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Remote Data Analyst R Programming Jobs in South Carolina

Munich Re

Data Scientist

Charleston, SC · On-site +1

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Booz Allen Hamilton, Inc.

$69K - $158K/yr

Remote Work: No Job Number: R0243640 Location: Langley AFB,VA,US Share job via: Share Operations ... Experience with R, Python, SQL, or software programs that analyze data * Experience collaborating ...

Unum UK

Data Scientist II - CX Analytics

Columbia, SC · On-site +1

... Engineers to ensure analyses are grounded in reliable data and effectively operationalized. The ... Current remote and field-based Unum employees may apply and will be considered in accordance with ...

Brookfield Properties

Data Scientist

Charleston, SC · Remote

Programming: Strong Python and SQL skills for building models and analyzing data, with hands-on experience using common libraries (e.g., pandas, scikit-learn). * Artificial Intelligence: Baseline ...

Maymont Homes

Data Scientist

Charleston, SC · Remote

Programming: Strong Python and SQL skills for building models and analyzing data, with hands-on experience using common libraries (e.g., pandas, scikit-learn). * Artificial Intelligence: Baseline ...

AnMed

Oncology Data Specialist - Remote

Anderson, SC · On-site +1

... data for AnMed and affiliated facilities. * Demonstrates technical competence in navigating through the EMR and other software programs, onsite and in remote settings, with minimal assistance.

Mindgruve

Media Analyst I

Charleston, SC · On-site +1

... data scientists, and engineers driven by one common purpose - accelerate business growth through ... eligible for remote work. (Bonus points if you're bilingual in Spanish and/or Portuguese ...

AnMed

Oncology Data Specialist - Remote

Anderson, SC · Remote

... data for AnMed and affiliated facilities. * Demonstrates technical competence in navigating through the EMR and other software programs, onsite and in remote settings, with minimal assistance.

Munich Re

Principal Data Scientist

Charleston, SC · On-site +1

Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

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Remote Data Analyst R Programming information

What is a remote data analyst r programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.

What are the key skills and qualifications needed to thrive as a remote data analyst specializing in R programming?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a remote data analyst specializing in r programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What are the most commonly searched types of Data Analyst R Programming jobs in South Carolina?

The most popular types of Data Analyst R Programming jobs in South Carolina are:

What are popular job titles related to Remote Data Analyst R Programming jobs in South Carolina?

For Remote Data Analyst R Programming jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst R Programming jobs in South Carolina look for?

The top searched job categories for Remote Data Analyst R Programming jobs in South Carolina are:

What cities in South Carolina are hiring for Remote Data Analyst R Programming jobs?

Cities in South Carolina with the most Remote Data Analyst R Programming job openings:

Remote Data Analyst R Programming jobs near you

Digital Chemistry Specialist - Remote

micro1 AI

North Charleston, SC • Remote

$90 - $120/hr

Part-time

Posted 21 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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