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

First Citizens Bank

Senior Data Engineer

Raleigh, NC · On-site +1

$103K - $140K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Computer Science, Information Systems, Data Science, or related field Preferred Area of Experience ...

First Citizens Bank

Senior Data Engineer

Raleigh, NC · On-site +1

$103K - $140K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Computer Science, Information Systems, Data Science, or related field Preferred Area of Experience ...

First Citizens Bank

Senior Data Engineer

Raleigh, NC · On-site +1

$103K - $140K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Computer Science, Information Systems, Data Science, or related field Preferred Area of Experience ...

First Citizens Bank

Senior Data Engineer

Raleigh, NC · On-site +1

$103K - $140K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Computer Science, Information Systems, Data Science, or related field Preferred Area of Experience ...

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Showing results 21-40

All JobsData Science R JobsRemote Data Science R JobsRemote Data Science R Jobs in Garner, NC

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 Sep 13, 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 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.

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 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.

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 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:

Remote Data Science R jobs near you

Manager, AI Science & Solutions,US Based Remote

Durham, NC • On-site, Remote

IQVIA, Inc.
Health Care and Social Assistance • 10K+ employees
Learn more about IQVIA, Inc.external

$894/wk

Full-time

Posted 9 days ago

IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

Job description

Manager, AI Science & Solutions | IQVIA
Are you looking to work at the forefront of Machine Learning and Artificial Intelligence? Would you be excited to apply cutting-edge Generative AI technologies to solve complex, real-world problems with meaningful impact in life sciences and healthcare?
The AI Scientist Group at IQVIA is a strategic, customer-facing team helping pharmaceutical and life sciences organizations design, build, and scale advanced AI/ML solutions. Our team of AI scientists, consultants, and engineers works closely with customers to unlock transformational business value through applied AI innovation.
About the Role
As an AI Scientist Manager, you will work hands-on to design and deliver bespoke AI solutions for pharmaceutical and life sciences customers. You will collaborate with cross-functional teams and clients to take ideas from use case discovery and proof of concept through scalable production deployment.
This role combines technical expertise, innovative problem-solving, and consultative delivery in a highly collaborative environment.
Key Responsibilities
  • Deliver proofs of concept (PoCs) that demonstrate the potential and value of Generative AI solutions.
  • Stay current with the latest advancements in Generative AI and Machine Learning and apply them to real-world business challenges.
  • Provide technical leadership and mentorship to team members.
  • Present and clearly explain AI solutions to non-technical stakeholders in customer-facing engagements.
  • Apply consulting principles to deliver tailored AI solutions aligned with customer needs.
  • Collaborate with internal teams and directly with pharmaceutical and life sciences clients to address business challenges using Generative AI.
  • Serve as the primary point of contact for client stakeholders on assigned engagements.
  • Lead multidisciplinary teams to build, deploy, and scale AI/ML solutions in production environments.
Required Qualifications & Skills
  • Extensive domain experience in Life Sciences. An advanced degree in Computer Science, Engineering, Life Sciences, or a closely related field is preferred.
  • Strong experience managing complex client projects, preferably in Life Sciences R&D.
  • Strong understanding of AI/ML concepts and modern AI architectures, including Generative AI, foundation models, and agentic AI. Experience with Python and LangChain/LangGraph is preferred.
  • Understanding and hands-on experience in the following areas is a plus:
    • Supervised Fine-Tuning (SFT)
    • Direct Preference Optimization (DPO)
    • Proximal Policy Optimization (PPO)
    • Reward Modeling
  • Experience deploying machine learning models at scale on cloud platforms (e.g., Azure, AWS) is preferred.
  • Excellent analytical and problem-solving skills, with the ability to think creatively and critically.
  • Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Ability to manage multiple projects and priorities in a fast-paced, client-focused environment.
  • A strong desire to work in a collaborative, team-oriented culture.
Why IQVIA
At IQVIA, you'll have the opportunity to apply advanced AI technologies to some of the most impactful challenges in global healthcare and life sciences, working with world-class talent, industry-leading data, and innovative platforms to drive real outcomes.
Key Improvements
  • Standardized capitalization (Generative AI, Machine Learning, Life Sciences).
  • Removed HTML tags (
    ) and replaced with proper section formatting.
  • Improved punctuation and grammar consistency.
  • Standardized terminology such as "proofs of concept," "point of contact," and "problem-solving."
  • Enhanced readability while preserving the original content and meaning.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
The potential base pay range for this role, when annualized, is $89,400.00 - $278,500.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

What IQVIA employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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