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Remote Sas Programmer Jobs in Austin, TX (NOW HIRING)

IQVIA

Data Analytics Analyst II

Austin, TX · Remote

$56K - $140K/yr

A willingness or ability to travel as needed ( This is a remote / WFH role open to candidates currently residing the United States. IQVIA is a leading global provider of clinical research services ...

Thatch

Data Scientist, Analytics

Austin, TX · On-site +1

$160K - $200K/yr

A final conversation with engineering and company leadership. Estimated Compensation Range $160,000-$200,000 USD About Thatch We're a fully distributed early stage company using technology to change ...

Cigna

Data Science Advisor - Hybrid

Austin, TX · On-site +1

Strong programming skills in Python, R, SQL, or similar tools. * Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. * Experience developing predictive ...

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All JobsSas Programmer JobsRemote Sas Programmer JobsRemote Sas Programmer Jobs in Austin, TX

Remote Sas Programmer information

See Austin, TX salary details

$14

$48

$78

How much do remote sas programmer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote sas programmer in Austin, TX is $48.57, according to ZipRecruiter salary data. Most workers in this role earn between $34.09 and $61.01 per hour, depending on experience, location, and employer.

Can you work remotely as a SAS programmer?

Yes, SAS programmers can often work remotely, especially as many organizations adopt flexible work arrangements. Remote SAS programming roles typically require strong skills in SAS software, data analysis, and communication tools like email and video conferencing. Availability of remote work depends on the employer and specific job requirements.

Are remote SAS programmers in demand?

Remote SAS programmers are in steady demand due to their specialized skills in data analysis, statistical programming, and familiarity with SAS software. Many industries such as healthcare, pharmaceuticals, and finance seek these professionals for data management and reporting tasks, often offering remote work options. The demand is expected to remain stable as data-driven decision-making continues to grow.

What is a remote SAS programmer?

A Remote SAS Programmer is a professional who uses SAS (Statistical Analysis System) software to manage, analyze, and interpret data while working from a remote location. They design and write SAS programs for statistical analysis, data management, and reporting, often for industries like healthcare, finance, or research. Remote SAS Programmers may collaborate with teams virtually, ensuring data accuracy and providing insights without being physically present in an office. They need strong analytical skills, proficiency in SAS programming, and the ability to work independently.

What does a remote SAS programmer do?

SAS software provides statistical analysis, business intelligence, and data management tools for businesses and organizations. As a remote SAS programmer, you have a variety of software development duties. For example, you may develop new applications or find new uses for already-existing applications. You may configure tools to work in specific fields or code dashboards for end users. Your responsibilities and focus vary depending on the industry. They may be related to market and business research or scientific data analysis.

Does remote SAS programmer have remote jobs?

Remote SAS programmers can find remote job opportunities, as many companies hire for this role to analyze data and generate reports remotely. These positions often require proficiency in SAS software, data management skills, and sometimes certifications, with flexible schedules being common in remote work environments.

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

AspectRemote Sas ProgrammerRemote Data Analyst
Required credentialsTypically requires SAS certification, degree in computer science, statistics, or related fieldOften requires a degree in statistics, mathematics, or related field; certifications like CAP or Microsoft certifications are common
Work environmentPrimarily focused on coding, data manipulation, and statistical analysis using SAS softwareInvolves data collection, cleaning, analysis, and reporting, often using various tools including Excel, SQL, and visualization software
Employer and industry usageUsed mainly in healthcare, pharmaceuticals, and clinical research industriesWidely used across finance, marketing, healthcare, and technology sectors

While both roles involve data analysis, Remote Sas Programmers focus on coding and statistical modeling using SAS software, primarily in clinical and healthcare industries. Remote Data Analysts have a broader scope, working with various tools and industries to interpret data and generate reports.

What are some common challenges faced by remote SAS programmers, and how can they be overcome?

Remote SAS Programmers often face challenges such as communicating effectively with distributed teams, managing time zone differences, and ensuring secure access to sensitive data. To overcome these, it's important to establish clear communication routines, use collaborative project management tools, and follow strict data security protocols as outlined by your employer. Additionally, staying proactive in seeking feedback and clarifying project requirements can help ensure smooth workflow and successful project delivery.

What are the key skills and qualifications needed to thrive as a remote SAS programmer, and why are they important?

To thrive as a Remote SAS Programmer, you need a strong background in statistical analysis, programming with SAS, and typically a degree in statistics, computer science, or a related field. Familiarity with SAS Base, SAS Macro, and data management tools, as well as knowledge of clinical data standards like CDISC, is often required, and certifications such as SAS Certified Base Programmer can be advantageous. Excellent problem-solving abilities, attention to detail, and effective remote communication skills help set candidates apart in virtual environments. These competencies ensure accurate data analysis, adherence to project standards, and efficient collaboration with cross-functional teams from a distance.
More about Remote Sas Programmer jobs
What are the most commonly searched types of Sas Programmer jobs in Austin, TX? The most popular types of Sas Programmer jobs in Austin, TX are:
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What cities near Austin, TX are hiring for Remote Sas Programmer jobs? Cities near Austin, TX with the most Remote Sas Programmer job openings:
Remote Sas Programmer jobs near you
Infographic showing various Remote Sas Programmer job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $101,033 per year, or $48.6 per hour.

Applied Scientist -- ML, Experimentation & Decision Systems

Everlywell

Austin, TX • On-site, Remote

Full-time

Re-posted 5 days ago

Job description

Everlywell is a digital health company pioneering the next generation of biomarker intelligence—combining AI-powered technology with human insight to deliver personalized, actionable health answers. We transform complex biomarker data into life-changing insights—seamlessly integrating advanced diagnostics, virtual care, and patient engagement to reshape how and where health happens.
Over the past decade, Everlywell has delivered close to 1 billion personalized health insights, transforming care for 60 million people and powering hundreds of enterprise partners. In 2025, an estimated 1 in 94 U.S. adults received an Everlywell test, solidifying our spot as the #1 at-home testing company in the country. Fueled by AI and built for scale, we’re breaking down barriers, closing care gaps, and unlocking a more connected healthcare experience that is smarter, faster, and more personalized.

 
Everlywell operates large-scale health engagement programs that help health plan members complete important care actions — from returning diagnostic kits to accessing preventive and virtual care.
 
We’re hiring an Applied Scientist to build and measure the ML systems that power these programs. This role is focused on machine learning, experimentation, and production measurement. You’ll train models, evaluate performance, design A/B tests, and work with engineering and business stakeholders to improve real-world outcomes.
 
This is a high-impact opportunity to apply ML and experimentation skills to systems that influence real member outcomes at scale. You’ll work on practical, production-facing problems with clear business value, strong cross-functional visibility, and room to help shape how Everlywell uses both ML and AI in operational workflows.If you’re excited by hands-on modeling, rigorous experimentation, and building systems that improve decisions in the real world, we’d love to hear from you.
 
Location Requirement: Candidates must be currently based in Austin, TX, or be willing to relocate to Austin prior to their start date.
 
 
Responsibilities
  • Build and improve ML models used in engagement and operational workflows
  • Develop models for prediction, prioritization, uplift, and related decisioning use cases
  • Define and monitor model performance, business impact, and system health
  • Design and analyze A/B tests and other measurement approaches to evaluate incremental impact
  • Partner with stakeholders to define success metrics and turn findings into decisions
  • Support production rollout and ongoing monitoring with engineering teams
  • Help evaluate AI- and LLM-powered workflows used in production settings
 
Skills & Abilities Required:
  • 5+ years in Applied Science, Data Science, ML, Decision Science, or similar roles
  • Strong hands-on experience training, evaluating, and improving ML models
  • Strong experience designing and analyzing A/B tests
  • Strong Python and SQL skills
  • Experience measuring model, program, or product performance in production
  • Ability to work cross-functionally and communicate clearly with stakeholders
  • PreferredExperience in experimentation platforms, growth or lifecycle modeling, or ML-driven decision systems
  • Experience with causal inference or uplift modeling
  • Experience with LLMs, AI agents, or automated workflows in production
  • Experience in healthcare or regulated environments
  • Snowflake, Python, dbt, Airflow, model registry systems, GitLab
Security Notice: Everlywell never requests fees, payment, or banking information at any stage of the recruitment process. Official communications and interview invitations will only come from verified email addresses ending in @everlywell.com or @everlyhealth.com. To ensure your application is secure, always apply directly through our official careers page at https://www.everlywell.com/careers/.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.