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

Data Engineer

Durham, NC · Remote

$150K/yr

Partner with researchers, data scientists, and technical teams to architect AI and analytics ... remote but needs to sit in one of the following states: AL, AZ, CA, CO, CT, DE, FL, GA, HI, IL, IN ...

... remote access to cloud storage platforms like AWS S3, Azure Data Lake Storage, and Google Cloud ... Bachelor's degree or higher, preferably in data science, computer science, or a related ...

Location: Remote in the United States. Reports to: Director, HEOR. Roles and responsibilities ... Deliver fair-balanced, scientifically rigorous presentations on clinical data, real-world evidence ...

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 ...

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 ...

You will be responsible for multi-disciplinary projects involving other consultants, data scientists, developers, and clinical experts to translate clients' business needs into analytical problems ...

You will be responsible for multi-disciplinary projects involving other consultants, data scientists, developers, and clinical experts to translate clients' business needs into analytical problems ...

Showing results 41-60

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:

Epidemiologist, Virology, Real World Evidence (FSP Sponsor Dedicated)

Durham, NC • Remote

IQVIA
Health Care and Social Assistance • 10K+ employees

Full-time

Re-posted 15 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

Location: Remote, candidates must be US-based

Join IQVIA's Sponsor-Dedicated FSP team and help advance healthcare through real-world evidence. We bring together scientific expertise and real-world data to help sponsors make decisions and accelerate evidence generation to improve patient outcomes. In this role, you'll work closely with one sponsor, gaining deep knowledge of their therapies while leveraging IQVIA's global expertise.

Core Function Description:

Design and conduct epidemiological studies to generate real-world evidence within time, budget, and quality standards, including but not limited to natural history of disease, population characterization, assessment of treatment patterns and unmet need, development of external comparators, benchmarking of clinical outcomes, comparative safety and effectiveness research, and post-authorization studies

Required Experience

  • Developed and executed under Scientific Oversight study protocols, analysis plans, and study reports to answer research questions of priority to RWE.

  • Designed and managed epidemiological, biomarker and/or data science projects.

  • Planned, designed, and conducted analyses for internal and external decision making (e.g., responses to regulatory authorities, rapid analyses of safety queries).

  • Supported the identification of fit-for-purpose data for the timely execution of the RWE strategy.

  • Constructed cohorts using RWD sources (e.g., claims, EHR) and evaluate key variables, including diagnosis and procedures codes, and plan validation studies as needed.

  • Conducted analyses for descriptive and comparative research using RWD (examples include claims, EHR, PRO/COA, registry data) for methodologic research questions.

  • Contributed to the communication of observational research results and methods, including development of pertinent sections of regulatory documents, reports, publications, white papers.

  • Supported the effective communication of study/analysis results to support internal and external decisions.

  • Coauthored abstracts and manuscripts for external dissemination of methodologic study results.

  • Contributed to the development of processes and training aimed at increasing the efficiency, quality, and impact of functional activities.

  • Technical Expertise:

    • Observational research methods (both Primary and Secondary Data Collection), deep knowledge of biostatistics and analysis methods, and understanding of regulatory processes.

  • Project Implementation:

    • Protocol writing, SAP, manuscript and abstract writing.

Minimum Qualifications

  • PhD in Epidemiology, Biostatistics, Psychometrics, or related field with a minimum of two (2) years of relevant post-doctoral experience, preferably in pharmaceutical industry, biotechnology, or consulting environment. Master's degree in epidemiology, biostatistics, bioinformatics, or relevant scientific field, plus five (5) years of experience in lieu of PhD may be acceptable.

  • Understanding of observational research methods and experience to support the design and conduct of observational research, including protocol, statistical analysis plan, and study report development.

  • Knowledge of secondary data sources and experience with secondary data analysis, including electronic medical record and/or medical claims databases.

  • A record of scientific publications demonstrating expertise in observational study design, analysis, and interpretation is preferred.

  • Demonstrated ability to function with an increasing level of autonomy and to develop productive cross- functional collaborations in a matrix environment.

  • Ability to manage priorities and performance targets.

What's in it for you?

  • Be part of a forward-thinking team that helps shape the next generation of evidence-based healthcare.

  • Work hand-in-hand with one leading sponsor, gaining deep expertise in their therapies.

  • Access IQVIA's global network who supports your growth.

This is your chance to make an impact, while building a career that matters.

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 athttps://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 $109,200.00 - $273,000.00. 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

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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