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Mathematical Modeling Research Assistant Jobs (NOW HIRING)

Howard University

Research Assistant

Washington, DC · On-site

$24/hr

The Research Assistant will contribute to interdisciplinary projects within the Department of ... Develop, train, and evaluate machine learning and deep learning models . * Review scientific ...

Columbia University

Research Assistant

New York, NY · On-site

$58K - $62K/yr

Position Summary A Research Assistant position is available immediately in the Laboratory for Stem ... modeling applications, with a focus on cystic fibrosis. Maintain standardized protocols for ...

NCSU

Research Assistant - Machado Lab

Raleigh, NC

The lab's research focuses on mathematical modeling of disease spread based on real-world ... Lab Coordination - Assist with scheduling and maintaining Machado Lab activities, including ...

Federal Reserve System

Research Assistant

Chicago, IL · On-site

$75K/yr

... Mathematics and Computer Science to support academic research and policy work by staff economists ... code for model estimation; collecting and managing data; and preparation of briefings. This ...

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How much do mathematical modeling research assistant jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for mathematical modeling research assistant in the United States is $21.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $25.48 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Mathematical Modeling Research Assistant, and why are they important?

A Mathematical Modeling Research Assistant should have a strong background in mathematics, statistics, and analytical problem-solving, typically supported by a degree in mathematics, engineering, or a related field. Proficiency in programming languages (such as Python, MATLAB, or R), statistical analysis software, and familiarity with modeling tools are commonly required. Strong attention to detail, effective communication, and the ability to collaborate within research teams are essential soft skills. These skills ensure accurate model development, clear interpretation of results, and productive contributions to research projects.

What types of projects or problems do Mathematical Modeling Research Assistants typically work on, and how do they contribute to research teams?

Mathematical Modeling Research Assistants often work on projects involving the development and analysis of mathematical models to simulate real-world phenomena, such as disease spread, financial trends, or engineering systems. They contribute by gathering and cleaning data, coding simulations (often in Python or MATLAB), and interpreting model results. Collaboration with principal investigators, domain experts, and other assistants is common to refine models and validate findings. This role offers meaningful exposure to interdisciplinary teamwork and can lead to advanced research or academic opportunities.

What is the difference between Mathematical Modeling Research Assistant vs Data Analyst?

AspectMathematical Modeling Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Mathematics, Statistics, or related fieldBachelor's or Master's in Statistics, Data Science, or related field
Work EnvironmentResearch labs, academic institutions, or industry R&D teamsBusiness, finance, healthcare, or tech companies
Industry UsageAcademic research, government projects, industry R&DData-driven decision making, reporting, and analytics
Common Search/ComparisonYesNo

The Mathematical Modeling Research Assistant focuses on developing and analyzing mathematical models for research purposes, often in academic or R&D settings. In contrast, Data Analysts primarily interpret data to support business decisions. While both roles require strong analytical skills, the modeling assistant emphasizes mathematical theory and research, whereas data analysts focus on data interpretation and reporting.

What are Mathematical Modeling Research Assistants?

Mathematical Modeling Research Assistants are individuals who support research projects by applying mathematical techniques to analyze and solve complex problems. They often work with data, develop models to simulate real-world systems, and assist in interpreting results for various scientific, engineering, or economic studies. Their responsibilities may include coding, statistical analysis, and preparing reports or presentations. These assistants typically collaborate closely with lead researchers and may also help design experiments or collect data.
What cities are hiring for Mathematical Modeling Research Assistant jobs? Cities with the most Mathematical Modeling Research Assistant job openings:
What states have the most Mathematical Modeling Research Assistant jobs? States with the most job openings for Mathematical Modeling Research Assistant jobs include:
Research Assistant

Research Assistant

Howard University

Washington, DC • On-site

$24/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Howard University rating

8.7

Company rating: 8.7 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

40th of 535 rated colleges and universities

Job description

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.
At Howard University, we prioritize well-being and professional growth.
Here is what we offer:
  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
  • Work-Life Balance: PTO, paid holidays, flexible work arrangements
  • Financial Wellness: Competitive salary, 403(b) with company match
  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!
https://hr.howard.edu/benefits-wellness
The Research Assistant will contribute to interdisciplinary projects within the Department of Internal Medicine at the Howard University College of Medicine, focusing on Artificial Intelligence (AI), Machine Learning (ML), Computational Medicine, and Data Analytics. This position supports ongoing research aimed at developing predictive, diagnostic, and intervention models that advance healthcare delivery, improve patient outcomes, and address complex challenges in precision and population health.
The Research Assistant will work closely with the Principal Investigator and research collaborators to perform data-driven analysis, computational modeling, and literature reviews. This role provides valuable hands-on experience for students interested in research at the intersection of AI and medicine.
Duties and Responsibilities:
  • Assist with data collection, curation, preprocessing, and integration from diverse biomedical and clinical sources.
  • Conduct exploratory data analysis, data visualization, and feature engineering.
  • Develop, train, and evaluate machine learning and deep learning models.
  • Review scientific literature and summarize findings to support ongoing research projects.
  • Contribute to technical documentation, manuscripts, and progress reports.
  • Collaborate effectively with interdisciplinary teams across research and clinical domains.
  • Maintain accurate records of research workflows, results, and code repositories.

Minimum Qualifications:
  • Current enrollment in a Bachelor's, Master's, or Ph.D. degree program in Computer Science, Data Science, Biomedical Engineering, or a related field.
  • Must be at least a third-year undergraduate student (Junior or Senior status) or higher.
  • Demonstrated proficiency in Python and related libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
  • Familiarity with data analysis and visualization using tools such as Matplotlib, Seaborn, or Plotly.
  • Foundational understanding of AI, machine learning, and data science concepts.
  • Strong analytical thinking, problem-solving, and written communication skills.
  • Ability to work independently and collaboratively in a research environment.

Preferred Qualifications:
  • Experience working with biomedical, clinical, or public health datasets.
  • Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, or Microsoft Azure).
  • Experience with version control systems (e.g., Git/GitHub).
  • Prior research or academic publication experience.

Compliance Salary Range Disclosure
$24.00 per hour

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