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Quantum Computing Research Remote Jobs in Reston, VA

Lexical Intelligence LLC

NLM Cloud Engineer III

Bethesda, MD · Remote

$59.50 - $79.50/hr

The Cloud Engineer III shall be able to work well within a team of multidisciplinary researchers ... remote access, administration of cloud computing and storage platforms, compute and cost model ...

Booz Allen Hamilton, Inc.

Solution Architect

Bethesda, MD · On-site +1

$67.50 - $88.75/hr

Remote Work: Hybrid Job Number: R0245305 Location: Bethesda,MD,US Share job via: Share Solution ... Knowledge of federal healthcare missions, research priorities, data ecosystems such as scientific ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Analyzed information and provide research findings in a manner that is easily grasped by the ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Analyzed information and provide research findings in a manner that is easily grasped by the ...

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Quantum Computing Research Remote information

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How much do quantum computing research remote jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for quantum computing research remote in Reston, VA is $23.12, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $24.76 per hour, depending on experience, location, and employer.

What is a quantum computing researcher?

Quantum Computing Research Remote jobs involve conducting research and development in quantum computing while working from a remote location, rather than in a traditional office or laboratory. Professionals in these roles explore quantum algorithms, hardware, and software, and may collaborate with teams virtually across the globe. They often contribute to advancing quantum technologies, publish research findings, and develop new applications in areas like cryptography, optimization, and machine learning. These positions typically require a strong background in physics, computer science, or related fields, and proficiency in programming languages commonly used in quantum computing.

How much do quantum computing researchers make?

Quantum computing researchers typically earn between $80,000 and $150,000 annually, depending on experience, education, and location. Senior researchers or those with specialized skills in quantum algorithms and hardware may earn higher salaries, especially in research institutions or tech companies focused on quantum technology.

What are the key skills and qualifications needed to thrive as a quantum computing researcher?

To excel as a Quantum Computing Researcher (Remote), you typically need an advanced degree in physics, computer science, or a related field, with a deep understanding of quantum mechanics and algorithms. Familiarity with quantum programming languages (like Qiskit or Cirq), simulation tools, and experience with cloud-based quantum platforms are highly valuable. Strong problem-solving skills, self-motivation, and effective virtual communication are crucial soft skills for remote research collaboration. These competencies enable researchers to drive innovation, overcome complex challenges, and effectively contribute to global teams in a rapidly evolving field.

What is the difference between Quantum Computing Research Remote vs Quantum Algorithm Developer?

AspectQuantum Computing Research RemoteQuantum Algorithm Developer
Required CredentialsAdvanced degrees in physics, computer science, or related fieldsSimilar advanced degrees, often with programming certifications
Work EnvironmentRemote research teams, academic or corporate labsRemote or on-site, focused on algorithm development and implementation
Employer & Industry UsageResearch institutions, tech companies, academiaTech firms, startups, research labs
Search & Comparison IntentUnderstanding remote research roles in quantum computingDeveloping and optimizing quantum algorithms remotely

Quantum Computing Research Remote involves conducting research in quantum computing from a remote location, often focusing on theoretical and experimental studies. Quantum Algorithm Developer, while similar, emphasizes creating and refining algorithms for quantum computers, which may also be done remotely. Both roles require advanced degrees and are prevalent in research and tech industries, but their core focus differs: research vs algorithm development.

What are some typical challenges faced by remote quantum computing researchers, and how can these be addressed?

Remote quantum computing researchers often encounter challenges such as limited access to specialized hardware, the need for robust collaboration tools, and staying current with rapid advancements in the field. Many institutions address these by providing access to cloud-based quantum processors and fostering strong virtual communication channels within research teams. Building a routine for regular knowledge sharing, attending virtual conferences, and collaborating through code repositories can help remote researchers stay connected and productive.

What are popular job titles related to Quantum Computing Research Remote jobs in Reston, VA?

For Quantum Computing Research Remote jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Quantum Computing Research Remote jobs in Reston, VA look for?

The top searched job categories for Quantum Computing Research Remote jobs in Reston, VA are:

What cities near Reston, VA are hiring for Quantum Computing Research Remote jobs?

Cities near Reston, VA with the most Quantum Computing Research Remote job openings:

Quantum Computing Research Remote jobs near you
Infographic showing various Quantum Computing Research Remote job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $48,087 per year, or $23.1 per hour.

Senior Director, Data Science (Remote-Eligible)

Capital One

Mclean, VA • On-site, Remote

Full-time

Posted 24 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

91st of 171 rated banks

Job description

Senior Director, Data Science (Remote-Eligible)

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Science Leader at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

The Intelligent Foundations and Experiences (IFX) group is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering. The Emerging AI Patterns team within IFX group is a new strategic initiative to explore and operationalize cutting-edge AI paradigms like Agentic frameworks, multi-agent collaboration. We are specifically focused on revolutionizing how Capital One develops, deploys, and manages a large number of machine learning models through Agentic AI systems.

In this role, you will:

  • Partner with a cross-functional team of software engineers, distinguished researchers, and solutions architects to drive great decisions through modeling

  • Define and drive towards an end state that is based on simplicity and the adoption of digital technologies, cloud hosting, and open source software.

  • Distill the details of complex interconnected modeling systems to influence senior business leaders on model strategy, business use, and risks

  • Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners

  • Shape our practice of building machine learning models, from design through training, evaluation, validation, and implementation

  • Oversee development of benchmark and challenger models to stress test critical modeling decisions

The Ideal Candidate is:

  • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo.

  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.

  • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

  • Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

Basic Qualifications:

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date :

    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 11 years of experience performing data analytics

    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 9 years of experience performing data analytics

    • A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics

  • At least 6 years of experience leveraging open source programming languages for large scale data analysis

  • At least 6 years of experience working with machine learning

  • At least 6 years of experience utilizing relational databases

Preferred Qualifications:

  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics

  • At least 6 years of experience in Python, Scala, or R for large scale data analysis

  • At least 6 years of experience with machine learning

  • At least 2 year of experience working with AWS

  • At least 6 years of experience with complex architectural patterns (SOA), building APIs, microservices, and event streams

  • At least 6 years of experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Capital One is open to hiring a Remote Employee for this opportunity.

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.

Remote (Regardless of Location): $286,200 - $326,700 for Sr Dir, Data Science


McLean, VA: $314,800 - $359,300 for Sr Dir, Data Science










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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