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Remote Statistician Jobs in Silver Spring, MD (NOW HIRING)

micro1 AI

Physics Modeling Expert - Remote

Baltimore, MD · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

Otsuka

Associate Director, Biostatistics

Rockville, MD · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... statistical expertise/input in drug development including clinical development plan and regulatory ... Remote arrangements can also be considered. Otsuka maintains a hybrid work policy and travel is ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Springfield, VA · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0246180 Location: Springfield,VA,US Share job via: Share Data Scientist, Mid The Opportunity: Provide statistical and mathematical support to analyze and interpret a wide ...

ASSYST, Inc.

Software Developer

Sterling, VA · Remote

... statistical analysis, and data science. * Prepare comprehensive test plans, conduct tests, and ... Remote work is not permitted. ASSYST Benefits: We are proud to offer a robust benefits package ...

Emmes

Project Leader - Biostatistician

Rockville, MD · On-site +1

  • Medical

  • Retirement

Overview Project Leader - Biostatistician US Remote Emmes Group: Building a better future for us ... The PL-Stat develops and maintains a positive relationship with clients and other external ...

Sparibis

Azure Data Architect

Washington, DC · On-site +1

$72.25 - $92.75/hr

Location: 100% Remote. This is a United States based position, and candidates must reside in the ... Bachelor's degree in computer science, Data Science, Statistics, or related field. Clearance:

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... Perform statistical analysis, hypothesis testing, causal inference, and A/B test analysis. * Build ...

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All JobsStatistician JobsRemote Statistician JobsRemote Statistician Jobs in Silver Spring, MD

Remote Statistician information

See Silver Spring, MD salary details

$52.2K

$89.9K

$120.4K

How much do remote statistician jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote statistician in Silver Spring, MD is $89,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $101,800.00 per year, depending on experience, location, and employer.

What is a remote statistician?

Remote statisticians are professionals who analyze data, interpret statistical results, and provide insights, all while working from a location outside of a traditional office setting. They use statistical software and programming languages to collect, organize, and interpret large datasets for organizations or research projects. Working remotely allows statisticians to collaborate with teams and clients from anywhere, often using digital communication tools and cloud-based platforms. This flexibility can enhance work-life balance and broaden job opportunities across industries such as healthcare, finance, government, and technology.

What does a remote statistician do?

As a remote statistician, you telecommute to perform a number of duties for a business, such as a tech company, marketing firm, or bank, or another type of organization, such as a nonprofit, academic research organization, or government agency. Your responsibilities are to collect and analyze data and statistics and review reports from your organization to ensure statistical accuracy for all publications or studies. Some statisticians also work with other researchers to develop surveys and experiment designs and develop methods for collecting data.

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

To thrive as a Remote Statistician, you need a strong background in mathematics, statistical theory, and data analysis, typically supported by a degree in statistics or a related field. Proficiency with statistical software such as R, SAS, Python, or SPSS and familiarity with data visualization tools are commonly required. Excellent problem-solving, communication, and time management skills distinguish top performers in remote environments. These skills ensure accurate data interpretation, effective collaboration with distributed teams, and the delivery of valuable insights for data-driven decision-making.

How do remote statisticians typically collaborate with cross-functional teams while working offsite?

Remote statisticians often use digital collaboration tools such as video conferencing, shared data platforms, and project management software to stay connected with cross-functional teams. Regular virtual meetings and clear communication channels are established to discuss project goals, share insights, and address data-related challenges. Being proactive in communication and documentation helps ensure alignment with data scientists, researchers, and business stakeholders, despite working from different locations.

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

AspectRemote StatisticianRemote Data Analyst
Required CredentialsDegree in Statistics, Mathematics, or related field; often certifications in statistical softwareDegree in Data Science, Analytics, or related; proficiency in data tools
Work EnvironmentRemote, often in research or consulting firmsRemote, in various industries including marketing, finance, healthcare
Employer & Industry UsageResearch institutions, healthcare, government agenciesBusiness, marketing, finance, tech companies

While both roles involve analyzing data, Remote Statisticians focus on complex statistical modeling and research, whereas Remote Data Analysts typically handle data cleaning, visualization, and reporting for business insights. The roles overlap in skills and remote work settings, but their primary focus and industry applications differ.

Can you work remotely as a remote statistician?

Remote statisticians can work from home or other locations, often collaborating with teams via online communication tools. Many organizations offer remote positions that require skills in data analysis, statistical software, and strong communication. Flexibility depends on the employer's policies and the specific role requirements.

Is there a high demand for remote statisticians?

Remote statisticians are in high demand across various industries such as healthcare, finance, and technology due to the increasing reliance on data analysis. Employers seek professionals skilled in statistical software and data modeling, and remote work options are widely available for qualified candidates.
More about Remote Statistician jobs

What are the most commonly searched types of Statistician jobs in Silver Spring, MD?

The most popular types of Statistician jobs in Silver Spring, MD are:

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For Remote Statistician jobs in Silver Spring, MD, the most frequently searched job titles are:

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The top searched job categories for Remote Statistician jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Remote Statistician jobs?

Cities near Silver Spring, MD with the most Remote Statistician job openings:

Remote Statistician jobs near you
Infographic showing various Remote Statistician job openings in Silver Spring, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $89,857 per year, or $43.2 per hour.

Physics Modeling Expert - Remote

micro1 AI

Baltimore, MD • Remote

$80 - $140/hr

Part-time

Posted 14 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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