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Math Research Assistant Jobs in Frederick, MD (NOW HIRING)

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Math Research Assistant information

See Frederick, MD salary details

$9

$22

$45

How much do math research assistant jobs pay per hour?

As of May 28, 2026, the average hourly pay for math research assistant in Frederick, MD is $22.98, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $25.88 per hour, depending on experience, location, and employer.

What is a Math Research Assistant job?

A Math Research Assistant supports mathematical research by performing literature reviews, running computations, analyzing data, and assisting in writing reports or papers. They work under the guidance of a professor or lead researcher, often in an academic or institutional setting. Tasks may include coding simulations, proving theorems, or organizing research findings. Strong analytical skills and proficiency in mathematical software are often required.

What are the key skills and qualifications needed to thrive in the Math Research Assistant position, and why are they important?

To thrive as a Math Research Assistant, you need a strong foundation in advanced mathematics, analytical problem-solving, and research methodology, often supported by a bachelor's or master's degree in mathematics or a related field. Familiarity with mathematical modeling software (such as MATLAB or Mathematica), data analysis tools, and occasionally programming languages like Python is beneficial. Attention to detail, effective communication, and collaborative teamwork are vital soft skills in this role. These abilities ensure accurate research contributions, effective data analysis, and seamless coordination within research teams.

What does a typical day look like for a Math Research Assistant?

A typical day for a Math Research Assistant often involves collaborating with lead researchers or professors to gather and analyze data, conducting literature reviews, and running mathematical simulations or computations using specialized software. You may also assist in preparing reports, presentations, or research papers and participate in group meetings to discuss ongoing projects or share findings. The role is highly collaborative, often requiring regular interaction with faculty members, fellow assistants, and sometimes external research partners. This dynamic environment provides valuable exposure to the research process and helps build a solid foundation for advanced study or future roles in academia or industry.
What are popular job titles related to Math Research Assistant jobs in Frederick, MD? For Math Research Assistant jobs in Frederick, MD, the most frequently searched job titles are:
What cities near Frederick, MD are hiring for Math Research Assistant jobs? Cities near Frederick, MD with the most Math Research Assistant job openings:
Infographic showing various Math Research Assistant job openings in Frederick, MD as of May 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $47,801 per year, or $23 per hour.

NIST PREP Research Associate in AI for Engineering Biology

Southeastern Universities Research Association

Gaithersburg, MD โ€ข On-site

$100K - $110K/yr

Full-time

Posted 18 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.
Research Title: AI Researcher: Engineering Biology
The work will entail: Plan and conduct research to advance measurement capabilities to aid in the predictive engineering of biological systems, such as proteins, as part of the NIST Engineering Biology Program. Develop artificial intelligence and machine learning analysis pipelines to support automation and protocol development for wetlab procedures, as well as development of platforms for new, quantitative measurements and validated methods for evaluating the functional performance of engineered biological parts and systems. Develop automation workflows for bottleneck processes in biosecurity screening and synthetic biology. Support NIST's mission through service as a subject matter expert in the application of artificial intelligence and machine learning to measurement innovation in synthetic biology. Engage stakeholders and identify opportunities for standards development.
US Citizen Preferred
Key responsibilities will include but are not limited to:
  • Perform measurement analysis using artificial intelligence and/or machine learning
  • Generate and maintain analysis software, along with documentation
  • Conduct analysis and assist staff in conducting analysis
  • Maintain and administer hardware solutions for project and group compute tasks
  • Advise Division and NIST management as a subject matter expert
  • Organize, conduct, and attend relevant meetings, and provide written summaries or other documentation to NIST management and stakeholders
  • Obtain and provide relevant information to inform NIST management and stakeholders
  • Maintain deep technical knowledge of advances in the application of artificial intelligence and machine learning to measurement challenges in synthetic biology, such as those relevant to biosafety and biosecurity
  • Demonstrate attention to detail
  • Execute novel technical research
  • Support sequence to function research for protein engineering
  • Develop and apply infrastructure for data analysis
  • Establish and document standard operating procedures for analysis pipelines

Qualifications
  • A PhD in Computer Science, Engineering, Manufacturing, or a related field.
  • 2 years of relevant experience.
  • Familiarity with DevOps and CICD pipelines.
  • Ability to work with real-time event data at scale.
  • Familiarity with multiple scripting languages.
  • Ability to develop prototypes of tools needed to analyze data.
  • Strong oral and written communication skills.

Privacy Act StatementAuthority: 15 U.S.C. ยง 278g-1(e)(1) and (e)(3) and 15 U.S.C. ยง 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.
PREP0004155