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Associate Of Science Jobs in Reston, VA (NOW HIRING)

AAAS

Associate or Senior Editor

Washington, DC · Remote

$84K - $95K/yr

The American Association for the Advancement of Science (AAAS) and Science Magazine seek a talented editor to join our team as an Associate or Senior Editor at Science . We are looking for someone ...

AAAS

Associate or Senior Editor

Washington, DC · On-site

$80 - $100/hr

Judge the scientific value of research and select reviewers for submitted manuscripts. * Discuss and make recommendations regarding manuscripts and reviews with other staff, advisors, and authors.

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All JobsAssociate Of Science JobsAssociate Of Science Jobs in Reston, VA

Associate Of Science information

See Reston, VA salary details

$11

$20

$34

How much do associate of science jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for associate of science in Reston, VA is $20.67, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $21.49 per hour, depending on experience, location, and employer.

What is an Associate of Science degree?

An Associate of Science (AS) degree is a two-year undergraduate program focused on science and mathematics courses. It is typically offered by community colleges and some universities, and is designed to prepare students for entry-level jobs in scientific fields or to transfer to a four-year bachelor's degree program. The AS degree emphasizes subjects like biology, chemistry, mathematics, and physics, providing a strong foundation for further study or careers in STEM-related areas.

What are the key skills and qualifications needed to thrive as an Associate of Science graduate, and why are they important?

To thrive as an Associate of Science graduate, you need a solid grounding in scientific principles, critical thinking, and analytical problem-solving, typically achieved through completion of an accredited AS program. Familiarity with laboratory techniques, data analysis software, and scientific research tools is often required depending on the specific field pursued. Strong communication, teamwork, and adaptability are important soft skills that help in both academic and workplace environments. These skills and qualifications are crucial for excelling in entry-level science roles and for building a foundation for further education or career advancement.

What types of entry-level roles are commonly available for candidates with an Associate of Science degree, and how can these positions support long-term career growth?

With an Associate of Science degree, job seekers often find opportunities in roles such as laboratory technician, medical assistant, environmental science technician, or IT support specialist. These positions typically offer hands-on experience, exposure to industry-standard tools, and the chance to work closely with more experienced professionals. Many employers provide on-the-job training and encourage further education, which can help you transition into more advanced roles or supervisory positions over time. Additionally, gaining practical knowledge and developing professional networks early on can be instrumental in supporting your long-term career advancement.

What is the difference between Associate Of Science vs Medical Assistant?

AspectAssociate Of ScienceMedical Assistant
CredentialsTypically no specific certification required, but some programs offer certificationsCertified Medical Assistant (CMA) or Registered Medical Assistant (RMA) often preferred
Work EnvironmentClassroom, laboratory, or research settingsClinics, hospitals, medical offices
Industry UsageEducational programs, research institutionsHealthcare facilities, outpatient clinics
Common Search/ComparisonEducational background, prerequisites for healthcare programsPatient care, clinical duties

The Associate Of Science degree provides a broad educational foundation often used for further healthcare training or transfer to a bachelor's program. Medical Assistants focus on supporting healthcare providers with clinical and administrative tasks in medical settings. While both are related to healthcare, the Associate Of Science is more academic, whereas Medical Assistants are directly involved in patient care and office operations.

What is an associate of science degree good for?

An Associate of Science degree prepares individuals for entry-level positions in fields such as healthcare, technology, and science, or for transferring to a four-year college to pursue a bachelor's degree. It provides foundational knowledge and skills, often including coursework in math, science, and technical subjects, which can enhance employment opportunities or support further education.

What job can you get with an associate of science and how much you make?

An Associate of Science degree can qualify you for roles such as laboratory technician, research assistant, or data analyst, often requiring skills in science, math, and technical tools. Salaries typically range from $40,000 to $60,000 annually, depending on the industry, location, and experience level.

Where can I work with an associate of science?

An Associate of Science degree qualifies individuals for entry-level positions in fields such as healthcare, technology, engineering, and business. Graduates can work in laboratories, administrative roles, technical support, or pursue further education for specialized careers. Many jobs require technical skills, problem-solving, and familiarity with industry-specific tools or software.

What cities near Reston, VA are hiring for Associate Of Science jobs?

Cities near Reston, VA with the most Associate Of Science job openings:

Associate Of Science jobs near you
Infographic showing various Associate Of Science job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $42,995 per year, or $20.7 per hour.

Principal Associate, Ontology and Data Modeling

Capital One

Mclean, VA • On-site

$59K - $60K/yr

Full-time

Posted 7 days ago

Key responsibilities

  • Develop, implement, and govern ontologies and optimized data models in consultation with stakeholders

  • Contribute to data integration and mapping efforts to harmonize data with enterprise ontologies

  • Partner with Technology, Machine Learning, and other teams to support the development and integration of semantics in products and services

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

90th of 176 rated banks

Job description

Principal Associate, Ontology and Data Modeling

The role of the Principal Associate of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.

The Principal Associate of Ontology and Data Modeling, as part of Finance Products and Data Solutions, will be responsible for working collaboratively across Finance and Enterprise partners to develop domain ontologies in support of Enterprise initiatives. We are looking for someone to champion the creation and adoption of standardized data. The Principal Associate of Ontology and Data Modeling will be responsible for partnering with Technology, Product, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.

The Principal Associate of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts.

Primary Responsibilities

  • Develop, implement and govern ontologies and optimized data models in consultation with stakeholders in teams dedicated to improving data discoverability, search, and product development

  • Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies

  • Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business.

  • Partner with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services

  • Analyze and implement knowledge organization strategies using tools capable of machine learning, ontology management, and semantic enrichment

  • Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning

  • Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL

  • Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One

  • Test/troubleshoot new or updated models and systems

  • Manage and oversee other projects as assigned by Product Owners and Supervisors

Role-Based Competencies

  • Intellectually Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges

  • Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why they're doing what they're doing. You always can rally associates to work with you

  • Do-er. You're biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. You're well organized, able to multitask and able to prioritize your work

  • Passionate & Customer Focus. You care about growing others and bringing them together around what's possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs

  • Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help

  • Team Player. You enjoy working with diverse people and driving the team toward a common goal. You have the ability to put the team before yourself and establish long-lasting relationships

Basic Qualifications

  • Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics, computational linguistics or a combination

  • At least 3 years' experience in a metadata field of work or a masters' degree in information science, computer science, engineering, library science, ontology, semantics, computational linguistics or a combination

  • At least 3 years' experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS)

  • At least 3 years' experience or training in ontology and linked data tools (Protege, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)

  • At least 3 years' experience of experience with SQL, SPARQL, or a combination

Preferred Qualifications

  • Master's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics

  • Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data

  • Familiarity with graph databases and technologies

  • Familiarity with Python or R

  • Familiarity with JSON, OpenAPI/YAML, AVRO

  • Familiarity with Agile principles, processes, and methodologies

  • Familiarity with Amazon Web Services

  • Detail-oriented and an ability to problem-solve independently

  • Strong reading and writing skills

  • Strong project management experience

  • Excellent communication skills and the ability to present ideas clearly and with confidence.

  • Ability to work individually and with a team to meet deadlines

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $131,300 - $149,800 for Principal Associate, Ontology and Data Modeling


McLean, VA: $131,300 - $149,800 for Principal Associate, Ontology and Data Modeling


New York, NY: $143,200 - $163,500 for Principal Associate, Ontology and Data Modeling


Plano, TX: $119,400 - $136,200 for Principal Associate, Ontology and Data Modeling


Richmond, VA: $119,400 - $136,200 for Principal Associate, Ontology and Data Modeling







Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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