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Remote Mathematical Statistician Jobs in Raleigh, NC

Labcorp

Sr Curation Scientist

Durham, NC · On-site +1

Labcorp is seeking a Senior Curation Scientist to join our team in a fully remote capacity. Work ... Bachelor's degree in Applied Mathematics, Statistics, Biochemistry, Bioinformatics, Computational ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

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All JobsMathematical Statistician JobsRemote Mathematical Statistician JobsRemote Mathematical Statistician Jobs in Raleigh, NC

Remote Mathematical Statistician information

See Raleigh, NC salary details

$49.1K

$84.5K

$113.2K

How much do remote mathematical statistician jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote mathematical statistician in Raleigh, NC is $84,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $95,800.00 per year, depending on experience, location, and employer.

What does a remote mathematical statistician do?

A remote mathematical statistician analyzes and interprets data using advanced mathematical and statistical techniques while working from a location outside of a traditional office. They design experiments, develop statistical models, and help organizations make data-driven decisions. Their work often involves programming, data visualization, and collaborating with teams virtually. Remote mathematical statisticians are commonly employed in sectors like government, healthcare, finance, and technology.

What are the key skills and qualifications needed to thrive as a remote mathematical statistician?

To thrive as a Remote Mathematical Statistician, you need advanced knowledge of probability, statistical analysis, and a relevant degree such as mathematics, statistics, or a related field. Proficiency in statistical software like R, SAS, Python, and experience with data management tools are typically required. Strong analytical thinking, attention to detail, and excellent written communication skills help you interpret data and present complex findings clearly. These skills are critical to ensure accurate data analysis, effective remote collaboration, and insightful decision-making for organizations.

How do remote mathematical statisticians typically collaborate with team members and stakeholders across different locations?

Remote Mathematical Statisticians frequently use digital collaboration tools such as video conferencing, shared code repositories, and project management platforms to communicate and work with colleagues. They often participate in regular virtual meetings to discuss statistical methodologies, share updates on data analysis, and align on project goals with cross-functional teams such as data scientists, researchers, and subject matter experts. Building clear communication channels and proactively sharing progress are essential, as remote work can sometimes make it challenging to stay aligned and receive timely feedback. Effective collaboration also involves documenting methods and findings clearly to ensure transparency and reproducibility within a distributed team.

What is the difference between Remote Mathematical Statistician vs Remote Data Analyst?

AspectRemote Mathematical StatisticianRemote Data Analyst
Required credentialsMaster's or PhD in Statistics, Mathematics, or related fieldBachelor's or Master's in Statistics, Data Science, or related field
Work environmentResearch-focused, statistical modeling, and analysisData processing, visualization, and reporting
Employer usageResearch institutions, government agencies, healthcare, tech companiesBusiness, marketing, finance, tech companies
Search intentComparing roles involving advanced statistical modelingRoles focused on data interpretation and reporting

The Remote Mathematical Statistician primarily focuses on advanced statistical modeling and research, often requiring higher-level credentials like a master's or PhD. In contrast, a Remote Data Analyst typically handles data processing, visualization, and reporting, with a broader range of educational backgrounds. Both roles are common in tech, healthcare, and research industries, but they serve different functions within data teams.

What are popular job titles related to Remote Mathematical Statistician jobs in Raleigh, NC?

For Remote Mathematical Statistician jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Mathematical Statistician jobs in Raleigh, NC look for?

The top searched job categories for Remote Mathematical Statistician jobs in Raleigh, NC are:

Remote Mathematical Statistician jobs near you
Infographic showing various Remote Mathematical Statistician job openings in Raleigh, NC as of June 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $84,494 per year, or $40.6 per hour.

Senior Physics Domain Specialist - AI Rater

micro1 AI

Raleigh, NC • Remote

$80 - $160/hr

Part-time

Posted 15 days ago

Job description

Role Title: Physics Expert (Professor / Principal Investigator)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts—established Professors or Principal Investigators—to provide high-level domain guidance as part of an impactful project for a customer. 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. Adjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.
  2. Compare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes.
  3. Identify and articulate meta-level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations.
  4. Exercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field.
  5. Draft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor.
  6. Leverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.
  7. Clearly communicate when a question is unresolved within the field and delineate the pertinent considerations.


Preferred Qualifications

  1. PhD in physics with demonstrated expertise and scholarly impact in your specified subfield.
  2. Current or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership.
  3. Ongoing research activity in one or more of these areas: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  4. 3–5 recent representative publications in your target subfield, with arXiv or DOI references.
  5. Prior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings.
  6. Proficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools).
  7. Exceptional written communication skills, with the ability to articulate nuanced and well-reasoned judgments.

Apply