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Remote Data Science R Jobs in North Carolina (NOW HIRING)

Sr Staff AI Architect

Raleigh, NC · On-site +1

$143K - $185K/yr

... Fisher Scientific, Unity Lab Services, Patheon and PPD. This is a remote role open in the US only. What will you do? The AI & Data Architect will define and govern the technical blueprint for ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative ...

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 ...

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Remote Data Science R information

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 cities in North Carolina are hiring for Remote Data Science R jobs? Cities in North Carolina with the most Remote Data Science R job openings:
Sr Staff AI Architect

Sr Staff AI Architect

Thermo Fisher Scientific

Raleigh, NC • On-site, Remote

$143K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Thermo Fisher Scientific rating

7.7

Company rating: 7.7 out of 10

Based on 409 frontline employees who took The Breakroom Quiz

190th of 527 rated manufacturers


Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

About Company:

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving sophisticated analytical challenges, improving patient diagnostics and therapies or growing efficiency in their laboratories, we are here to support them. Our distributed team of more than 100,000 colleagues delivers an outstanding combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.

This is a remote role open in the US only.

What will you do?

The AI & Data Architect will define and govern the technical blueprint for enterprise AI and data ecosystems. This role ensures solutions are scalable, secure, reusable, and aligned with enterprise standards across GenAI, analytics, and intelligent automation initiatives.

This is a strategic role balancing architecture leadership with practical execution guidance

Key Responsibilities

  • Define enterprise architecture patterns for GenAI (RAG, agents, orchestration frameworks), Data platforms (lakehouse/warehouse architectures) and API/microservices-based integrations

  • Establish standards for scalability, reliability, cost optimization, and observability.

  • Lead governance for AI systems, including data privacy and compliance.

  • Create reusable frameworks and reference architectures for squads.

  • Conduct architecture reviews and risk assessments.

  • Guide cloud infrastructure design and infrastructure as code strategies.

  • Partner with leadership to shape long term AI and data strategy.

Required Qualifications:

  • 7+ years of experience in enterprise data and AI architecture.

  • Deep expertise in cloud platforms (AWS/Azure).

  • Strong understanding of modern data architectures (lakehouse, streaming, data governance).

  • Proven experience designing enterprise GenAI architectures.

  • Experience defining security, access control, and compliance frameworks.

  • Strong influencing and stakeholder management skills.

Good to have skills

  • Experience with Databricks, Dataiku or vector databases.

  • Knowledge of CRM/ERP integration architecture.

  • Background in supply chain or commercial analytics ecosystems.

  • Experience architecting enterprise RPA (UiPath) platforms.

  • Knowledge of Intelligent Process Automation (IPA) frameworks combining AI + RPA.

Education

Bachelor’s or master’s degree in computer science, Engineering, Data Science, or equivalent experience.

Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 1,20,000 colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need.

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

Compensation and Benefits

The salary range estimated for this position based in California is $143,000.00–$185,000.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

  • A choice of national medical and dental plans, and a national vision plan, including health incentive programs

  • Employee assistance and family support programs, including commuter benefits and tuition reimbursement

  • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy

  • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan

  • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards


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