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Computational Data Science Jobs in Virginia (NOW HIRING)

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 ...

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 ...

Fanniemae

Audit Data Science Advisor

Reston, VA

You will apply deep expertise in data science, machine learning, AI techniques, large-scale data processing, computational programming, and practical problem solving, with the ability to clearly ...

Tulk LLC

Data Science SME Mid

Fort Belvoir, VA · On-site

$115K - $157K/yr

... e., Computational Thinking, Programming, Statistics, or Data Visualization). * Education ... science and programming, data modeling, Artificial intelligence and machine learning. What We Value

Tulk LLC

Data Science SME Senior

Fort Belvoir, VA · On-site

$120K - $171K/yr

Data Science SME Senior TULK supports U.S. national security customers with cleared experts who ... e., Computational Thinking, Programming, Statistics, or Data Visualization). * Education:

NS2 Mission

Data Scientist

Arlington, VA · On-site

$120 - $180/hr

Design and develop data science solutions utilizing statistical analysis, machine learning, artificial intelligence, and predictive analytics techniques. * Build computational models that improve ...

Tulk LLC

Data Science SME Lead

Fort Belvoir, VA · On-site

$120K - $189K/yr

Data Science SME Lead TULK supports U.S. national security customers with cleared experts who ... e., Computational Thinking, Programming, Statistics, or Data Visualization). * Education:

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 ...

Leidos

Data Scientist

Arlington, VA · On-site

$69K - $125K/yr

... Computational Social Science; or Master's degree or equivalent graduate degree including ... Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift.

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Computational Data Science information

See Virginia salary details

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$56

$80

How much do computational data science jobs pay per hour?

As of Aug 12, 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 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 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 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 are the key skills and qualifications needed to thrive as a computational data scientist?

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 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
Infographic showing various Computational Data Science job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $117,157 per year, or $56.3 per hour.

Scientific Data Analyst

IMAGINEEER LLC

Arlington, VA • On-site

$110K - $115K/yr

Full-time

Medical, Retirement, PTO

Re-posted 3 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 Application’s (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.