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Math Research Assistant Jobs in Edison, NJ (NOW HIRING)

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Math Research Assistant information

What is a math research assistant?

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 does a math research assistant do?

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 the key skills and qualifications needed to thrive as a math research assistant?

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 are the most commonly searched types of Math Research jobs in Edison, NJ?

The most popular types of Math Research jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Math Research Assistant jobs?

Cities near Edison, NJ with the most Math Research Assistant job openings:

Infographic showing various Math Research Assistant job openings in Edison, NJ as of September 2026, with employment types broken down into 100% Full Time. Highlights an 93% In-person, and 7% Hybrid job distribution.

Institutional Research Specialist (Data Integration) - Office of Institutional Research Analysis

New York, NY • On-site

The City University of New York
Colleges, Universities, and Professional Schools • 10K+ employees

Full-time

Medical, Retirement, PTO

Posted 7 days ago


City University of New York rating

7.5

Company rating: 7.5 out of 10

Based on 53 frontline employees who took The Breakroom Quiz


Job description

Institutional Research Specialist (Data Integration) - Office of Institutional Research Analysis **POSITION DETAILS** The CUNY School of Medicine (CUNY SoM) located in the heart of Harlem, New York, is the only medical school in the City University of New York system and the only public medical school in Manhattan. Building upon 50 years of success as the Sophie Davis School of Biomedical Education, the institution transitioned to the CUNY School of Medicine (SoM) in 2016. The CUNY SoM offers an accelerated BS/MD degree (7-year program) and a Physician Assistant Master's Degree (27 months program). True to its legacy of access, opportunity, and community transformation, the medical school's mission remains to recruit highly talented students as diverse as New York City itself. CUNY SoM places a special emphasis on the recruitment of those who are underrepresented in the field of medicine and on training high quality, culturally competent health professionals and scientists equipped to address the healthcare needs of New York's medically under-served communities. As a major priority, CUNY SoM also seeks to enhance the recruitment and retention of senior leadership, faculty, and staff to more closely reflect the diversity of our student body. CUNY SoM is seeking a Institutional Research Specialist (Data Integration),the Institutional Research Specialist - Data Integration will be responsible for designing, implementing, and maintaining data integration solutions at the CUNY School of Medicine. This role involves collaborating with multiple departments to ensure seamless data flow and integration. Located within the Office of Institutional Research Analysis, this role supports the office's institutional research, assessment, accreditation, and strategic decision support activities. In addition to the summary, the Institutional Research Specialist - Data Integration will be responsible for but not limited to the following: + Develop and maintain data integration solutions for student information systems, learning management systems, and other educational technologies, using appropriate tools to extract, transform, and load data. + Collaborate with stakeholders, including faculty, staff, and administration, to understand data requirements and design integration processes. + Monitor and troubleshoot data integration workflows to ensure data accuracy and integrity. + Perform data mapping, transformation, and validation to support academic and administrative needs. + Document data integration processes and provide training to end-users. + Stay updated with industry trends and best practices in data integration. + Support data quality by recommending and enforcing data quality standards and procedures. + Conduct regular data quality assessments and audits to identify and resolve data issues. + Implement data cleansing and validation techniques to ensure high-quality data. + Collaborate with data stewards and other stakeholders to improve data quality across the institution. + Ensure compliance with data privacy regulations and institutional policies. + Perform other duties as assigned by the Associate Dean of Institutional Effectiveness and Assessment or designee. **QUALIFICATIONS** Bachelor's Degree and four years' relevant experience required. **Preferred:** + Master's degree Mathematics, Statistics, Computer Science, or related field. + Five to eight years of experience in data integration, database administration, power analysis estimation, software development fundamentals, or a related field in higher education. + Proficiency in Microsoft 365 BI tools and languages (Power BI, Power Automate, DAX, M), and SQL. + Ability to develop and maintain data transformation scripts and workflows. + Strong understanding of data integration processes to ensure data accuracy and consistency. + Ability to troubleshoot and resolve data integration issues. + Knowledge of industry best practices and emerging technologies in data integration. + Excellent problem-solving skills and attention to detail. + Ability to collaborate effectively with IT and other stakeholders throughout the school. + Strong communication and collaboration skills. + Must be ethical, have integrity, strong interpersonal and analytical skills. + Excellent analytical and problem-solving skills. + Strong verbal and written communication skills, with the ability to present data findings to non-technical stakeholders. + Knowledge of CUNY First architecture and reporting practices. + Experience working with student learning data from Learning Management Systems (LMS) and other systems. **CUNY TITLE OVERVIEW** Oversees collection and assessment of data for Institutional Research purposes. - Compiles, maintains, and analyzes institutional data in various formats - Produces reports and metrics based on department's needs; responds to time-critical ad-hoc requests - Loads, extracts, edits, and evaluates data for reporting and analytics - Maintains selected databases and document libraries, updating and ensuring data quality and accuracy - May participate in internal and external surveys as needed - May consult with others in designing methodology for research projects - Performs related duties as assigned. **CUNY TITLE** Higher Education Assistant **FLSA** Exempt **COMPENSATION AND BENEFITS** Salary Range: $57,252 - $86,741 Salary commensurate with education and experience. CUNY's benefits contribute significantly to total compensation, supporting health and wellness, financial well-being, and professional development. We offer a range of health plans, competitive retirement/pension benefits and savings plans, tuition waivers for CUNY graduate study and generous paid time off. Our staff also benefits from the extensive academic, arts, and athletic programs on our campuses and the opportunity to participate in a lively, diverse academic community in one of the greatest cities in the world. **(CURRENT CONTRACTUAL SALARY RANGE)** **CUNY is in the process of implementing salary schedule increases. Once implemented, salaries of eligible employees will be adjusted by 3.5% effective 9/1/26, in accordance with the terms of the PSC-CUNY collective bargaining agreement.** **HOW TO APPLY** Please visit www.cuny.edu access the employment page, log in and create a new user account, and search for this vacancy using the JOB ID# 32400 or Title: Institutional Research Specialist. Select "Apply Now" and provide the requested information. Applicants must submit a resume and cover letter. **CLOSING DATE** Open until filled. Review of resumes will begin on July 13, 2026. **JOB SEARCH CATEGORY** CUNY Job Posting: Managerial/Professional **EQUAL EMPLOYMENT OPPORTUNITY** CUNY encourages people with disabilities, minorities, veterans and women to apply. At CUNY, Italian Americans are also included among our protected groups. Applicants and employees will not be discriminated against on the basis of any legally protected category, including sexual orientation or gender identity. EEO/AA/Vet/Disability Employer. Job ID: 32400 Location: CUNY School of Medicine Job Type: Full-Time Institutional Research Specialist (Data Integration) - Office of Institutional Research Analysis United States USA New York NY New York CUNY

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