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Remote Numerical Analysis Jobs in Massachusetts (NOW HIRING)

micro1 AI

Physics Modeling Expert - Remote

Springfield, MA · Remote

$80 - $140/hr

... analyses. * Produce technically precise, clearly written solutions, detailing all assumptions ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

micro1 AI

Physics Modeling Expert - Remote

Brockton, MA · Remote

$80 - $140/hr

... analyses. * Produce technically precise, clearly written solutions, detailing all assumptions ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

micro1 AI

Physics Modeling Expert - Remote

Cambridge, MA · Remote

$80 - $140/hr

... analyses. * Produce technically precise, clearly written solutions, detailing all assumptions ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

Progress

Financial Analyst II

Burlington, MA · On-site +1

$80K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Most of the Corporate FP&A team and executive leadership are located near our Burlington, MA ... Preference will be given to local candidates, but we will consider remote candidates based in the ...

Globalization Partners

Management Intern (Remote)

Boston, MA · On-site +1

$1.0K - $1.4K/wk

  • Medical

  • Dental

  • Vision

... analyses and ensuring implementation of objectives in a effective, timely manner. To be successful ... Strong numeracy and organizational skills * Critical thinking and problem-solving skills * Ability ...

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All JobsNumerical Analysis JobsRemote Numerical Analysis JobsRemote Numerical Analysis Jobs in Massachusetts

Remote Numerical Analysis information

What are some common challenges faced by professionals in remote numerical analysis roles, and how can they be addressed?

Professionals working in remote numerical analysis often encounter challenges such as maintaining effective communication with team members, managing large datasets securely, and ensuring computational accuracy without direct on-site support. To address these, it's important to establish regular virtual check-ins, utilize secure cloud-based collaborative platforms, and keep thorough documentation of methodologies and results. Additionally, leveraging version control systems and participating in online forums can help troubleshoot issues and stay connected with peers in the field.

What is the difference between Remote Numerical Analysis vs Remote Data Analysis?

AspectRemote Numerical AnalysisRemote Data Analysis
Required CredentialsDegree in Mathematics, Statistics, or related field; often certifications in numerical methodsDegree in Statistics, Data Science, or related; certifications in data tools or analytics
Work EnvironmentPrimarily focused on mathematical modeling, simulations, and algorithm developmentPrimarily focused on data collection, cleaning, visualization, and interpretation
Industry UsageFinance, engineering, scientific research, technologyMarketing, healthcare, e-commerce, finance
Common Search & ComparisonOften compared for technical depth and mathematical focusCompared for data-driven decision making and insights

Remote Numerical Analysis involves advanced mathematical modeling and algorithm development, often in scientific or engineering contexts. Remote Data Analysis focuses on interpreting data to inform business decisions. While both roles require analytical skills, they differ in their core focus and typical industry applications.

What is remote numerical analysis?

Remote numerical analysis involves using computational and mathematical methods to solve quantitative problems, typically from a remote location. Professionals in this field analyze data, build mathematical models, and run simulations using specialized software. Working remotely allows numerical analysts to collaborate with teams or clients online, leveraging cloud computing resources and communication tools. This job is essential in fields like engineering, finance, and scientific research, where complex numerical problems need to be addressed efficiently from anywhere.

What jobs require numerical reasoning?

Numerical reasoning is essential for roles such as data analysts, financial analysts, actuaries, engineers, and scientists, where interpreting data, solving quantitative problems, and making data-driven decisions are core tasks. These jobs often require strong math skills, proficiency with tools like Excel or statistical software, and the ability to analyze complex numerical information efficiently.

What are the key skills and qualifications needed to thrive as a remote numerical analyst, and why are they important?

To thrive as a Remote Numerical Analyst, you need strong mathematical proficiency, analytical skills, and a degree in mathematics, statistics, or a related field. Familiarity with programming languages such as Python, MATLAB, or R, as well as experience with data analysis tools and numerical modeling software, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills are essential soft skills for success in this role. These skills ensure accurate data interpretation, effective collaboration across remote teams, and the delivery of actionable quantitative insights.

What are popular job titles related to Remote Numerical Analysis jobs in Massachusetts?

For Remote Numerical Analysis jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Remote Numerical Analysis jobs in Massachusetts look for?

The top searched job categories for Remote Numerical Analysis jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Numerical Analysis jobs?

Cities in Massachusetts with the most Remote Numerical Analysis job openings:

Remote Numerical Analysis jobs near you
Infographic showing various Remote Numerical Analysis job openings in Massachusetts as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 100% Remote job distribution.

Computational Physics Specialist - Remote

micro1 AI

New Bedford, MA • Remote

$80 - $140/hr

Part-time

Posted 13 days ago

Job description

Role Title: Physics Expert (PhD / Postdoc)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Solve advanced physics problems from your specialization, delivering rigorous, well-documented derivations and analyses.
  2. Produce technically precise, clearly written solutions, detailing all assumptions, approximations, and final results using LaTeX mathematical notation.
  3. Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational workflows where relevant.
  4. Identify and articulate subtleties in problem statements, including special cases, boundary conditions, and dimensional consistency.
  5. Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications as needed.
  6. Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections are cleanly integrated.
  7. Uphold rigorous standards in documentation and reproducibility consistent with professional research practice.


Preferred Qualifications

  1. PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield.
  2. Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter (including moiré systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  3. 2–5 recent representative publications (past ~5 years) in your field, with accessible arXiv or DOI records.
  4. Proficiency with LaTeX for presenting mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate areas for further support if needed.
  5. Demonstrated excellence in written technical communication, with a track record of producing clear, precise, and well-argued scientific outputs.
  6. Strong analytical skills, able to isolate key physical principles and provide nuanced solutions to complex problems.
  7. Availability to engage with the project consistently over an 8–10 week period (approx. 10 hours/week).

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