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Remote Biotech Data Analyst Jobs in Columbia, SC

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Current remote and field-based Unum employees may apply and will be considered in accordance with ... data assets for ad-hoc analyses and larger studies. Apply validation, aggregation, and ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Remote Biotech Data Analyst information

See Columbia, SC salary details

$31.5K

$76.5K

$125.8K

How much do remote biotech data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote biotech data analyst in Columbia, SC is $76,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $89,700.00 per year, depending on experience, location, and employer.

What is a remote biotech data analyst?

A Remote Biotech Data Analyst is a professional who works from a remote location to analyze and interpret complex biological data for biotech companies or research organizations. They use statistical and computational techniques to help make sense of data from experiments, clinical trials, or laboratory research. Their insights help guide scientific decisions, optimize processes, and support product development in the biotechnology field. This role typically requires strong skills in data analysis, biology, and proficiency with specialized software and databases.

How does a remote biotech data analyst typically collaborate with cross-functional teams while working off-site?

Remote Biotech Data Analysts regularly collaborate with cross-functional teams, including researchers, lab technicians, and software engineers, primarily through virtual meetings, shared project management tools, and cloud-based data platforms. Effective communication is crucial, as analysts must clearly present findings and discuss data-driven recommendations with both technical and non-technical team members. While working remotely, they often face the challenge of aligning schedules across different time zones, but most organizations provide robust digital infrastructures and regular check-ins to ensure seamless collaboration and project progress.

What are the key skills and qualifications needed to thrive as a remote biotech data analyst, and why are they important?

To thrive as a Remote Biotech Data Analyst, you need a strong background in biology or life sciences, advanced data analysis skills, and typically a degree in bioinformatics, statistics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as experience with bioinformatics databases and software, is essential. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative, virtual environments. These skills enable accurate data interpretation, support scientific research, and drive innovation in biotechnology projects.

What is the difference between Remote Biotech Data Analyst vs Remote Bioinformatics Technician?

AspectRemote Biotech Data AnalystRemote Bioinformatics Technician
Required CredentialsBachelor's in Biology, Data Science, or related field; proficiency in data analysis toolsBachelor's in Bioinformatics, Biology, or related; familiarity with bioinformatics software
Work EnvironmentRemote, often collaborating with research teams and data scientistsRemote or lab-based, supporting bioinformatics workflows and data processing
Industry UsagePharmaceuticals, biotech firms, research institutionsResearch labs, biotech companies, academic institutions
Common Search/ComparisonYesYes

The Remote Biotech Data Analyst and Remote Bioinformatics Technician roles share similar educational backgrounds and industry settings. However, data analysts focus more on interpreting and analyzing biological data, while bioinformatics technicians support data processing and software management. Both roles are essential in biotech research, often working remotely to advance scientific discoveries.

What are popular job titles related to Remote Biotech Data Analyst jobs in Columbia, SC?

For Remote Biotech Data Analyst jobs in Columbia, SC, the most frequently searched job titles are:

What job categories do people searching Remote Biotech Data Analyst jobs in Columbia, SC look for?

The top searched job categories for Remote Biotech Data Analyst jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Remote Biotech Data Analyst jobs?

Cities near Columbia, SC with the most Remote Biotech Data Analyst job openings:

Infographic showing various Remote Biotech Data Analyst job openings in Columbia, SC as of August 2026, with employment types broken down into 2% Internship, 67% Full Time, 15% Part Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $76,453 per year, or $36.8 per hour.

API Developer & Application Analyst - Epic - Contract - Remote

SUNSHINE ENTERPRISE USA LLC

Columbia, SC โ€ข Remote

Full-time

Re-posted 22 days ago


Job description

API Developer & Application Analyst - Epic Location: Remote Interview Process: 1 round, Virtual/Online Duration: 12 Months Employment Type: Contract Experience Required: 08+ Years Candidate location: No SC residency required. Open to nationwide candidates. Project Scope: MUSC is seeking an experienced API Developer & Application Analyst to support the Enterprise Epic Research Team.

This role focuses on building secure healthcare integrations, developing APIs, validating and analyzing healthcare data, and supporting Epic EHR research initiatives. The ideal candidate will have strong experience with Epic Bridges, Cloverleaf, HL7, FHIR, healthcare integrations, and Epic technical build activities. Key Responsibilities: Design, develop, configure, and maintain complex Epic research interfaces and integrations.

Build and support secure API integrations between Epic, REDCap, OnCore, SPARC, and third-party applications. Develop HL7 and FHIR-based interfaces to securely exchange healthcare data. Create secure data structures, perform data validation, and support large-scale healthcare data analysis.

Work closely with Epic Security teams to ensure compliance and secure clinical data exchange. Support Epic Research workflows and advanced Epic clinical build activities. Collaborate with OnCore and SPARC development teams to implement FHIR-based clinical trial integrations.

Troubleshoot, test, maintain, and optimize enterprise healthcare interfaces. Support ongoing application development, enhancement, and integration initiatives. Mentor team members and contribute to knowledge sharing across the organization.

Required Skills & Experience: Epic Bridges Certification (Mandatory) Cloverleaf Interface Engine Experience 7+ Years of Epic Technical Build Experience HL7 Interface Development FHIR API Development & Integration Healthcare Systems Integration Experience Web Services & API Development Experience Data Validation and Data Analysis Experience Preferred Skills: Epic Research Experience REDCap Integration Experience OnCore Integration Experience SPARC Integration Experience Healthcare Research Systems Experience Electronic Health Record (EHR) Integration Experience Technical Environment Epic EHR Epic Bridges Cloverleaf HL7 FHIR REST APIs REDCap OnCore SPARC Healthcare Data Integration Education: Bachelor's Degree or equivalent work experience. Certification: Epic Bridges Certification