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Computational Mathematics Jobs (NOW HIRING)

In this role, you will leverage your expertise in physics, mathematics, and computational methods to develop models and simulations that explore complex physical systems and phenomena. Your work will ...

URUS is seeking a Computational Biologist to join our Innovation group as part of the team focused ... Mathematics & Statistics: Expertise in probability, statistical modeling, and algorithm design.

URUS is seeking a Computational Biologist to join our Innovation group as part of the team focused ... Mathematics & Statistics: Expertise in probability, statistical modeling, and algorithm design.

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Computational Mathematics information

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How much do computational mathematics jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for computational mathematics in the United States is $25.08, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $28.61 per hour, depending on experience, location, and employer.

What Is Computational Mathematics?

The field of computational mathematics combines applied mathematics and computer science. Your responsibilities include using computers to create models to analyze data sets, make predictions, and develop solutions for mathematical problems. For example, as part of your duties you might use computational mathematics to create mathematical models of website traffic or social media activity in order to develop a strategy to increase traffic or gain more followers. Computational mathematics is a valuable skill in many fields, such as software development, computer programming, research, engineering, teaching, and finance. A background in computational mathematics grants you math, statistics, and computer science skills, giving you the ability to gather, analyze, and apply information for real-world applications.

What are the key skills and qualifications needed to thrive as a Computational Mathematician, and why are they important?

To thrive as a Computational Mathematician, you need a strong background in mathematics, numerical analysis, and computer science, often supported by an advanced degree in mathematics or a related field. Proficiency with programming languages like Python, MATLAB, or C++, and familiarity with specialized mathematical software and high-performance computing systems are typically required. Analytical thinking, problem-solving, and effective collaboration are essential soft skills for addressing complex computational challenges. These skills and qualities are crucial for developing accurate models, solving real-world problems, and advancing research or industrial applications.

What is the difference between Computational Mathematics vs Data Scientist?

AspectComputational MathematicsData Scientist
Required CredentialsMathematics, Computer Science degrees, often with advanced courseworkStatistics, Computer Science, or related degrees, often with data analysis certifications
Work EnvironmentResearch labs, academia, tech companies focusing on algorithm developmentBusiness, tech firms, healthcare, analyzing large datasets
Employer & Industry UsageResearch institutions, universities, R&D departmentsTech companies, finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding technical roles involving algorithms and modelingAnalyzing data to inform business decisions

Computational Mathematics focuses on developing algorithms, mathematical models, and simulations, often in research or academic settings. Data Scientists analyze large datasets to extract insights and support decision-making in various industries. While both roles require strong analytical skills, Computational Mathematics emphasizes theoretical and algorithmic development, whereas Data Science centers on practical data analysis and visualization.

How do computational mathematicians typically collaborate with other professionals on interdisciplinary projects?

Computational mathematicians often work closely with professionals from fields such as engineering, computer science, physics, and data science to tackle complex, real-world problems. Collaboration usually involves translating mathematical models into algorithms, developing simulations, and analyzing large datasets. Effective communication is key, as computational mathematicians must explain technical concepts to team members with varying expertise. These interdisciplinary projects provide opportunities to broaden your skill set and contribute to innovative solutions across industries, from finance to healthcare.

What is computational mathematics?

Computational mathematics is a field of study that uses mathematical models, numerical analysis, and algorithms to solve scientific, engineering, and mathematical problems using computers. It involves the development and implementation of computational methods to analyze and solve complex real-world problems that are difficult or impossible to handle analytically. Professionals in this field often work on simulations, optimization, data analysis, and the creation of mathematical software for various industries.
What cities are hiring for Computational Mathematics jobs? Cities with the most Computational Mathematics job openings:
What are the most commonly searched types of Computational Mathematics jobs? The most popular types of Computational Mathematics jobs are:
What states have the most Computational Mathematics jobs? States with the most job openings for Computational Mathematics jobs include:
Infographic showing various Computational Mathematics job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 94% In-person, 3% Hybrid, and 3% Remote job distribution, with an average salary of $52,166 per year, or $25.1 per hour.

Flatiron Research Fellow, Biophysical Modeling & Genomics, Center for Computational Biology

Flatiron Institute

NY โ€ข On-site

Full-time

Posted 25 days ago


Job description

Description
The Center for Computational Biology (CCB) of the Simons Foundation's Flatiron Institute is actively seeking enthusiastic, full-time post-doctoral Flatiron Research Fellows to join its Biophysical Modeling and Genomics groups in 2026.
The goal at CCB is to advance the understanding of fundamental and historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets. Living systems are built hierarchically; as such, CCB's research activities span several scales of biological organization, bridging the gap between microscopic detail and large-scale behaviors, and providing natural continuity between our groups' efforts. CCB currently comprises more than 45 research and data scientists at career stages from recent Ph.D. graduates through senior scientists, as well as visiting scientists, guest researchers, graduate students, interns, and administrative support staff. For a full description of CCB research areas and scientific staff, please see our website.
This joint position bridges two complementary efforts within CCB. The Biophysical Modeling group focuses on the modeling and simulation of complex systems that arise in biology and soft condensed matter physics. Areas of interest include the dynamics of complex and active materials, and aspects of collective behavior and self-organization in both natural systems (e.g., inside the cell) and synthetic ones. The Genomics group develops AL/ML methods to interpret genomes and distill the immensely complex networks that form the foundation of human biology and disease. Current areas of interest include developing foundation models for genome interpretation; creating methods for multi-omic and spatial data analysis and integration with phenotypic and clinical data; and advancing AI-based frameworks for network modeling and regulatory module detection.
Together, these groups aim to develop integrative, hybrid models that combine deep learning for genome interpretation with mechanistic biophysical representations of its structure, dynamics, and regulation. Their joint work seeks to build theoretical and computational frameworks that link genome-scale regulatory models with quantitative, physics-based understanding of molecular and cellular organization. A key focus is on predictive modeling of how genetic variation alters the biophysical properties of neurons and the downstream phenotypic manifestations relevant to ASD and related conditions.
The uniqueness of this position lies in its explicitly interdisciplinary nature-offering the opportunity to work at the intersection of AI/ML genomic modeling and mechanistic biophysical modeling-and in its close integration with directed experimental investigations within the CCBx experimental network.
Strong applicants with backgrounds in applied and computational mathematics, biophysics, AI/machine learning, computational biology, computer science/engineering, statistical inference, or related fields are particularly encouraged to apply.
POSITION DESCRIPTION
Flatiron Research Fellows in CCB are individuals at the postdoctoral level with backgrounds in one or more of the following areas: applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines.
Fellows are expected to carry out an active research program that can be independently directed and/or involve substantial collaboration with other members of CCB or the Flatiron Institute. In addition to their research, Fellows help build the rich scientific community at CCB and the Flatiron Institute by participating in seminars, colloquia, and group meetings; developing their software, mathematical and computational expertise through internal education opportunities; and sharing their knowledge through scientific publications, presentations, and/or software releases, with the financial support of the Institute. Fellows have access to the Flatiron Institute's powerful scientific computing resources.
Responsibilities include but are not limited to:
  • Performing theoretical and computational research
  • Developing, implementing and maintaining scientific software
  • Participating in the organization of CCB and Flatiron-wide collaborative activities including seminars, workshops and meetings
  • Participating in the preparation of manuscripts for publication and of presentations at scientific conferences
  • Assisting in student mentorship
  • Sharing expertise and providing training and guidance to CCB staff and visitors as needed.

FRF positions are generally two-year appointments that can be renewed for a third year, contingent on performance. Fellows will be based, and have a principal office or workspace, at the Simons Foundation's offices in New York City. Fellows may also be eligible for subsidized housing within walking distance of the Flatiron Institute.
For more information about careers at the Flatiron Institute, please click here.
Qualifications
Education
  • Ph.D. in a relevant field (applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines)

Related Skills & Other Requirements
  • Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis
  • Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and algorithm development, modeling machine learning, and scientific simulation
  • Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists
  • Strong oral and written communication, data documentation, and presentation skills

COMPENSATION AND BENEFITS
  • The full-time annual compensation for this position is $91,000.
  • In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.

Application Instructions
To apply, please submit the following via the application portal:
  1. Cover Letter, which should include a summary of applicants' most significant contributions in graduate school
  2. Curriculum vitae with publications list and, if relevant, links to software
  3. Research statement of no more than three (3) pages describing the applicant's past important results, current and future research interests which may include both scientific topics and algorithm and software development, and potential synergies with activities at CCB
  4. Two (2) letters of recommendation

Applications for available positions that begin in 2025 will generally be reviewed beginning November 2025, and will be considered on a rolling basis until the positions are filled.
SELECTION CRITERIA
Applications will be evaluated based on:
  • Past research accomplishments
  • The proposed research program
  • The synergy of applicant's expertise and research proposal topic with existing CCA staff and research programs, and potential to cross boundaries between CCB groups and/or the Flatiron Institute's other research centers.

Any queries about the application process or about CCB should be directed to ccbjobs@flatironinstitute.org. Queries about CCB may also be directed to scientific staff at CCB.