solutions quickly and incrementally, building exactly what is needed, as fast as possible. We are hiring creative, motivated and talented people with a passion for doing what’s right, what’s smart, and what works.

Position Description
Redhorse Corporation (Redhorse) is seeking an exceptional leader to serve as a Data Scientist for the Conditions Based Maintenance (CBM+) Program. The Senior Analyst will serve on a four-member Agile Data Science delivery team performing predictive maintenance and predictive logistics model development and forecasting work on the government-provided PANDA platform. The Senior Analyst will mentor junior analysts in the areas of NLP related to automated or semi-automated data extraction and other elements of model development and will be the first line quality control check for data cleaning, WUC analyses, NLP models and resulting forecasts. This position will be based in our National Capital Region offices in the Rosslyn neighborhood of Arlington, VA, with opportunities for remote work to be determined by the program manager and customer.
Essential Functions:
  • Delivery Teams will each be responsible for a subset of assigned aircraft platforms and respective work unit codes (WUCs) within an Aircraft Group. Delivery Teams are primarily responsible for data analysis/data science work supporting the following functions:
    • Sustain existing WUC predictive failure models
    • Support selection and analysis of new WUC predictive failure models
    • Field newly approved WUC predictive failure models
    • Generate monthly enhanced reliability centered maintenance forecasts for assigned WUCs
    • Generate and maintain a long-range supply forecast utilizing Monte Carlo simulation for assigned WUCs
    • Participate in user and stakeholder engagements and technical discussions
    • Gather and provide feedback on best practices and recommended enhancements to the platform
    • Document work performed in technical reports
Minimum Basic Requirements for Skills, Experience, Education and Credentials include:
  • Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
  • Data Scientist with 4 years of experience including experience in applied NLP, data labeling, entity or keyword extraction, and related topics.
  • Understanding of Weibull distribution and use for modeling part failures
  • Proven ability to drive key client communication and expectations
  • Experience engaging clients and developing relationships at the highest levels of the Federal Government
  • Strong communication skills and ability to understand business functionality
  • Ability to foster positive business relationships
  • Proven leadership abilities
  • Excellent communication and interpersonal skills
  • Experience working with office productivity software, such as Microsoft Office suite, including Word, Excel, PowerPoint and file sharing applications.
  • Able to travel as needed to meet with government customers and stakeholders
Preferred Qualifications include:
  • Advanced degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
  • Active Secret Clearance
  • Experience with Predictive Maintenance / Logistics
  • Experience with sensor-based failure predictions and modeling
  • Experience with Monte-Carlo simulation and calculation of confidence levels
Executive Order Requirement:
In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new hires to be fully vaccinated for COVID-19 by December 8, 2021 or prior to the first date of employment, whichever is later. As required by the Executive Order, Redhorse will work in coordination with applicable contract agencies to consider requests for Reasonable Accommodations.
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
EOE/M/F/Vet/Disabled

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