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Remote Statistics Jobs in Massachusetts (NOW HIRING)

YO AI Labs

Physics Expert - Remote

Boston, MA · Remote

$80 - $160/hr

Remote Job Overview We are seeking established Physics Professors and Principal Investigators to ... Statistical Physics * Condensed Matter Physics * AMO / Quantum Optics * Gravitation * Cosmology

FocusKPI Inc.

Data Science Intern

Boston, MA · On-site +1

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

CRH

Technical Sales Rep - Remote

Oxford, MA · On-site +1

$130K - $160K/yr

Technical Sales Rep - Remote Americas Cement Oxford, Massachusetts, United States Job ID: 528324 ... Ability to work with mathematical concepts such as probability and statistical inference, and ...

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$150K - $200K/yr

This full-time, remote position allows you to leverage your expertise in the health and fitness ... Utilize statistical software and tools for data analysis Requirements * Bachelor's degree in Data ...

Massgeneralbrigham

Research Data Analyst

Belmont, MA · On-site +1

$41K - $60K/yr

No Essential Functions -Perform statistical analyses of genomic and molecular data, including ... Additional Job Details (if applicable) Remote Type Hybrid Work Location 115 Mill Street Scheduled ...

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All JobsStatistics JobsRemote Statistics JobsRemote Statistics Jobs in Massachusetts

Remote Statistics information

See Massachusetts salary details

$44.2K

$91.4K

$127.8K

How much do remote statistics jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote statistics in Massachusetts is $91,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $126,700.00 per year, depending on experience, location, and employer.

What is a remote statistics?

A Remote Statistics job involves analyzing data, interpreting trends, and applying statistical methods to solve problems from a remote location. Professionals in this role work in various industries such as healthcare, finance, and technology. They use statistical software, programming languages like R or Python, and data visualization tools to support decision-making. Remote statisticians may work for companies, research institutions, or as independent consultants. Strong analytical skills, attention to detail, and the ability to communicate findings effectively are essential for success in this field.

What does a remote statistics do?

Remote statisticians spend much of their day collecting, cleaning, and analyzing complex data sets to support organizational objectives. They use statistical software to identify trends, test hypotheses, and produce data reports or visualizations, often collaborating virtually with teams such as data scientists, business analysts, or project managers. Regular responsibilities may also include preparing presentations, explaining statistical findings to non-technical stakeholders, and ensuring data accuracy and confidentiality. Effective remote communication and independent time management are key to meeting project deadlines and contributing valuable insights from a home or remote office setting.

What are the key skills and qualifications needed to thrive in the remote statistics position, and why are they important?

To thrive in a Remote Statistics role, you need strong statistical analysis skills, proficiency in mathematics, and typically a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, SPSS, or Python, along with experience using data visualization tools, is often essential. Excellent communication, self-motivation, and time management help remote statisticians succeed in a distributed work environment. These capabilities enable accurate analysis, effective collaboration, and the ability to work independently while delivering meaningful insights to employers.

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

The most popular types of Statistics jobs in Massachusetts are:

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

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

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

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

What cities in Massachusetts are hiring for Remote Statistics jobs?

Cities in Massachusetts with the most Remote Statistics job openings:

Remote Statistics jobs near you
Infographic showing various Remote Statistics job openings in Massachusetts as of August 2026, with employment types broken down into 11% Internship, 48% Full Time, 16% Part Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $91,363 per year, or $43.9 per hour.

Physics Expert - Remote

Boston, MA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $160/hr

Full-time

Posted 13 days ago

Job description

Job Title: Physics Expert – Professor / Principal Investigator

Role Type: Contractor
Location: Remote

Job Overview

We are seeking established Physics Professors and Principal Investigators to provide high-level scientific expertise for a project focused on advancing next-generation AI systems. In this role, you will apply deep subject-matter expertise to evaluate competing physics arguments, assess technical reasoning, and provide authoritative judgments on complex or ambiguous scientific questions.

The ideal candidate brings a strong record of independent research, scholarly impact, and scientific leadership. No prior AI experience is required—your physics expertise, research judgment, and ability to evaluate complex scientific reasoning are what matter most.

Scope of Work
  • Adjudicate contested or competing physics arguments, solutions, and interpretations within your area of expertise.
  • Compare alternative approaches to complex physics problems and explain which approach is stronger, under what assumptions, and within which applicable regimes.
  • Identify and articulate meta-level criteria for evaluating the robustness, validity, and scientific soundness of competing solutions.
  • Assess key assumptions, approximations, limitations, failure modes, and breaking points within technical arguments.
  • Provide calibrated expert judgments, distinguishing established conclusions from genuine uncertainty, unresolved questions, or active areas of research.
  • Draft rigorous, defensible written evaluations suitable for review by senior physicists and research professionals.
  • Use technical tools such as LaTeX, SymPy, Python, and Jupyter to verify calculations, test assumptions, or compare technical claims where appropriate.
  • Clearly explain when a question remains unresolved within the field and identify the relevant scientific considerations.
  • Contribute expert feedback and domain-level reasoning to support AI model training, evaluation, and improvement.
Required Skills
  • Physics Mastery
  • Expert Judgment in Ambiguous Cases
  • Meta-Level Reasoning
  • Research Leadership
  • Defensible Written Articulation
  • Scientific Analysis
  • Technical Evaluation
  • Research Communication
  • Critical Thinking
Preferred Qualifications
  • PhD in Physics with demonstrated expertise and scholarly impact in a specific physics subfield.
  • Current or former Associate Professor, Full Professor, Chair Professor, Principal Investigator, or Research Group Leader with a strong record of independent research leadership.
  • Active or recent research experience in one or more of the following areas:
    • High Energy Physics
    • Mathematical Physics
    • Biophysics
    • Statistical Physics
    • Condensed Matter Physics
    • AMO / Quantum Optics
    • Gravitation
    • Cosmology
    • Astrophysics
    • Quantum Information
    • Optical Properties of Materials
  • 3–5 recent representative publications in the target research area, with arXiv or DOI references available.
  • Experience supervising PhD students, postdoctoral researchers, or equivalent research leadership in an industry setting.
  • Proficiency with LaTeX, SymPy, Python, and Jupyter; candidates should be prepared to indicate any gaps in experience with these tools.
  • Exceptional written and verbal communication skills, with the ability to articulate nuanced scientific judgments clearly and rigorously.
  • Demonstrated ability to distinguish between established scientific knowledge, reasonable interpretations, and genuinely unresolved questions.