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Remote Data Science R Jobs in Richmond, VA (NOW HIRING)

3E

Director, Customer Implementations

Richmond, VA · Remote

$150K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and solve complex data science challenges. Join us and make an impact! About the Role: We are ... This position supports remote work in EST, and candidates should be based near one of our U.S. East ...

Pae

Threat Management & Insider Risk Manager

Richmond, VA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is US remote telework and US Citizenship is required. Key Responsibilities ... Proficiency in understanding and applying data analytics in an insider risk/threat management ...

3E

Manager, Security and Trust Engineering

Richmond, VA · Remote

$160K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data science challenges. Join us and make an impact! About the Role: 3E is looking for a Manager ... This position supports remote work, preferably in EST or CST. What You'll Do As the AI Security ...

micro1 AI

Bioinformatics Software Engineer

Richmond, VA · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

micro1 AI

Director of Biostatistics

Richmond, VA · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing-data strategies under ICH E9(R1). * Proficiency in SAS and/or R, with the ability to ...

micro1 AI

Biostatistician

Richmond, VA · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing-data strategies under ICH E9(R1). * Proficiency in SAS and/or R, with the ability to ...

Varsity Tutors

College Statistics Tutor

Richmond, VA · Remote

$18 - $40/hr

Adapts instruction using statistical software like R or StatCrunch, real-world data sets, and ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

Organic Chemistry Tutor

Richmond, VA · Remote

$18 - $40/hr

Deep knowledge of IUPAC nomenclature, functional groups, stereochemistry (chirality, R/S ... Guides students through structure determination from spectral data, multi-step synthesis planning ...

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Showing results 41-60

All JobsData Science R JobsRemote Data Science R JobsRemote Data Science R Jobs in Richmond, VA

Remote Data Science R information

See Richmond, VA salary details

$37.1K

$121.5K

$194.5K

How much do remote data science r jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote data science r in Richmond, VA is $121,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $134,600.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Science R vs Remote Data Analyst?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What is a remote data science R?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote data science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.

What are popular job titles related to Remote Data Science R jobs in Richmond, VA?

For Remote Data Science R jobs in Richmond, VA, the most frequently searched job titles are:

What job categories do people searching Remote Data Science R jobs in Richmond, VA look for?

The top searched job categories for Remote Data Science R jobs in Richmond, VA are:

What cities near Richmond, VA are hiring for Remote Data Science R jobs?

Cities near Richmond, VA with the most Remote Data Science R job openings:

Remote Data Science R jobs near you
Infographic showing various Remote Data Science R job openings in Richmond, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,466 per year, or $58.4 per hour.

Computational Biologist - AI Reviewer

micro1 AI

Richmond, VA • On-site, Remote

$90 - $120/hr

Part-time

Posted 19 days ago

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic 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. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

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