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Remote Sas Sql Jobs (NOW HIRING)

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based ... Base SAS, Macro, SAS SQL; experience with large, complex clinical datasets). • Hands-on ...

Experience writing statistical and analytical programming code in SAS,SQL, or R. * Excellent written and verbal communication skills. * Demonstrated ability to manage projects.

Remote Duration: 12 Months Contract (with possible extension) Remote Position Description: The ... Experience writing statistical and analytical programming code in SAS,SQL, or R. Excellent written ...

Supervisor of Analytics Reporting

OR · Remote

$115K - $153K/yr

... SAS/SQL highly preferred) * 3+ years of recent experience creating reports, reviewing for trends ... Remote #zip INDCSMP Benefits * Excellent benefits package that includes 401(K) match, adoption ...

Remote Duration: 12 Months Contract (with possible extension) Remote Position Description: The ... Experience writing statistical and analytical programming code in SAS,SQL, or R. Excellent written ...

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Remote Sas Sql information

What are the key skills and qualifications needed to thrive as a Remote SAS SQL Developer, and why are they important?

To thrive as a Remote SAS SQL Developer, you need a strong background in data analysis, proficiency in SAS and SQL programming, and a relevant degree in computer science, statistics, or a related field. Familiarity with data visualization tools, ETL processes, and experience using databases like Oracle or Teradata are often required. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills for collaborating with distributed teams and translating business needs into technical solutions. These skills and qualities are essential for ensuring accurate data management, actionable insights, and successful project delivery in a remote environment.

What are some common challenges faced by professionals working in a remote SAS SQL role, and how can they be addressed?

One of the main challenges in a remote SAS SQL role is maintaining effective communication and collaboration with team members, especially when working across different time zones. Additionally, remote professionals may need to proactively manage their schedules to balance multiple projects and deadlines, as well as ensure data security and compliance when accessing sensitive information from home. To address these challenges, it's important to establish regular check-ins with your team, use secure remote access solutions, and leverage project management tools to stay organized and connected.

What is a Remote SAS SQL job?

A Remote SAS SQL job typically involves working with the SAS (Statistical Analysis System) and SQL (Structured Query Language) software to manage, analyze, and report on data from a remote location. Professionals in these roles use SAS for statistical analysis and SQL for querying and manipulating databases. Remote SAS SQL jobs allow individuals to perform data processing, create reports, and support business decision-making without being physically present in an office, offering flexibility and the ability to collaborate with teams virtually.

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

AspectRemote Sas SqlRemote Data Analyst
Required CredentialsSQL, SAS certifications, data management skillsSQL, Excel, data visualization tools, sometimes SAS
Work EnvironmentData analysis, database management, programmingData interpretation, reporting, visualization
Industry UsageHealthcare, finance, research, analyticsBusiness, marketing, finance, healthcare

Remote Sas Sql professionals focus on managing and analyzing data using SAS and SQL tools, often working with large datasets and complex queries. Remote Data Analysts interpret data, create reports, and visualize insights, sometimes using SAS but more frequently Excel and BI tools. While both roles require strong analytical skills and familiarity with SQL, Remote Sas Sql roles emphasize programming and database management, whereas Remote Data Analysts focus on translating data into actionable insights.

More about Remote Sas Sql jobs
What cities are hiring for Remote Sas Sql jobs? Cities with the most Remote Sas Sql job openings:
What are the most commonly searched types of Sas Sql jobs? The most popular types of Sas Sql jobs are:
What states have the most Remote Sas Sql jobs? States with the most job openings for Remote Sas Sql jobs include:
Infographic showing various Remote Sas Sql job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% Remote job distribution.
Data Scientist

Data Scientist

MM International

New York, NY • Remote

Contractor

Posted 20 days ago


Job description

Title:  Data Scientist

Location:  Remote

Duration 4-6 months

The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined KRIs, QTLs, and other risk metrics using clinical data, with strong emphasis on SAS programming to deliver robust and scalable analytics across multiple studies.
KEY RESPONSIBILITIES:
The RBQM Data Scientist may perform a range of the following responsibilities, depending upon the studies’ complexity and studies’ development stage:
• Implement and maintain pre-defined KRIs, QTLs, and triggers using robust SAS programs/macros across multiple clinical studies.
• Extract, transform, and integrate data from EDC systems (e.g., RAVE) and other clinical sources into analysis-ready SAS datasets.
• Run routine and ad-hoc RBQM/central monitoring outputs (tables, listings, data extracts, dashboard feeds) to support signal detection and study review.
• Perform QC and troubleshooting of SAS code; ensure outputs are accurate and efficient.
• Maintain clear technical documentation (specifications, validation records, change logs) for all RBQM programs and processes.
• Collaborate with Central Monitors, Central Statistical Monitors, Data Management, Biostatistics, and Study Operations to understand requirements and ensure correct implementation of RBQM metrics.
Qualifications
Education & Experience
• PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field.
• Relevant clinical development experience (programming, RBM/RBQM, Data Management), for example:
o PhD: 3+ years
o MS: 5+ years
o BA/BS: 8+ years
Technical – Required
• Advanced SAS programming skills (hard requirement) in a clinical trials environment (Base SAS, Macro, SAS SQL; experience with large, complex clinical datasets).
• Hands-on experience working with clinical trial data.
• Proficiency with Microsoft Word, Excel, and PowerPoint.
Technical – Preferred / Strong Plus
• Experience with RAVE EDC.
• Awareness or working knowledge of CDISC, CDASH, SDTM standards.
• Exposure to R, Python, or JavaScript and/or clinical data visualization tools/platforms.