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Remote Statistical Programmer Jobs in Texas (NOW HIRING)

Kiongroup

Simulation Engineer

Plano, TX · On-site +1

$65K - $140K/yr

... remote work. This role involves building and evaluating simulation models that contribute to the ... Configure, complete, and lead simulation scenarios, experiments, and statistical runs. * Interpret ...

Kiongroup

Simulation Engineer

Plano, TX · On-site +1

$65K - $140K/yr

... remote work. This role involves building and evaluating simulation models that contribute to the ... Configure, complete, and lead simulation scenarios, experiments, and statistical runs. * Interpret ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production ... Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 ...

Natera

Manager, Software Engineering

Austin, TX · On-site +1

$129.40K - $161.80K/yr

San Carlos, CA, Austin, TX, or Remote, USA POSITION SUMMARY: Natera is seeking a skilled, self ... The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory ...

DataAnnotation

Economist - AI Trainer

El Paso, TX · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.

DataAnnotation

Data Science Consultant

El Paso, TX · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.

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How much do remote statistical programmer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote statistical programmer in Texas is $137,225.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $149,100.00 per year, depending on experience, location, and employer.

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 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 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.

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.

More about Remote Statistical Programmer jobs
What are the most commonly searched types of Statistical Programmer jobs in Texas? The most popular types of Statistical Programmer jobs in Texas are:
What are popular job titles related to Remote Statistical Programmer jobs in Texas? For Remote Statistical Programmer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Statistical Programmer jobs in Texas look for? The top searched job categories for Remote Statistical Programmer jobs in Texas are:
What cities in Texas are hiring for Remote Statistical Programmer jobs? Cities in Texas with the most Remote Statistical Programmer job openings:
Remote Statistical Programmer jobs near you
Data Science Intern - Summer 2026 - Remote

Data Science Intern - Summer 2026 - Remote

UPLAND CAPITAL GROUP INC

Dallas, TX • On-site, Remote

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Science Intern - Summer 2026 - Remote

As an Excess and Surplus (E&S) carrier, we face unique and interesting problems every day. We are looking for a Data Science Intern to join our RA&D team for the summer. The role will report to the Director of Data Science.

Upland Capital Group, Inc. is an AM Best rated "A-" VIII specialty property/casualty insurer headquartered in Dallas, Texas. Through its wholly owned insurance carrier, Upland Specialty Insurance Company, the company markets, underwrites and services specialty insurance products in select markets to include excess transportation, construction casualty, excess casualty, primary general liability, excess public entity, professional liability errors and omissions as well as excess cyber liability.

We focus on "old school" underwriting as a craft, add "new school" analytics and technology, and encourage a gritty, growth mindset among people called "we entrepreneurs."

At our Risk, Analytics, & Data (RA&D) team, we focus on Actuarial, Data Science, Data and Model Engineering, and Enterprise Risk Management functions. Our Actuarial and Data Science model environment and architecture is containerized and cloud-based, running on Azure. This internship offers hands-on experience within a production analytics environment - working alongside experienced practitioners on real problems in specialty insurance. You will contribute to projects that enhance actuarial, underwriting, and claims insights through data-driven analytics, while developing practical skills in a collaborative, intellectually demanding setting.

Duties and Responsibilities

As a Data Science Intern at Upland, you will work alongside our data scientists and actuaries on analyses and modeling projects that support decision-making across actuarial, underwriting, and claims functions. You will be encouraged to ask questions, try new approaches, and develop your skills in a real production analytics environment.

Responsibilities will include:

  • Contribute to the curation of modeling datasets using internal and external data sources
  • Support the development and testing of models and analytics products under the guidance of senior data scientists
  • Assist with model documentation and help maintain standards for reproducibility and transparency
  • Research and apply data science techniques relevant to specialty insurance problems
  • Use AI to develop more efficient analytic workflows

Required Experience, Education, and Skills

Required:

  • Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field
  • Basic understanding of statistical modeling and machine learning concepts
  • Proficiency or coursework in Python, R, and/or SQL
  • Demonstrated experience using AI coding tools such as Claude Code, Codex, or similar
  • Self-starter, quick learner, and creative problem solver who thrives in a flexible, fast-paced, and remote work environment

Preferred:

  • Exposure to or interest in a variety of modeling techniques (e.g., Regression, Classification, Natural Language Processing, Large Language Models, etc.)
  • Basic understanding of the P&C insurance industry

Disclosures:

Pay Estimate: $ 22 per hour

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