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Part Time Remote Core Measures Data Abstractor Jobs in Laurel, MD

Data Scientist

Arlington, VA · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0245915 Location: Arlington,VA,US Share job via: Share Data Scientist ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245950 Location: Washington,DC,US Share job via: Share Data Scientist ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0245790 Location: McLean,VA,US Share job via: Share Data Scientist ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0242536 Location: Arlington,VA,US Share job via: Share Data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0242942 Location: Arlington,VA,US Share job via: Share Data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245992 Location: McLean,VA,US Share job via: Share Data Engineer The ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0241792 Location: Arlington,VA,US Share job via: Share Data Scientist ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Mclean, VA · On-site +1

$69K - $158K/yr

Remote Work: Yes Job Number: R0238939 Location: McLean,VA,US Share job via: Share Data Scientist ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0235358 Location: Alexandria,VA,US Share job via: Share Data Scientist ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246335 Location: Arlington,VA,US Share job via: Share Data Scientist ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245622 Location: Arlington,VA,US Share job via: Share Data Scientist ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243379 Location: Reston,VA,US Share job via: Share Data Scientist ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243983 Location: Arlington,VA,US Share job via: Share Data Scientist ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Showing results 41-60

Part Time Remote Core Measures Data Abstractor information

See Laurel, MD salary details

$14

$25

$38

How much do part time remote core measures data abstractor jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for part time remote core measures data abstractor in Laurel, MD is $25.11, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $31.68 per hour, depending on experience, location, and employer.

How does a part time remote core measures data abstractor typically collaborate with healthcare teams while working remotely?

As a Part Time Remote Core Measures Data Abstractor, collaboration with healthcare teams is often facilitated through secure digital platforms, such as electronic health record (EHR) systems, email, and video conferencing tools. You will regularly communicate with clinical staff, quality improvement teams, and sometimes IT personnel to clarify documentation, resolve data discrepancies, and ensure accurate abstraction of required measures. Strong written and verbal communication skills are essential, as much of the collaboration is asynchronous and relies on clear, concise exchanges. Despite working remotely, you are considered an integral part of the quality and compliance team, contributing directly to organizational performance goals.

What is a part time remote core measures data abstractor?

A Part Time Remote Core Measures Data Abstractor is a healthcare professional responsible for reviewing medical records and extracting specific data related to core measures, which are standardized performance metrics used to evaluate the quality of patient care in hospitals. They work remotely and on a part-time basis, using specialized software to collect and report data to ensure healthcare organizations comply with regulatory requirements. This role requires strong attention to detail, knowledge of medical terminology, and familiarity with electronic health records.

What are the key skills and qualifications needed to thrive as a part time remote core measures data abstractor, and why are they important?

To thrive as a Part Time Remote Core Measures Data Abstractor, you need a solid understanding of clinical documentation, medical terminology, and core measure abstraction, typically supported by a healthcare-related degree or clinical background. Familiarity with electronic health records (EHRs), data abstraction software, and sometimes certifications like Certified Clinical Data Abstractor (CCDA) are often required. Attention to detail, analytical thinking, and strong time management are crucial soft skills for ensuring data accuracy and meeting deadlines while working independently. These skills ensure precise data collection and reporting, which directly impact hospital quality metrics, compliance, and patient care outcomes.

What is the difference between Part Time Remote Core Measures Data Abstractor vs Part Time Remote Medical Records Reviewer?

AspectPart Time Remote Core Measures Data AbstractorPart Time Remote Medical Records Reviewer
CredentialsTypically requires healthcare-related certifications, training in data abstractionRequires medical record review experience, possibly healthcare certifications
Work EnvironmentRemote, focused on data abstraction from electronic health recordsRemote, reviewing and verifying medical records for accuracy
Employer & IndustryHospitals, healthcare organizations, quality improvement agenciesInsurance companies, healthcare providers, auditing firms
Search & Comparison IntentLooking for data abstraction roles in healthcare quality measuresSearching for medical record review positions in healthcare

The Part Time Remote Core Measures Data Abstractor focuses on extracting specific quality measure data from patient records, while the Part Time Remote Medical Records Reviewer verifies and assesses medical records for accuracy. Both roles are remote, healthcare-focused, and require healthcare-related knowledge, but they differ in their primary tasks and employer settings.

What are popular job titles related to Part Time Remote Core Measures Data Abstractor jobs in Laurel, MD? For Part Time Remote Core Measures Data Abstractor jobs in Laurel, MD, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Core Measures Data Abstractor jobs in Laurel, MD look for? The top searched job categories for Part Time Remote Core Measures Data Abstractor jobs in Laurel, MD are:
Infographic showing various Part Time Remote Core Measures Data Abstractor job openings in Laurel, MD 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, 5% Hybrid, and 10% Remote job distribution, with an average salary of $52,237 per year, or $25.1 per hour.

Data Scientist

Booz Allen Hamilton, Inc.

Arlington, VA • On-site, Remote

$69K - $158K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 18 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0245915
Location:
Arlington,VA,US
Share job via:
Share
Data Scientist
The Opportunity:
As an analytics professional, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your data science knowledge and advising expertise, coupled with an original approach to your work, will help clients and stakeholders make sense of their data and encourage actionable results. We're looking for someone like you to steer complex data exploration and analytics projects through your experience with SQL, R, Python, or other programming language for Department of Defense.
We'll keep you sharp and moving forward in your career with access to online courses and the latest tools and methods and opportunities to develop industry-facing publications and presentations. You'll collaborate with a team that serves missions from end to end.
Join us. The world can't wait.
You Have:
  • 6+ years of experience with statistical and general-purpose programming languages for data analysis
  • 5+ years of experience with data exploration, data cleaning, data visualization, or data mining
  • 5+ years of experience analyzing structured and unstructured data sources
  • 4+ years of experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
  • 4+ years of experience with natural language processing, text mining, or machine learning techniques
  • Ability to be a self-starter, identify opportunities to contribute to a team, and apply critical thinking to a wide variety of problems
  • Top Secret clearance
  • Bachelor's degree

Nice If You Have:
  • 6+ years of experience with data science, dashboard development, data analytics, statistics, or machine learning engineering
  • 2+ years of experience using and developing within Maven Smart System
  • Experience using object-oriented programming languages, including Python, R, or Java
  • Experience with Tableau, SQL, Power BI, Microsoft Access, or Power Query
  • Experience collecting, analyzing, and inputting data in shared information systems
  • Knowledge of statistical analysis, time series analysis, and optimization
  • Knowledge of Department of Defense data environments and the Joint Staff, Combatant Command, or Service headquarters
  • Possession of excellent verbal and in written communication skills to effectively communicate complex ideas to senior leaders
  • TS/SCI clearance
  • Master's degree in Data Science or Analytics

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,400.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914