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Remote Research Statistician Jobs in Arizona (NOW HIRING)

YO AI Labs

Biostatistician Expert - Remote

Phoenix, AZ · Remote

$60 - $70/hr

Remote Job Type: Contractor Pay: $60-$65/hour Job Overview We are looking for an experienced ... research projects by analyzing clinical trial data, validating statistical outputs, and ensuring ...

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Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics ...

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Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics ...

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Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics ...

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Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics ...

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Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics ...

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Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics ...

micro1 AI

Director of Biostatistics

Peoria, AZ · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

micro1 AI

Director of Biostatistics

Chandler, AZ · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

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Remote Research Statistician information

What does a remote research statistician do?

A Remote Research Statistician collects, analyzes, and interprets data to support research projects, all while working from a remote location. They design experiments, choose statistical methods, and use software tools to process large datasets. Their findings help organizations make informed decisions, improve processes, or validate hypotheses. Communication of results through reports and presentations is also a key part of their role.

What are some common challenges faced by remote research statisticians, and how can they be managed?

Remote research statisticians often encounter challenges such as coordinating with geographically dispersed research teams and ensuring clear communication of complex statistical concepts. Managing version control of datasets, maintaining data security, and staying updated with project progress can also be demanding. Utilizing collaborative tools like shared repositories, regular video meetings, and secure data platforms helps maintain effective teamwork and data integrity. Proactively setting clear expectations and scheduling regular check-ins can further enhance productivity and project alignment.

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

To thrive as a Remote Research Statistician, you need strong analytical skills, a solid foundation in statistical theory, and typically an advanced degree in statistics, mathematics, or a related field. Proficiency with statistical software such as R, SAS, SPSS, or Python, and experience handling large datasets are essential, along with familiarity with data visualization tools. Exceptional attention to detail, critical thinking, and effective written communication are important soft skills for interpreting results and collaborating remotely with research teams. These skills ensure accurate data analysis, clear reporting, and effective teamwork, which are crucial for driving data-informed research outcomes.

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

AspectRemote Research StatisticianRemote Data Analyst
Required CredentialsMaster's or PhD in Statistics, Mathematics, or related field; proficiency in statistical softwareBachelor's or higher in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentConducts research, develops models, and analyzes complex data sets, often in academic or research institutionsPrepares reports, visualizations, and insights for business decision-making, typically in corporate settings
Employer & Industry UsageUniversities, research organizations, healthcare, pharmaceuticalsFinance, marketing, technology, consulting firms

While both roles involve data analysis, Remote Research Statisticians focus on developing statistical models and conducting research, often requiring advanced degrees. Remote Data Analysts typically handle data interpretation and reporting for business insights, with a broader range of educational backgrounds. Understanding these differences helps in choosing the right career path or job search focus.

Are remote research statisticians still in demand?

Remote research statisticians are in strong demand due to the increasing reliance on data analysis across industries such as healthcare, pharmaceuticals, and market research. Skills in statistical software, programming languages like R or Python, and experience with data management enhance job prospects in this field.

Can you work remotely as a remote research statistician?

Remote research statisticians can often work from home, especially if the role involves data analysis, statistical software, and communication tools. Many employers offer remote positions to accommodate flexible schedules and geographic independence, provided candidates have the necessary skills and reliable internet access.

How much does a remote research statistician make?

A remote research statistician's salary typically ranges from $60,000 to $110,000 annually, depending on experience, education, and industry. Senior roles or those with specialized skills in statistical software and data analysis may earn higher compensation, often exceeding $120,000 per year.

What are the most commonly searched types of Research Statistician jobs in Arizona?

The most popular types of Research Statistician jobs in Arizona are:

What are popular job titles related to Remote Research Statistician jobs in Arizona?

For Remote Research Statistician jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Remote Research Statistician jobs in Arizona look for?

The top searched job categories for Remote Research Statistician jobs in Arizona are:

What cities in Arizona are hiring for Remote Research Statistician jobs?

Cities in Arizona with the most Remote Research Statistician job openings:

Remote Research Statistician jobs near you

Postdoctoral Research Associate

University of Arizona

Tucson, AZ • Remote

Full-time

Re-posted 19 days ago

University Of Arizona rating

7.4

Company rating: 7.4 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

338th of 630 rated colleges and universities

Job description

  • Design emotional intelligence training materials.
  • Write protocols, reports, and grants.
  • Oversee overall study coordination including subject recruitment, research technician training and education.
  • Administer emotional, personality, and psychophysiological assessments.
  • Conduct statistical analysis of behavioral, psychophysiological, and neuroimaging data.
  • Publish findings in peer-reviewed journals, conference proceedings, and other venues.
  • Travel and assist with aspects of project that are conducted at remote sites, as necessary, and various other duties or projects as assigned.

Knowledges, Skills, and Abilities:

  • Technological knowledge base in graphic design, computer programming and/or user interface design.
  • Skilled in developing web-based intervention platforms.
  • Background in computational methods used in neuroimaging (e.g., Matlab, UNIX, LINUX, C/C++, SPM, AFNI, Freesurfer, FSL, TrackVis,CONN).
  • Exceptional skills in experimental design, quantitative methods, and statistical analysis, and the ability to carry out independent data manipulation and sophisticated statistical analyses using standard software packages (e.g., SPSS, R, STATA, BMDP, JMP, SAS).

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