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Data Science Research Intern Jobs in Frederick, MD

Axle

Data Scientist II

Rockville, MD

... and data science applications to research centers and healthcare organizations nationally and ... abroad. With experts in biomedical science, software engineering, and program management, we focus ...

Merck Group

Data Scientist

Rockville, MD · On-site

$95K - $142K/yr

... R&D, operation and IT. By leading data management and evaluating emerging AI and analytics tools, your efforts directly streamline operations and deliver a competitive edge in the life science ...

Axle

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

You will collaborate closely with scientists, researchers, data scientists, bioinformaticians, application developers, and technical stakeholders to ensure data is accessible, well-structured, secure ...

FTI Consulting

2027 Intern - Technology

Frederick, MD · On-site

$15 - $20/hr

Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ... Research, Risk Management Recruiting Process & Timeline * Application Process: Apply to your ...

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FTI Consulting

2027 Intern - Technology

Hagerstown, MD · On-site

$14 - $18.75/hr

Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ... Research, Risk Management Recruiting Process & Timeline * Application Process: Apply to your ...

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Data Science Research Intern information

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How much do data science research intern jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data science research intern in Frederick, MD is $22.38, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $24.38 per hour, depending on experience, location, and employer.

What does a data science research intern do?

A Data Science Research Intern works on analyzing data, building predictive models, and supporting research projects under the guidance of experienced data scientists. Their tasks often include cleaning and visualizing data, implementing machine learning algorithms, and evaluating model performance. Interns may also help with literature reviews, prototyping new solutions, and presenting findings to the team. This role provides hands-on experience with real-world datasets and the opportunity to learn industry-standard tools and techniques.

What skills and qualifications are needed to thrive as a data science research intern?

To thrive as a Data Science Research Intern, you need a solid grounding in statistics, programming (typically Python or R), and data analysis, usually backed by coursework or a degree in a quantitative field. Familiarity with tools like Jupyter Notebooks, machine learning libraries (e.g., scikit-learn, TensorFlow), and version control systems (e.g., Git) is commonly expected. Strong problem-solving abilities, curiosity, and effective communication make candidates stand out by enabling them to tackle complex problems and share insights clearly. These skills are essential for contributing meaningful research, collaborating with team members, and translating data findings into actionable results.

How do data science research interns typically collaborate with full-time data scientists and engineering teams?

Data Science Research Interns often work closely with full-time data scientists to support ongoing projects, contribute to research discussions, and assist in developing analytical models. They may also interact with engineering teams to understand data pipelines, verify data integrity, and help implement prototypes into production environments. Regular meetings, code reviews, and paired problem-solving sessions are common, providing interns with valuable mentorship and exposure to real-world workflows. This collaborative environment helps interns build both technical and communication skills while making meaningful contributions to the team's goals.

What job categories do people searching Data Science Research Intern jobs in Frederick, MD look for?

The top searched job categories for Data Science Research Intern jobs in Frederick, MD are:

Data Science Research Intern jobs near you
Infographic showing various Data Science Research Intern job openings in Frederick, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,541 per year, or $22.4 per hour.

NIST PREP Postdoc Associate in Interdisciplinary Data Science Research

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$85K - $95K/yr

Full-time

Posted 17 days ago

Job description

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
The position is intended for either a postdoctoral associate with expertise in applied data science and a strong interest in interdisciplinary research. The successful candidate will work collaboratively with mathematicians and experimental scientists at NIST to develop mathematical and statistical algorithms for the uncertainty quantification of seized chemical samples. These methods will support the identification, classification, and quantification of trace chemical components, with a particular emphasis on data generated by mass spectrometry. A such, a central objective of the project is to develop advanced chemometric methods that improve the classification and identification of seized drug samples, ultimately enabling more accurate prediction of spatial and temporal changes in the illicit drug supply. The research is highly interdisciplinary and will require close collaboration with mathematicians developing computational models and algorithms, as well as experimental scientists responsible for collecting, processing, and interpreting the underlying measurement data.
Key responsibilities will include but are not limited to:
  • Implementing optimized calculations to study AI classification algorithms.
  • Assessing uncertainty in classification of experimental data.
  • Computationally testing mathematical models relating uncertainty quantification.
  • Significant software development (most likely python)
  • Disseminating results through posters/seminars at international meetings and university seminars
  • Ensuring that all results, findings, data, software...etc. have been correctly archived and transmitted through appropriate channels

Qualifications
  • Either a PhD degree (or close to completion) in data science or related field.
  • Minimum of 1 year of experience conducting data science research
  • Significant course work in mathematics, statistics and/or computer science
  • Familiarity with larger computational and AI/ML software packages
  • Ability to program in a modern computational language (e.g. python)

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0005035

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