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Remote Master Health Science Jobs in Virginia (NOW HIRING)

Booz Allen Hamilton, Inc.

Technical Scrum Master

Mclean, VA · On-site +1

$86K - $198K/yr

Remote Work: Hybrid Job Number: R0246964 Location: McLean,VA,US Share job via: Share Technical ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Maximus

Data Scientist II (Remote)

VA · On-site +1

Minimum Requirements: -Master's degree in quantitative science, social science, or a related ... healthcare, or laboratory setting. -Advanced proficiency with Microsoft Office applications ...

SAIC

Scrum Master IT Project Manager

Hampton, VA · On-site +1

$120K - $160K/yr

Top Secret Potential for Remote Work: ORA_ON_SITE Description SAIC, a leading provider of systems ... Bachelor's degree in Computer Science, Information Technology, Business Administration, or a ...

Booz Allen Hamilton, Inc.

Master Planner

Arlington, VA · On-site +1

$55K - $126K/yr

Remote Work: No Job Number: R0244027 Location: Arlington,VA,US Share job via: Share Master Planner ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

A-TEK Inc.

Health IT Data Scientist

Alexandria, VA · On-site +1

$110K - $120K/yr

This is a remote position. US Citizenship is required for consideration. Ability to obtain and ... Master's degree in Data Science or related discipline. * Experience supporting Federal healthcare ...

Booz Allen Hamilton, Inc.

Scrum Master

Chantilly, VA · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0245482 Location: Chantilly,VA,US Share job via: Share Scrum Master ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton, Inc.

Scrum Master

Chantilly, VA · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0245199 Location: Chantilly,VA,US Share job via: Share Scrum Master ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton, Inc.

Technical Scrum Master

Mclean, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0247177 Location: McLean,VA,US Share job via: Share Technical Scrum ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

ICF

Health Analyst - Oncology

Reston, VA · On-site +1

Manage scientific engagement and analytics projects for SRP, including support for research and ... Master's degree in healthcare administration, communications, public health, research, oncology ...

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Remote Master Health Science information

What is a remote master health science?

A Remote Master Health Science professional is someone who has completed a master's degree in health science and works remotely, often in areas such as healthcare administration, public health, research, education, or policy development. These professionals use their advanced knowledge to manage projects, analyze health data, develop health programs, or support clinical research—all from a remote setting. Their work helps improve healthcare systems, influence public health outcomes, and support evidence-based decision-making without the need for a traditional office or laboratory environment.

How do remote master health science professionals typically collaborate with interdisciplinary teams despite working offsite?

Remote Master Health Science professionals often use digital tools such as video conferencing, project management platforms, and secure data-sharing systems to collaborate with interdisciplinary teams. Regular virtual meetings and clear communication protocols ensure that everyone stays informed and aligned on project goals. Building strong digital relationships and proactively engaging with team members helps overcome the challenges of remote work, fostering effective teamwork across locations and disciplines.

What are the key skills and qualifications needed to thrive as a remote master health science, and why are they important?

To thrive as a Remote Master Health Science professional, you typically need an advanced degree in health sciences or a related field, strong analytical abilities, and expertise in public health research or administration. Proficiency with data analysis software (such as SPSS or SAS), telehealth platforms, and project management tools is often required. Exceptional communication, self-motivation, and organizational skills are crucial for effective remote work and interdisciplinary collaboration. These competencies ensure high-quality research, program management, and impactful health initiatives in a virtual environment.

What is the difference between Remote Master Health Science vs Remote Health Informatics Specialist?

AspectRemote Master Health ScienceRemote Health Informatics Specialist
Required CredentialsMaster's in Health Science, certifications like CPHQBachelor's or Master's in Health Informatics, certifications like CAHIMS
Work EnvironmentRemote, healthcare organizations, research institutionsRemote, healthcare IT companies, hospitals
Industry UsageHealthcare administration, policy, researchHealthcare IT, data management, electronic health records

Remote Master Health Science professionals focus on healthcare management, policy, and research, often requiring advanced degrees and certifications. In contrast, Remote Health Informatics Specialists concentrate on healthcare data systems, electronic records, and IT solutions. Both roles are remote and industry-specific but differ in their core focus and required credentials.

What are the most commonly searched types of Master Health Science jobs in Virginia?

The most popular types of Master Health Science jobs in Virginia are:

What are popular job titles related to Remote Master Health Science jobs in Virginia?

For Remote Master Health Science jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Master Health Science jobs in Virginia look for?

The top searched job categories for Remote Master Health Science jobs in Virginia are:

What cities in Virginia are hiring for Remote Master Health Science jobs?

Cities in Virginia with the most Remote Master Health Science job openings:

Remote Master Health Science jobs near you

Senior Director, Data Science (Remote-Eligible)

Mclean, VA • On-site, Remote

Capital One
Funds, Trusts and Financial Programs • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

88th of 172 rated banks

Good employer

Recommended by students

Paid breaks

Learn more about Capital Oneexternal

Full-time

This job post has expired today. Applications are no longer accepted.

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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