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Computational Data Science Jobs in Virginia (NOW HIRING)

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office of Research Innovation, Validation, and Applications (ORIVA) research validation and application ...

Imagineeer LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office of Research Innovation, Validation, and Application's (ORIVA) research validation and application ...

Dew Softech Inc

Data Scientist II

Norfolk, VA · Hybrid

Bachelors degree in Computer Science, Data Science, Computational Science or related field and 9+ years experience working in the field. * Experience building and leading data management and ...

New

National Capitol Contracting (NCC)

Be Seen First

Data Scientist

Norfolk, VA · On-site

Bachelors degree in Computer Science, Data Science, Computational Science, or related field * Masters of Science Degree in Computer Science, Data Science, Computational Science or related field.

NT Concepts

Data Scientist

Chantilly, VA · On-site

... computational methods. • Develop and/or consult on advanced methodological approaches ... Qualifications : Required : • Bachelor's degree in a technical field (Computer Science ...

Noblis

Data Scientist/Instructor

Springfield, VA · On-site

... e., Computational Thinking, Programming, Statistics, or Data Visualization). * Minimum 5 years of experience focusing on the concepts and applications of data analytics, computer science and ...

NT Concepts

Data Scientist

Chantilly, VA · On-site

Generate representative data sets for systems development and data science initiatives. * Build ... and computational methods. * Develop and/or consult on advanced methodological approaches ...

NT Concepts

Data Scientist

Chantilly, VA · On-site

Generate representative data sets for systems development and data science initiatives. * Build ... and computational methods. * Develop and/or consult on advanced methodological approaches ...

Red Arch Solutions

Data Scientist

Reston, VA · On-site

Utilize advanced tools and computational skills to interpret, connect, predict, and make ... data fusion, and data science tools (Tableau, Python, R, pandas, Jupyter Notebooks etc.

Red Arch Solutions

Data Scientist

Reston, VA · On-site

Utilize advanced tools and computational skills to interpret, connect, predict, and make ... data fusion, and data science tools (Tableau, Python, R, pandas, Jupyter Notebooks etc.

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How much do computational data science jobs pay per hour?

As of May 29, 2026, the average hourly pay for computational data science in Virginia is $56.33, according to ZipRecruiter salary data. Most workers in this role earn between $46.25 and $66.73 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computational Data Scientist, and why are they important?

To thrive as a Computational Data Scientist, you need a strong background in mathematics, statistics, programming (especially Python or R), and data analysis, often supported by a relevant degree in computer science, statistics, or a related field. Proficiency with data manipulation tools (like Pandas, NumPy), machine learning frameworks (such as TensorFlow or Scikit-learn), and cloud computing platforms is highly valued, along with experience using data visualization tools. Critical thinking, problem-solving, communication, and collaboration skills make someone stand out in this role. These abilities are crucial for extracting actionable insights from complex data, building effective models, and communicating findings to drive informed business decisions.

What are some common challenges faced by computational data scientists when working on cross-functional teams?

Computational data scientists often collaborate closely with professionals from diverse backgrounds, such as software engineers, domain experts, and business stakeholders. One common challenge is translating complex technical findings into actionable insights for non-technical team members. Additionally, aligning project goals and expectations across disciplines can require extra communication and flexibility. Overcoming these challenges often involves developing strong interpersonal skills, proactively clarifying requirements, and fostering a collaborative team culture.

What is Computational Data Science?

Computational Data Science is an interdisciplinary field that combines computer science, statistics, and domain knowledge to extract insights and knowledge from complex data sets using computational techniques. Professionals in this field use algorithms, machine learning, and advanced analytics to solve real-world problems by processing and interpreting large volumes of data. The work often involves programming, data modeling, and visualization, making it crucial in industries such as healthcare, finance, and technology. Computational Data Scientists help organizations make data-driven decisions and innovate through predictive modeling and data analysis.

What is the difference between Computational Data Science vs Data Analyst?

AspectComputational Data ScienceData Analyst
Required CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; often includes programming certificationsUsually requires a degree in Statistics, Business, or related fields; may include basic data analysis certifications
Work EnvironmentInvolves programming, modeling, and developing algorithms; often in tech or research settingsFocuses on interpreting data, creating reports, and supporting decision-making; in business or corporate environments
Employer & Industry UsageUsed in tech companies, research institutions, and industries requiring advanced modelingCommon in finance, marketing, healthcare, and business sectors

Computational Data Science involves advanced programming, algorithm development, and modeling, often in technical environments. Data Analysts focus on interpreting data, generating reports, and supporting business decisions. While both roles work with data, Computational Data Scientists typically require stronger programming skills and work on building models, whereas Data Analysts focus on data interpretation and visualization.

What are popular job titles related to Computational Data Science jobs in Virginia? For Computational Data Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Computational Data Science jobs in Virginia look for? The top searched job categories for Computational Data Science jobs in Virginia are:
What cities in Virginia are hiring for Computational Data Science jobs? Cities in Virginia with the most Computational Data Science job openings:
Computational Data Science jobs near you

Scientific Data Analyst

IMAGINEEER LLC

Arlington, VA • On-site, Remote

$110K - $115K/yr

Full-time

Medical, Retirement, PTO

Posted 18 days ago

Job description

Benefits:
  • 401(k) matching
  • Competitive salary
  • Health insurance
  • Paid time off

About this Role:
In this role, you will provide computational, data science, and bioinformatics support for Office of Research Innovation, Validation, and Applications (ORIVA) research validation and application programs across D-NICEATM and DAIBR.
You will develop and maintain NIH databases, build analytical tools, support computational modeling, and deliver data-driven insights to a multidisciplinary team advancing human-centered biomedical research. This role sits at the intersection of data science, regulatory science, and biomedical research.
Key Responsibilities:
  1. Develop and execute analytical workflows to process, analyze, and interpret large-scale biomedical datasets
  2. Apply computational and bioinformatics methods in support of New Approach Methodologies (NAMs) related research objectives
  3. Maintain and enhance NIH databases and tools through data curation, integration, and interoperability support
  4. Build and maintain data pipelines and analytical tools using Python, R, or equivalent languages
  5. Develop and update user support materials, websites, and training resources
  6. Ensure all published materials meet 508-compliance standards
  7. Present complex analytical results clearly to scientific and non-technical audiences
  8. Support data validation, cleansing, and governance per NIH data quality standards

Qualifications and Skills:
  1. PhD in bioinformatics, mathematics, statistics, computer science, data science, or related field with 4+ years of relevant experience OR Master's degree in an equivalent field with 4 years of additional experience
  2. Proficiency in at least two programming languages: Python, R, Perl, or equivalent
  3. Experience with bioinformatics tools, databases, and high-throughput data analysis
  4. Experience managing and integrating large biomedical or genomic datasets
  5. Strong background in statistical analysis, data modeling, and computational methods
  6. U.S. citizenship required; ability to obtain Public Trust clearance

Desired Skills and Competencies:
  1. Expertise in NAMs or computational toxicology
  2. Experience with NIH scientific databases and platforms
  3. Familiarity with in silico modeling, Adverse Outcome Pathway (AOP) frameworks, or ICCVAM/OECD validation standards
  4. Prior NIH and/or HHS contractor experience
  5. Experience with cloud platforms or HPC environments
  6. Peer-reviewed publications in a related field

Equal Opportunity Employer:
We are an Equal Opportunity Employer and do not discriminate in employment decisions on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. All employment decisions are based on business needs, job requirements, and individual qualifications.

Flexible work from home options available.