ZipRecruiter

Log In

2

Remote Statistical Programmer Jobs in Lexington, SC

GAI Consultants

Civil Engineer 3

Columbia, SC · On-site +1

This position can be fully remote. GAI's Power Business Unit focuses on developing and supporting ... Selects appropriate principles of engineering economics, and probability and statistics to analyze ...

All JobsStatistical Programmer JobsRemote Statistical Programmer JobsRemote Statistical Programmer Jobs in Lexington, SC

Remote Statistical Programmer information

See Lexington, SC salary details

$72.3K

$126.1K

$213.1K

How much do remote statistical programmer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote statistical programmer in Lexington, SC is $126,075.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $137,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Statistical Programmer, and why are they important?

To thrive as a Remote Statistical Programmer, you need strong proficiency in statistics, data analysis, and programming languages like SAS or R, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software, clinical trial data standards (such as CDISC), and regulatory submission requirements is often necessary. Attention to detail, problem-solving ability, and effective remote communication are essential soft skills for collaborating with cross-functional teams. These competencies ensure high-quality data analysis, regulatory compliance, and seamless teamwork in a remote environment.

How do Remote Statistical Programmers typically collaborate with cross-functional teams despite working remotely?

Remote Statistical Programmers often work closely with biostatisticians, data managers, and clinical research associates using collaborative tools such as video conferencing, project management platforms, and secure data-sharing systems. Regular virtual meetings are scheduled to discuss project progress, address data or programming issues, and align on analysis plans. Clear documentation and version control are essential to ensure seamless teamwork and maintain data integrity. Effective communication skills and proactive updates help bridge the physical distance and contribute to successful project outcomes.

What is the difference between Remote Statistical Programmer vs Clinical Data Analyst?

AspectRemote Statistical ProgrammerClinical Data Analyst
Required CredentialsBachelor's/Master's in Biostatistics, Statistics, or related field; programming skills in SAS, R, or PythonBachelor's/Master's in Statistics, Data Science, or related; strong analytical and statistical skills
Work EnvironmentRemote or office-based, collaborating with biostatistics teams in clinical trialsRemote or on-site, analyzing clinical data to support study outcomes
Employer & Industry UsagePharmaceuticals, biotech, CROs, clinical research organizationsPharmaceuticals, healthcare, research institutions, CROs

Remote Statistical Programmers focus on programming and data management for clinical trials, while Clinical Data Analysts interpret and analyze clinical data. Both roles require strong statistical skills and often work in similar environments within the healthcare and pharmaceutical industries, but their core responsibilities differ.

What Does a Remote Statistical Programmer Do?

As a remote statistical programmer, you use programming techniques to produce useful data sets from raw data. In this role, you may evaluate the programming needs of each project, use validation techniques to ensure the accuracy of all data sets your programs make, and manage both a database and the operating environment of your software. Remote statistical programmers often work from home and collaborate with other programmers through video calls, voice chat, or remote office software. This job is also known as SAS, which stands for statistical analysis system programming, and companies may advertise under either title.

What is a remote statistical programmer?

A remote statistical programmer is a professional who uses statistical software and programming languages to analyze data, typically for research, clinical trials, or business insights, while working from a location outside of a traditional office environment. They are responsible for managing, cleaning, and organizing large datasets, and for developing programs that generate statistical analyses and reports. Remote statistical programmers often collaborate with statisticians, data scientists, and project teams using online communication tools. This role requires strong skills in programming languages such as SAS, R, or Python, and attention to detail when handling complex data. Working remotely provides flexibility but also requires good time management and communication skills.
More about Remote Statistical Programmer jobs
What are popular job titles related to Remote Statistical Programmer jobs in Lexington, SC? For Remote Statistical Programmer jobs in Lexington, SC, the most frequently searched job titles are:
What job categories do people searching Remote Statistical Programmer jobs in Lexington, SC look for? The top searched job categories for Remote Statistical Programmer jobs in Lexington, SC are:
What cities near Lexington, SC are hiring for Remote Statistical Programmer jobs? Cities near Lexington, SC with the most Remote Statistical Programmer job openings:
Remote Statistical Programmer jobs near you
Infographic showing various Remote Statistical Programmer job openings in Lexington, SC as of July 2026, with employment types broken down into 3% Locum Tenens, 79% Full Time, 10% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $126,075 per year, or $60.6 per hour.

Database Developer (SQL) - Contract - Remote

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • Remote

Contractor

Re-posted 6 days ago

Job description

Database Developer (SQL) Location: Remote Interview Process: 1 Round of Virtual Interviews Duration: 12 Months Employment Type: Contract Experience Required: 07+ Years Candidate location: No SC residency required. Open to Nationwide Candidates that are comfortable working EST Hours. Project Scope: Seeking an experienced Database Developer (SQL) to support critical public health data initiatives, including data warehouse modernization, data pipeline enhancements, disease surveillance system integrations, and electronic case reporting (eCR) solutions.

The consultant will play a key role in designing, developing, optimizing, and supporting complex database solutions, ETL processes, reporting systems, and data migration initiatives. The ideal candidate will have strong expertise in SQL Server, T-SQL development, ETL processes, SSIS, data warehousing, healthcare data integrations, and large-scale data management. This role requires close collaboration with database administrators, data integration teams, business stakeholders, and technical teams to deliver secure, scalable, and reliable data solutions.

Key Responsibilities: Design, develop, and maintain complex database solutions and data integration processes. Develop and optimize SQL stored procedures, advanced queries, and database performance. Design, build, and support ETL processes and data pipelines.

Develop, troubleshoot, and maintain SQL Server Integration Services (SSIS) packages. Support data warehouse initiatives, reporting solutions, and business intelligence requirements. Convert and modernize legacy data processes, including migration of SAS-based solutions.

Create and maintain process documentation, data flow diagrams, and technical specifications. Gather business requirements and perform gap analysis with stakeholders. Support disease surveillance systems, electronic case reporting (eCR), and healthcare data integrations.

Parse and process multiple data formats including XML, CSV, SOAP, and HL7 messages. Support data migrations, testing, validation, deployment, and post-production support activities. Monitor and troubleshoot production data processing and integration workflows.

Implement automation solutions to improve efficiency, reliability, and data quality. Assist with data classification, security compliance, and regulatory requirements. Provide technical leadership, best practices, mentoring, and guidance to team members.

Collaborate with vendors, business users, and technical teams to deliver project objectives. Required Skills & Experience: 3+ years of experience with Microsoft SQL Server T-SQL development. Strong expertise in stored procedures, advanced queries, debugging, and performance optimization.

3+ years of experience with ETL process development. 1+ year of experience with SQL Server Integration Services (SSIS). 3+ years of experience with report development and reporting solutions.

3+ years of experience with data warehousing and relational database design. 1+ year of experience working with HL7 v2.x messaging standards, including ORU messages. 3+ years of experience processing XML and structured data formats

3+ years of experience supporting Microsoft SQL Server 2016 or higher. Experience with healthcare data security requirements including HIPAA, PHI, PII, and related compliance standards. Strong experience in database troubleshooting, performance tuning, and process automation.

Preferred Skills: Experience managing and processing large-scale datasets exceeding 1TB. Requirements gathering, business analysis, and technical documentation experience. Public health, healthcare, or disease surveillance systems experience.

Experience with Statistical Analysis System (SAS). Knowledge of LOINC and SNOMED healthcare standards. Experience working with FASTQ files and demultiplexing processes.

Experience with R and RStudio. Familiarity with Electronic Disease Surveillance Systems (EDSS), eHARS, CDC reporting systems, or similar healthcare platforms. Experience with Electronic Case Reporting (eCR) integrations and workflows.

Power BI reporting and dashboard development experience. Education Bachelor's Degree in Computer Science, Information Technology, Data Management, or a related field, or equivalent combination of education and professional experience. Technical Environment Microsoft SQL Server 2016+ T-SQL SQL Server Management Studio (SSMS) SQL Server Integration Services (SSIS) ETL and Data Pipeline Development Data Warehousing Solutions Power BI HL7 v2.x Messaging XML, CSV, SOAP Healthcare Data Exchange Systems SAS Electronic Case Reporting (eCR) Healthcare Data Compliance Standards

Apply