ZipRecruiter

Log In

2

Full Time Math Research Jobs (NOW HIRING)

Mancan

Research Technician

Immokalee, FL · On-site

$17/hr

Computer knowledge Word/Excel/Access, F/T. EOE Immokalee. Hourly position start rate $17.00/hour ... Must have reliable transportation Must excellent math skills Must be able to walk, stand, bend ...

New York University

RESEARCH SCHOLAR

New York, NY · On-site

$48K/yr

Description Research Scholar (Full-time) Biomedical Engineering New York University Faculty in the ... S. degree in electrical, biomedical, mechanical, computer, or aerospace engineering or mathematics ...

previous page

Showing results 41-60

All Jobsfull time JobsScience JobsFull Time Math Research Jobs

Full Time Math Research information

See salary details

$22.5K

$58.8K

$94.5K

How much do full time math research jobs pay per year?

As of Aug 20, 2026, the average yearly pay for full time math research in the United States is $58,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What is a full time math researcher?

A Full Time Math Researcher is a professional who dedicates their career to investigating mathematical theories, solving complex problems, and advancing knowledge in mathematics. They typically work at universities, research institutes, or private organizations, often collaborating with other scientists and mathematicians. Their work can involve developing new mathematical models, publishing research papers, and presenting findings at conferences. Full Time Math Researchers contribute to a wide range of fields, including pure mathematics, applied mathematics, data science, and engineering.

What are the key skills and qualifications needed to thrive as a full time math researcher?

To thrive as a Full Time Math Researcher, you typically need advanced mathematical knowledge, strong analytical skills, and a graduate degree (often a Ph.D.) in mathematics or a related field. Familiarity with mathematical software (such as MATLAB, Mathematica, or Maple), programming languages (like Python or R), and experience with academic research tools are commonly required. Exceptional problem-solving abilities, critical thinking, and effective written and verbal communication set outstanding researchers apart. These skills and qualifications are vital for producing original research, publishing findings, and collaborating effectively within the mathematical community.

What are some common challenges faced by professionals in full time math research roles, and how can they be addressed?

One common challenge in full-time math research is tackling complex problems that may not have immediate or clear solutions, which can lead to periods of slow progress. To address this, researchers often collaborate with colleagues, attend seminars, and stay current with recent literature to gain new perspectives and insights. Additionally, balancing independent work with team-based projects is typical, as sharing ideas and feedback is crucial for advancing research. Persistence, adaptability, and strong communication skills are essential for overcoming these hurdles and contributing effectively to the research community.

What is the difference between Full Time Math Research vs Data Analyst?

AspectFull Time Math ResearchData Analyst
Required CredentialsAdvanced degree in Mathematics or related fieldBachelor's or Master's in Statistics, Mathematics, or related field
Work EnvironmentResearch institutions, universities, or corporate R&DBusiness, finance, healthcare, or tech companies
Employer & Industry UsageAcademic, government, or corporate researchData-driven industries focusing on business insights
Common Search & ComparisonYesYes

Full Time Math Research typically involves advanced mathematical analysis in academic or research settings, often requiring higher degrees. Data Analysts focus on interpreting data to inform business decisions, usually with a bachelor's or master's degree. While both roles analyze data, Full Time Math Research emphasizes theoretical and complex problem-solving, whereas Data Analysts focus on practical data interpretation for organizational insights.

What cities are hiring for Full Time Math Research jobs?

Cities with the most Full Time Math Research job openings:

What are the most commonly searched types of Math Research jobs?

The most popular types of Math Research jobs are:

What states have the most Full Time Math Research jobs?

States with the most job openings for Full Time Math Research jobs include:

Full Time Math Research jobs near you
Infographic showing various Full Time Math Research job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $58,837 per year, or $28.3 per hour.

Campus AI Research Engineer - Research Automation (Full-Time)

Jump Trading

New York, NY

$300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including AI/ML expertise, engineering pragmatism, statistics, and market intuition.  

What You'll Do: 

  • Apply state-of-the-art techniques to complex and challenging domains. 
  • Work closely with researchers and quants to build flexible and reusable frameworks for financial ML. 
  • Optimize training pipelines to make the best use of our HPC resources. 
  • Integrate ML models into production systems where latency matters. 
  • Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages. 
  • Build large-scale ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle time on research. 
  • Other duties as assigned or needed. 

Skills You'll Need: 

  • Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research 
  • Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs) 
  • Solid development skills in Python and/or C++ 
  • Familiarity with ML libraries/frameworks such as PyTorch, JAX, and/or TensorFlow 
  • Intellectual curiosity, versatility, and originality combined with a pragmatic outlook 
  • Ability to thrive in a collaborative, team-oriented environment 
  • Ability to reason through quantitative problems and communicate effectively with trading researchers 
  • Reliable and predictable availability 

Bonus Points: 

  • Experience with HPC and distributed large model training 
  • Experience with GPU performance optimization (CUDA or ROCm) 
  • Experience with end-to-end model development 
  • Strong opinions on best practices in ML research, tooling, and/or infrastructure 

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions. 

The estimated base salary for this role is $300,000 per year.

Benefits

   - Discretionary bonus eligibility
   - Medical, dental, and vision insurance
   - HSA, FSA, and Dependent Care options
   - Employer Paid Group Term Life and AD&D Insurance
   - Voluntary Life & AD&D insurance
   - Paid vacation plus paid holidays
   - Retirement plan with employer match
   - Paid parental leave
   - Wellness Programs

Apply