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Computational Social Science Jobs in Virginia (NOW HIRING)

... science discipline - genomics, bioinformatics, computational biology, statistics or a closely ... Vibrant Social Culture: From regular Town Halls and team picnics to organised sports events, our ...

AI/ML Intern (Summer 2027)

Reston, VA · Hybrid

$21 - $30/hr

Rising juniors and seniors working toward a bachelor's degree in Computational Science, Artificial ... Regular team and company social events including our annual party, happy hours, fitness challenges ...

AI/ML Intern (Summer 2027)

Reston, VA · On-site

$21 - $30/hr

Rising juniors and seniors working toward a bachelor's degree in Computational Science, Artificial ... Regular team and company social events including our annual party, happy hours, fitness challenges ...

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Computational Social Science information

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How much do computational social science jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for computational social science in Virginia is $54.46, according to ZipRecruiter salary data. Most workers in this role earn between $46.49 and $72.93 per hour, depending on experience, location, and employer.

What is computational social science?

Computational social science is an interdisciplinary field that uses computational methods, such as data analysis, simulations, and modeling, to study social phenomena and human behavior. It combines tools from computer science, statistics, and social sciences to analyze large-scale social data, like social media activity, online interactions, or census records. This approach helps researchers uncover patterns and trends that would be difficult or impossible to detect using traditional social science methods alone.

What types of data sources and analytical methods are commonly used in computational social science roles?

In Computational Social Science positions, professionals typically work with large and diverse datasets, including social media feeds, digital communication records, surveys, and online behavioral data. Analytical methods often involve a mix of quantitative techniques such as network analysis, machine learning, natural language processing, and agent-based modeling. Collaborative projects may require integrating insights from computer science, sociology, and statistics, making interdisciplinary teamwork a frequent part of the role. Adapting to evolving data privacy guidelines and ensuring ethical data use are also important daily considerations.

What are the key skills and qualifications needed to thrive as a computational social scientist, and why are they important?

To thrive as a Computational Social Scientist, you need a solid background in social science research methods, statistics, and programming—often supported by an advanced degree in a relevant field. Familiarity with data analysis tools such as Python, R, machine learning libraries, and experience with large datasets or social network analysis software is typical. Strong analytical thinking, interdisciplinary collaboration, and effective communication skills help you interpret results and convey insights to diverse audiences. These competencies are crucial for generating impactful, data-driven insights into complex social phenomena and informing decision-making.

What is the difference between Computational Social Science vs Data Scientist?

AspectComputational Social ScienceData Scientist
Required CredentialsSocial science background, programming skillsStatistics, programming, domain knowledge
Work EnvironmentResearch institutions, academia, social research firmsTech companies, finance, healthcare
Employer & Industry UsageUniversities, government agencies, social research organizationsCorporations, startups, consulting firms
Common Search & ComparisonYesYes

Computational Social Science focuses on analyzing social phenomena using computational methods rooted in social science theories, often within academic or research settings. Data Scientists, however, apply statistical and machine learning techniques to large datasets across various industries. While both roles require programming skills, Computational Social Science emphasizes social theory and research, whereas Data Science centers on data analysis and business insights.

What can I do with a computational social science degree?

A computational social science degree prepares individuals for roles such as data analyst, social data scientist, or research analyst, where they analyze social data using statistical tools, programming languages like Python or R, and modeling techniques. Graduates can work in academia, government agencies, or private sector organizations focused on social research, policy analysis, or market research. Strong skills in data analysis, machine learning, and social theory are often essential for these positions.

What are popular job titles related to Computational Social Science jobs in Virginia?

For Computational Social Science jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Computational Social Science jobs?

Cities in Virginia with the most Computational Social Science job openings:

Infographic showing various Computational Social Science job openings in Virginia as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $113,270 per year, or $54.5 per hour.

Executive Director, Clinical Data Science

Eisai

Charlottesville, VA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you.

We are seeking a visionary leader to shape and drive Clinical Data Science strategy across our global clinical development portfolio. This role ensures the rigorous application of statistical principles and advanced data science methodologies to optimize clinical trial efficiency and accelerate innovation. The Executive Director will spearhead the integration of AI/ML solutions for applications in disease diagnosis, modeling, imaging, genomics, proteomics, and precision medicine. Acting as the primary data science representative to global regulatory authorities, this individual will defend strategies and influence industry standards.

Strategic Leadership:

  • Define and execute Clinical Data Science strategies for clinical studies and development plans across the portfolio.
  • Serve as the primary spokesperson for Data Science at Health Authority meetings, leading preparation of responses and influencing regulatory perspectives.

Innovation & Execution:

  • Drive adoption of cutting-edge AI/ML methodologies for disease modeling, biomarker analysis, and precision medicine.
  • Oversee multiple large-scale, critical data science initiatives, ensuring timely, high-quality deliverables aligned with industry best practices.

Risk Management & Problem Solving:

  • Evaluate analytical options, proactively identify risks, and develop novel solutions to complex challenges.

Thought Leadership & External Engagement:

  • Represent the organization at technical seminars and conferences; build networks with industry experts to advance best practices.

Team Leadership & Development:

  • Manage and mentor a diverse team of data scientists and people managers across geographies.
  • Foster career growth through open dialogue, performance management, and strategic development planning.

Operational Excellence:

  • Ensure GxP compliance in data science programming for clinical trials.
  • Manage budgets, vendor relationships, and third-party deliverables to maintain quality and efficiency.

Executive Communication:

  • Deliver clear, compelling communication of complex data science concepts to internal and external stakeholders with executive presence.

Qualifications

  • Ph.D. in Biostatistics or a Master's Degree in Biostatistics in combination with a Ph.D.in Bioinformatics or related computational sciences.
  • Deep expertise in statistical methods and their application in clinical trials.
  • Minimum 10 years of industry experience in clinical development, including Data Science and Biostatistics.
  • Recognized thought leader in at least one data science discipline (e.g., AI/ML modeling, precision medicine).
  • Proven experience presenting at external forums and influencing regulatory authorities.
  • Strong people leadership experience in a Data Science setting.
  • Prior research experience in neurology, particularly Alzheimer's disease biomarkers (plasma, CSF, imaging), strongly preferred.

Eisai Salary Transparency Language:

The annual base salary range for the Executive Director, Clinical Data Science is from :$273,200-$358,600Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan.

Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills.

Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://careers.eisai.com/us/en/compensation-and-benefits.

Certain other benefits may be available for this position, please discuss any questions with your recruiter.

Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans.

Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

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About Eisai

Sourced by ZipRecruiter

Eisai is a global pharmaceutical company (headquartered in Woodcliff Lake, NJ, US), renowned for its innovative research and development in neuroscience and oncology. The primary focus of the company is to provide therapeutic treatments and solutions for diseases like Alzheimer's, cancer, and other neurological disorders. Eisai was founded in Japan in 1941 and has since developed a strong presence across international markets. Eisai's core values center around their philosophy of 'human health care' (hhc), where they aim to make significant and positive contributions to patients and their families' healthcare worldwide.

Industry

Pharmaceutical and medicine manufacturing and biotechnology research and development

Company size

1,001 - 5,000 Employees

Headquarters location

Nutley, NJ, US

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