Virginia Tech

Research Associate, Data Science

Virginia Tech • $100K — $150K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Statistics, Data Science, Computer Science, or related field; or Bachelor's degree with 3+ years relevant experience.
  • Proven experience in artificial intelligence and machine learning.
  • Familiarity with machine learning tools like TensorFlow, PyTorch, Hugging Face.
  • Proficient in Python, MATLAB, R, JMP, or similar statistical tools.
  • Experience working collaboratively on research and development projects.
  • Strong potential for research excellence as evidenced by academic or professional history.
  • US citizenship and clearance eligibility.

Responsibilities

  • Support research projects in design of experiments, time series analysis, and anomaly detection.
  • Contribute to technical documents and peer-reviewed papers.
  • Mentor students involved in program initiatives.
  • Collaborate with interdisciplinary teams to tackle technological challenges.
  • Engage in system engineering and test and evaluation processes in AI contexts.

Benefits

  • Collaboration with experts across multiple disciplines.
  • Opportunity to work on cutting-edge technological challenges in AI and data science.
  • Mentorship experience with students.
  • Rich academic environment fostering research development.
Full Job Description
Research Associate, Data Science

Job no: 537973
Work type: Research Faculty
Senior management: Vice President for Research
Department: VTNSI
Location: Arlington, Virginia
Categories: Information Systems / Technology, Research / Scientific, Data Analytics / Security

Job Description

The Intelligent Systems Division (ISD), one of the three research divisions of VTNSI, is seeking a Research Associate in Data Science to conduct research in artificial intelligence, systems engineering and test and evaluation (T&E). This is a research and development position that may be based in Arlington, Virginia. ISD brings together researchers from computer science, statistics, machine learning, networks, signals processing and other fields to develop interdisciplinary solutions to cutting-edge technological challenges. Successful candidates for this position will have relevant experience in one or more of the following areas: statistics, systems engineering, data science, computer science, software development, and T&E.

Specific responsibilities include the following:
1. Support research conducted in ISD in projects focused on design of experiments, time series analyses, anomaly detection, natural language processing, large scale data infrastructure, and test and evaluation, computer vision, cyber security, systems engineering, and T&E
2. Contribute to technical documents/presentations and peer-reviewed academic papers
3. Provide mentorship to students working on programs

Required Qualifications
• Master's degree in Statistics, Data Science, Computer Science, or related discipline; or an earned Bachelor's degree with a minimum of 3 years post-degree relevant experience in Statistics, Data Science, Computer Science, Mathematics or relevant discipline.
• Experience with artificial intelligence and machine learning.
• Experience with common machine learning software packages such as Tensor Flow, PyTorch, Hugging Face, etc.
• Proficiency in Python, MATLAB, R, JMP or related statistical analysis tools.
• Demonstrated ability to work as a member of a team in executing research and/or development projects.
• Evidence of high potential for excellence in research and development as demonstrated through academic study or experience.
• US citizenship.
• Ability to obtain and maintain a clearance.

Preferred Qualifications
• Active security clearance.
• Experience working in an academic environment.
• Experience with the T&E of AI-enabled systems.
• Proficiency with generative artificial intelligence such as large language models.
• Experience with software development.
• Experience executing on research and/or development programs supporting the federal government.
• Interest and/or experience working effectively with a diverse faculty, staff and student population.

Overtime Status

Exempt: Not eligible for overtime

Appointment Type

Restricted

Salary Information

$100,000 - $150,000

Hours per week

40

Review Date

October 14, 2026

Additional Information

Due to the nature of our work, the successful candidates must be US citizens with the ability to obtain and maintain a security clearance.

The successful candidate will be required to have a criminal conviction check.

Advertised: September 30, 2026
Applications close:

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About Virginia Tech

Virginia Tech is a public land-grant research university with its main campus in Blacksburg, Virginia. It was founded in 1872 and is the largest university in the state of Virginia. The university offers over 280 undergraduate and graduate degree programs to more than 34,000 students. Virginia Tech is known for its research in fields such as engineering, agriculture, and life sciences. The university is also home to the Hokie Stone, a type of limestone used in many of the buildings on campus.
Learn more about Virginia Tech
Size
13,700 employees
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