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Data Science Research Assistant Remote Jobs in Raleigh, NC

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Data Scientist

Durham, NC · Remote

$51 - $58/hr

... weather research initiatives. This is a long-term contract opportunity offering remote work ... Bachelor's degree in Data Science, Computer Science, Statistics, Bioinformatics, Environmental ...

... research, or any other quantitative field, if you think rigorously about data and models, your ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

... NONE Remote Type Hybrid Time Type Full time Description & Requirements Elder Research Inc., a ... Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying ...

... NONE Remote Type Hybrid Time Type Full time Description & Requirements Elder Research Inc., a ... Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying ...

... for remote locations. ** Are you looking to develop your Data Scientist career? Do you enjoy ... coaching others to achieve high standards? Join us in shaping a more just world. About Us

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Define and execute the data science vision and roadmap aligned with business objectives and ...

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... assistants-capable of grounded reasoning, contextual document drafting, and interaction with ...

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Data Science Research Assistant Remote information

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$8

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$30

How much do data science research assistant remote jobs pay per hour?

As of May 30, 2026, the average hourly pay for data science research assistant remote in Raleigh, NC is $21.30, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $24.76 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Research Assistant (Remote), and why are they important?

To thrive as a Data Science Research Assistant (Remote), a solid background in statistics, programming (Python or R), and data analysis, often supported by relevant coursework or a degree, is essential. Familiarity with data visualization tools (e.g., Tableau), databases (SQL), and platforms like Jupyter Notebook, as well as experience with machine learning libraries, is typically required. Strong problem-solving abilities, attention to detail, self-motivation, and effective remote communication skills make candidates stand out. These competencies are crucial for managing complex data tasks, collaborating with team members virtually, and delivering reliable analytical insights.

What are common challenges faced by remote Data Science Research Assistants, and how can they be addressed?

Remote Data Science Research Assistants often encounter challenges such as maintaining clear communication with team members, managing time across different projects, and accessing necessary datasets or computing resources. Overcoming these hurdles typically involves leveraging collaboration tools like Slack or Zoom for regular check-ins, setting clear expectations with supervisors on deliverables, and ensuring secure, remote access to data and software. Proactively seeking feedback and participating in virtual team meetings can help foster a sense of connection and keep projects on track.

What are Data Science Research Assistants (Remote)?

A Data Science Research Assistant (Remote) is a professional who supports data scientists and research teams by collecting, cleaning, analyzing, and visualizing data, often from a remote location. Their responsibilities may include assisting with experiment design, performing statistical analyses, preparing datasets, creating reports, and helping to develop or test machine learning models. Working remotely, they utilize collaboration tools and cloud platforms to work efficiently with distributed teams. This role is ideal for individuals with strong analytical skills, programming knowledge (such as Python or R), and an interest in research and data-driven problem solving.

What is the difference between Data Science Research Assistant Remote vs Data Analyst Remote?

AspectData Science Research Assistant RemoteData Analyst Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in Data Analysis, Statistics, or related field
Work EnvironmentRemote research projects, academic or research institutionsRemote data interpretation and reporting for various industries
Employer & Industry UsageUniversities, research labs, tech companiesBusiness, finance, healthcare, marketing

While both roles involve working with data remotely, Data Science Research Assistants focus on research projects, often in academic or research settings, requiring a strong foundation in data science and statistics. Data Analysts typically analyze and interpret data for business insights across various industries. The roles share similar credentials but differ in their primary focus and work environment.

What are popular job titles related to Data Science Research Assistant Remote jobs in Raleigh, NC? For Data Science Research Assistant Remote jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Science Research Assistant Remote jobs in Raleigh, NC look for? The top searched job categories for Data Science Research Assistant Remote jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Science Research Assistant Remote jobs? Cities near Raleigh, NC with the most Data Science Research Assistant Remote job openings:
Data Scientist

Data Scientist

Contemporaries

Durham, NC • Remote

$51 - $58/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

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Job description

Contemporaries Inc. is a government contracting firm supporting the National Institutes of Health in their efforts to hire a Data Scientist to support environmental health and extreme weather research initiatives. This is a long-term contract opportunity offering remote work flexibility. We are looking for candidates with strong experience in the R programming language, geospatial/environmental data analysis, and data visualization who are excited about supporting impactful public health and scientific research efforts.

 

Position Responsibilities

  • Support the continued development and optimization of the Amadeus software package within the open-source R programming environment
  • Improve computational performance, reduce package dependencies, and enhance runtime efficiency of the Amadeus code base
  • Develop new geospatial environmental datasets proposed by the health and extreme weather (HEW) research community and leadership team
  • Work within established coding and development style guidelines for the Amadeus R-package
  • Create and revise tutorials related to:
    • data downloads,
    • covariate calculations,
    • statistical model development,
    • and data visualization
  • Utilize the Amadeus R-package to support data sourcing and environmental research workflows
  • Develop and maintain interactive R Shiny dashboards for HEW datasets and scientific reporting
  • Assist with peer-reviewed manuscript development, including data analysis, technical writing, editing, and interpretation of findings
  • Provide scientific guidance, analytical support, and interpretation of results to the research team
  • Collaborate with researchers, analysts, and leadership teams supporting environmental and public health initiatives

 

Minimum Qualifications

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Bioinformatics, Environmental Science, Public Health, or a related field
  • Minimum of 3 years of professional experience in data science, statistical programming, or computational research support
  • Strong experience using the R programming language
  • Experience working with large-scale geospatial or environmental datasets
  • Experience developing dashboards or interactive visualizations using R Shiny
  • Experience with shell scripting such as Bash
  • Familiarity with batch job scripting or high-performance computing environments such as SLURM
  • Strong analytical, technical writing, and problem-solving skills
  • Ability to work independently while supporting collaborative scientific research efforts

 

Preferred Qualifications

  • Experience supporting public health, environmental health, climate, or biomedical research projects
  • Experience contributing to open-source software or research-focused R packages
  • Experience assisting with manuscript preparation or peer-reviewed publications
  • Familiarity with geospatial analysis and statistical modeling techniques

Company Description

Contemporaries is a government contracting firm who has been providing HR and Staff support to both federal and private organizations for over 35 years. Specializing in Administrative and related opportunities, while also working with Scientific, IT, Legal, Research, and related opportunities.