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Remote Data Science R Jobs in Garner, NC (NOW HIRING)

Degree in life sciences, public health, statistics, data science, business or related field with 5 ... Regular sitting for extended periods of time #LI-Remote #LI-NITINMAHAJAN IQVIA is a leading global ...

Degree in life sciences, public health, statistics, data science, business or related field with 5 ... Regular sitting for extended periods of time #LI-Remote #LI-NITINMAHAJAN IQVIA is a leading global ...

GCP Manager

Raleigh, NC ยท On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Manager, Data Engineer (Remote)

Raleigh, NC ยท 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 ...

Manager, Data Engineer (Remote)

Raleigh, NC ยท 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 ...

Data Security Architect (Remote)

Durham, NC ยท On-site +1

$61.50 - $79.25/hr

As a data-driven global life sciences company, IQVIA manages one of the world's most complex and sensitive healthcare data estates - spanning clinical research, real-world evidence, commercial ...

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Remote Data Science R information

See Garner, NC salary details

$33.4K

$109.4K

$175.2K

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

As of Jul 6, 2026, the average yearly pay for remote data science r in Garner, NC is $109,406.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $121,200.00 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 are Remote Data Science R jobs?

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 Scientist, 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 job categories do people searching Remote Data Science R jobs in Garner, NC look for? The top searched job categories for Remote Data Science R jobs in Garner, NC are:
What cities near Garner, NC are hiring for Remote Data Science R jobs? Cities near Garner, NC with the most Remote Data Science R job openings:
Cloud Data Architect (Full-time Remote, NC Based)

Cloud Data Architect (Full-time Remote, NC Based)

Alliance Health

Morrisville, NC โ€ข On-site, Remote

$116K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

The Cloud Data Architect is responsible for design and implementation of scalable enterprise-wide data architecture.ย  These responsibilities include optimizing data performance and accessibility, and ensuring data quality, integrity and security.

This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC)ย forย onsite team meetings as needed.

Responsibilities & Duties

Data Architecture Design and Modelling

  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms
  • Establish data access patterns (serving layers, semantic models, APIs) to optimize downstream analytics and reporting
  • Participate in business analysis activities to elicit data product requirements

Enterprise Data Platform Strategy

  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Define future-state data architecture roadmaps aligned to organizational strategy and modernization initiatives
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms

Data Engineering Enablement

  • Define reference architectures, coding standards, and reusable patterns for data engineering teamsย 
  • Review and approve solution designs to ensure adherence to enterprise data architecture standardsย 
  • Provide technical mentorship and design guidance to engineers and analysts

Data Governance & Security

  • Participate in data governance council and provide input on data standards and policies to ensure data quality, security, and compliance
  • Collaborate with security and compliance teams to implement data classification, encryption, access controls, and audit logging
  • Ensure data architectures comply with HIPAA, and organizational data privacy standards

Stakeholder Collaboration & Communication

  • Capture end-user requirements and align technical solutions to strategic business objectives
  • Translate business needs into scalable, secure, and well-governed data architecture solutions
  • Provide architectural expertise and leadership guidance to data engineering teams

Minimum Requirements

Education & Experience

Bachelorโ€™s degree in computer science or related field and at least five (5) years of experience working as a Cloud Data Architect with direct involvement and responsibilities for architecting an enterprise-scale data Lakehouse or data warehouse on a Microsoft Azure cloud platform, preferably in a healthcare setting.

The following technical certification (or comparable) is required:

โ€ข Databricks Certified Data Engineer Professional

The following technical certification (or comparable) is preferred:

โ€ข Azure Security Engineer Associate (AZ-500)

Knowledge, Skills, & Abilities

  • Architecting enterprise-scale Medallion data platforms on Microsoft Azure
  • Databricks Development and Administration
  • Data modeling: dimensional (Kimball), star/snowflake, and SCDs
  • Enterprise governance frameworks for data quality, lineage, and metadata
  • PySpark and SQL skills for scalable batch and streaming pipelines
  • Azure Data Services: ADLS Gen2, Data Factory, Synapse
  • DevOps, Git and CI/CD best practices
  • Architectural artifacts & documentation (e.g., technical specs, data models, policies, procedures, architecture diagrams)
  • Agile methodology and tools
  • HIPAA/HITECH compliance in cloud architectures
  • Technical leadership skills
  • Communication and organizational skills
  • Ability to work independently and in a team setting
  • Experience working with healthcare datasets

Employment for this position is contingent upon a satisfactory background and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.ย 

Salary Rangeย 

$116,011-$147,914/Annuallyย 

Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity.ย 

An excellent fringe benefit package accompanies the salary, which includes:ย ย 

  • Medical, Dental, Vision, Life, Long Term Disability
  • Generous retirement savings plan
  • Flexible work schedules including hybrid/remote options
  • Paid time off including vacation, sick leave, holiday, management leave
  • Dress flexibility