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Computational Mathematics Jobs in Massachusetts (NOW HIRING)

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Applied Mathematics Tutor

Lawrence, MA · Remote

$18 - $40/hr

What We Look For In a Applied Mathematics Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using computational tools like MATLAB and Python, real-world case studies, and ...

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Applied Mathematics Tutor

Newton, MA · Remote

$18 - $40/hr

What We Look For In a Applied Mathematics Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using computational tools like MATLAB and Python, real-world case studies, and ...

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Applied Mathematics Tutor

Northampton, MA · Remote

$18 - $40/hr

What We Look For In a Applied Mathematics Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using computational tools like MATLAB and Python, real-world case studies, and ...

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Applied Mathematics Tutor

Somerville, MA · Remote

$18 - $40/hr

What We Look For In a Applied Mathematics Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using computational tools like MATLAB and Python, real-world case studies, and ...

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Applied Mathematics Tutor

Lowell, MA · Remote

$18 - $40/hr

What We Look For In a Applied Mathematics Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using computational tools like MATLAB and Python, real-world case studies, and ...

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Applied Mathematics Tutor

Boston, MA · Remote

$18 - $40/hr

What We Look For In a Applied Mathematics Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using computational tools like MATLAB and Python, real-world case studies, and ...

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Applied Mathematics Tutor

Quincy, MA · Remote

$18 - $40/hr

What We Look For In a Applied Mathematics Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using computational tools like MATLAB and Python, real-world case studies, and ...

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Applied Mathematics Tutor

Cambridge, MA · Remote

$18 - $40/hr

What We Look For In a Applied Mathematics Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using computational tools like MATLAB and Python, real-world case studies, and ...

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Applied Mathematics Tutor

Waltham, MA · Remote

$18 - $40/hr

What We Look For In a Applied Mathematics Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using computational tools like MATLAB and Python, real-world case studies, and ...

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Applied Mathematics Tutor

Lynn, MA · Remote

$18 - $40/hr

What We Look For In a Applied Mathematics Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using computational tools like MATLAB and Python, real-world case studies, and ...

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Computational Mathematics information

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$12

$27

$48

How much do computational mathematics jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for computational mathematics in Massachusetts is $27.39, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $31.25 per hour, depending on experience, location, and employer.

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 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.

What do computational mathematicians do?

Computational mathematicians develop and apply mathematical models, algorithms, and numerical methods to solve complex scientific, engineering, and data analysis problems. They often work with computer simulations, programming languages, and software tools to analyze large datasets and optimize processes across various industries.
More about Computational Mathematics jobs

What are the most commonly searched types of Computational Mathematics jobs in Massachusetts?

The most popular types of Computational Mathematics jobs in Massachusetts are:

What are popular job titles related to Computational Mathematics jobs in Massachusetts?

For Computational Mathematics jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Computational Mathematics jobs in Massachusetts look for?

The top searched job categories for Computational Mathematics jobs in Massachusetts are:

Computational Mathematics jobs near you
Infographic showing various Computational Mathematics job openings in Massachusetts as of August 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $56,972 per year, or $27.4 per hour.

Computational Biologist

University of Massachusetts Medical School

Worcester, MA • On-site

$80 - $100/hr

Other

Re-posted 26 days ago

Job description

Overview

The Computational Biologist will be part of an interdisciplinary research group combining systems biology, immunology, and human genetics to uncover the mechanisms that drive autoimmune disease. The lab leads large‑scale efforts such as the VIGOR family‑based vitiligo cohort (bigor.umassmed.edu) and multi‑omic studies of lupus and cutaneous autoimmunity, integrating data across molecular, cellular, and clinical scales.

This position will bridge two complementary areas of research:

  • Molecular systems immunology, involving the analysis of single‑cell and spatial transcriptomic, epigenomic, and proteomic datasets to dissect cell states and communication networks in diseased and healthy tissues.
  • Genetic and longitudinal modeling, integrating genomic variation with real‑world longitudinal data—including proteomics, wearable device metrics, survey responses, and clinical measures—to build predictive and causal models of disease initiation and progression.

The ideal candidate combines strong computational and statistical skills with a biological curiosity about how genetic and environmental factors jointly shape immune dysregulation.

Responsibilities
  • Process, analyze, and interpret large‑scale datasets including bulk and single‑cell RNA‑seq, ATAC‑seq, proteomics, and spatial transcriptomics.
  • Develop new analysis methods as needed and as they arise during investigations
  • Perform clustering, trajectory inference, and regulatory network reconstruction to define immune cell states and pathways relevant to autoimmune pathogenesis.
  • Work closely with clinicians, immunologists, and experimentalists to formulate biologically grounded hypotheses and computational analyses.
  • Integrate genetic, molecular, and clinical features to identify mediators linking genotype to phenotype using mediation and causal inference frameworks (e.g., Bayesian networks).
  • Combine data from wearable sensors (e.g., Fitbit activity, sleep, heart rate), clinical surveys, and biomarker measurements to model temporal dynamics of disease activity.
  • Present findings in lab meetings, consortium calls, and scientific conferences; contribute to manuscripts and grant proposals.
  • Generate publication‑quality figures and interactive visualizations that communicate complex data intuitively.
Qualifications

Required Qualifications

  • Master’s degree in Computational Biology, Bioinformatics, Genetics, Statistics, Physics, Math or a related quantitative field; Ph.D. strongly preferred.
  • 1‑3 years of related experience
  • Strong proficiency in R or Python, statistical modeling, and data visualization.
  • Strong understanding of linear models, mixed‑effect models, and in general machine learning approaches to complex datasets.
  • Experience working in Unix/Linux environments and using HPC or cloud‑based computational resources.

Preferred Qualifications

  • Background in human genetics or clinical genomics, including genotype imputation, association testing, and fine‑mapping.
  • Experience with integrative or multi‑omic data analysis and familiarity with single‑cell and spatial transcriptomic data.
  • Knowledge of causal inference, longitudinal modeling, or Bayesian hierarchical modeling.
  • Exposure to wearable‑device or digital‑phenotyping datasets and experience linking such data to molecular or clinical outcomes.
  • Understanding of immunology or autoimmune disease biology.
  • Familiarity with containerization (Docker/Singularity), workflow management systems (Snakemake, Nextflow), and reproducible‑research practices.
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