2

Remote Data Jobs in Mount Pleasant, SC (NOW HIRING)

Data Engineer (Contract)

Charleston, SC · Remote

$117K - $140K/yr

Overview We are seeking a highly experienced Data Engineer to support a fast-growing eCommerce brand operating within a modern, warehouse-first data architecture. This is a project-based, on-demand ...

Data Engineer (Contract)

Charleston, SC · On-site +1

$107K - $128K/yr

Overview We are seeking a highly experienced Data Engineer to support a fast-growing eCommerce brand operating within a modern, warehouse-first data architecture. This is a project-based, on-demand ...

Remote Insurance Agent

Charleston, SC · Remote

$60K - $110K/yr

Remote Insurance Sales Agent | $60k-$110k+ First Year | No Cold Calling Earn strong first-year ... with applicable data protection laws. (US only) 1099=independent contractor, not employee.

Showing results 41-60

Remote Data information

See Mount Pleasant, SC salary details

$44K

$157.7K

$232.7K

How much do remote data jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote data in Mount Pleasant, SC is $157,726.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,600.00 and $162,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What is the difference between Remote Data vs Remote Data Analyst?

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible, making them accessible to a wide range of job seekers.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Mount Pleasant, SC? The most popular types of Data jobs in Mount Pleasant, SC are:
What job categories do people searching Remote Data jobs in Mount Pleasant, SC look for? The top searched job categories for Remote Data jobs in Mount Pleasant, SC are:
What cities near Mount Pleasant, SC are hiring for Remote Data jobs? Cities near Mount Pleasant, SC with the most Remote Data job openings:
Infographic showing various Remote Data job openings in Mount Pleasant, SC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $157,726 per year, or $75.8 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Charleston, SC • Remote

$90 - $120/hr

Part-time

Posted 15 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.