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Research Data Associate Jobs in Frederick, MD (NOW HIRING)

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How much do research data associate jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for research data associate in Frederick, MD is $32.35, according to ZipRecruiter salary data. Most workers in this role earn between $26.06 and $36.83 per hour, depending on experience, location, and employer.

What is a research data associate?

Research Data Associates are professionals who support research projects by managing, analyzing, and interpreting data. They are responsible for collecting data, ensuring its quality, maintaining databases, and preparing reports or summaries for research teams. Their work is essential in academic, medical, or industrial research settings, where accurate and reliable data is crucial for decision-making and publication. Research Data Associates often collaborate with researchers, statisticians, and IT staff to ensure data integrity and security.

What are the key skills and qualifications needed to thrive as a research data associate?

To thrive as a Research Data Associate, you generally need strong quantitative analysis skills, attention to detail, and a relevant bachelor's degree in fields like statistics, data science, or a related discipline. Familiarity with data management tools such as SQL, SPSS, R, or Python, as well as experience with data collection and cleaning processes, is typically required. Effective communication, problem-solving, and collaboration skills help Research Data Associates work efficiently within research teams and convey findings clearly. These competencies ensure accurate data handling, meaningful analysis, and the reliability of research outcomes.

What are some common challenges research data associates face when managing large datasets, and how can they be addressed?

Research Data Associates often encounter challenges such as ensuring data quality, maintaining accurate documentation, and handling missing or inconsistent data within large datasets. To address these, they typically implement rigorous data cleaning protocols, work closely with research teams to standardize data collection processes, and use specialized software for data validation. Collaborating with statisticians and IT staff is also essential to resolve technical issues and maintain data integrity throughout the project lifecycle.

What are the most commonly searched types of Research Data jobs in Frederick, MD?

The most popular types of Research Data jobs in Frederick, MD are:

What cities near Frederick, MD are hiring for Research Data Associate jobs?

Cities near Frederick, MD with the most Research Data Associate job openings:

Research Data Associate jobs near you
Infographic showing various Research Data Associate job openings in Frederick, MD as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $67,298 per year, or $32.4 per hour.

NIST PREP Postdoc Associate in Interdisciplinary Data Science Research

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$85K - $95K/yr

Full-time

Re-posted 3 hours 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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