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Quantitative Science Jobs in Virginia (NOW HIRING)

Ventus Solutions

Quantitative Analyst SETA

Arlington, VA · On-site

$150 - $195/hr

Master's degree or PhD in Economics, Data Science, Applied Mathematics, or a related quantitative field. * 5+ years of relevant experience in quantitative economic modeling, advanced econometrics ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

Coursework or work experience applying finance, statistics, mathematics, data science, and computer programming techniques to quantitative modeling problems in the financial industry. * Relevant ...

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Quantitative Science information

What is a quantitative science?

A Quantitative Science job involves applying mathematical, statistical, and computational techniques to analyze data and solve complex problems. Professionals in this field work across industries such as finance, healthcare, technology, and research, using models and algorithms to derive insights and make data-driven decisions. They often work with large datasets, employing machine learning, statistical modeling, and data visualization to interpret results. Strong analytical skills and proficiency in programming languages like Python, R, or SQL are commonly required.

What are some typical projects or tasks a quantitative science professional might work on?

A Quantitative Science professional often works on projects such as developing predictive models, designing experiments or surveys, analyzing large datasets, and reporting findings to stakeholders. You might collaborate closely with data engineers, business analysts, and subject matter experts to translate complex data insights into actionable recommendations. It's common to use statistical software and programming languages daily, and project work can range from short-term analyses to long-term research initiatives. The role offers a stimulating mix of independent analytical work and cross-functional teamwork, with opportunities to contribute to strategic decisions within an organization.

What are the key skills and qualifications needed to thrive in the quantitative science position, and why are they important?

To thrive in a Quantitative Science role, you need a strong background in mathematics, statistics, and data analysis, typically supported by an advanced degree in a quantitative discipline. Familiarity with programming languages such as Python or R, statistical modeling software, and experience with data visualization tools are highly valued. Problem-solving, critical thinking, and the ability to communicate complex findings clearly are important soft skills for success. These abilities are essential for accurately interpreting data, informing business or research decisions, and collaborating effectively with multidisciplinary teams.

What does a quantitative science do?

A professional in quantitative science analyzes numerical data to solve complex problems, often using statistical, mathematical, and computational methods. They work in fields like finance, research, or technology, utilizing tools such as programming languages and data analysis software to develop models and inform decision-making.

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

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

What job categories do people searching Quantitative Science jobs in Virginia look for?

The top searched job categories for Quantitative Science jobs in Virginia are:

Quantitative Science jobs near you
Infographic showing various Quantitative Science job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

Postdoc Research Associate, Genome Sciences

Charlottesville, VA • On-site

University of Virginia
Colleges, Universities, and Professional Schools • 10K+ employees

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

210th of 622 rated colleges and universities

People enjoy working here

Good employer

Recommended by students

Learn more about University of Virginiaexternal

Full-time

Re-posted 15 days ago

Job description

Job Summary:
The University of Virginia is seeking multiple Postdoctoral Research Associates in the field of bioinformatics and computational biology within Dr. Chongzhi Zang's laboratory. The role involves developing computational methods for genomics technologies and integrating data science to study gene regulation and chromatin in mammalian cells and human diseases.
Responsibilities:
• Develop computational methods for high-throughput genomics technologies.
• Integrate data science and experimental approaches to study chromatin and gene regulation.
• Conduct statistical modeling and advanced machine learning/AI method development for predicting transcriptional regulation from multi-omics data.
• Develop computational methods for single-cell epigenomic sequencing and image-based spatial-omics data analysis.
• Perform computational and experimental studies on chromatin regulation, transcriptional condensates, and liquid-liquid phase separation.
• Research epigenetics and transcriptional regulation in human cancer and immune systems.
Qualifications:
Required:
• A Ph.D. or equivalent degree in any quantitative science, including but not limited to Bioinformatics, Computational Biology, Applied Mathematics, Statistics, Physics, Chemistry, Computer Science, Data Science, Engineering, or a related field is required by the start date.
Preferred:
• Proficient in Python (or C/C++) & R programming.
• Strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc.) or computational genomics experience (e.g., high-throughput sequencing data analysis, etc.).
• At least one peer-reviewed publication written in English in the previous area of research (not necessarily related to biology) with submitted, accepted, or published status at the time of application.
Company:
The University of Virginia was founded in 1819 as the model for modern universities that has since been emulated all over the world. Founded in 1819, the company is headquartered in Charlottesville, USA, with a team of 10001+ employees. The company is currently Late Stage.
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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

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Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

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