1

Statistics Programmer Jobs in Texas (NOW HIRING)

Data Science Engineer

Austin, TX · On-site

$113K - $136K/yr

Required : • BS/MS in Computer Science, Statistics, Mathematics, or equivalent • Mastery of ... programming languages • Experience with techniques in Natural Language Processing like named ...

Carry out statistical analyses and provide direction to programmers, using standard software packages to interpret and translate results within a statistical framework into biomedical terms and ...

Carry out statistical analyses and provide direction to programmers, using standard software packages to interpret and translate results within a statistical framework into biomedical terms and ...

Job Title: Technical Programmer Job location : Irving, Texas Duration: 12 month *Java, Scala ... In depth knowledge of scalable model deployment, model performance monitoring stats and modelling ...

SAS Statistician

Houston, TX · On-site

$95K/yr

You will be our in-house statistics expert. You love data, and you love answering questions with ... developer. You also don't just look at numbers and pass them on unexamined. You appreciate that ...

You will be our in-house statistics expert. You love data, and you love answering questions with ... developer. You also don't just look at numbers and pass them on unexamined. You appreciate that ...

next page

Showing results 1-20

Statistics Programmer information

What are Statistics Programmers?

Statistics Programmers are professionals who specialize in writing code to analyze and manage data, often for clinical trials, research studies, or business analytics. They use statistical software like SAS, R, or Python to clean, organize, and interpret data, generating reports and visualizations to support decision-making. Their work is critical in ensuring that data-driven findings are accurate, reproducible, and comply with industry standards. Statistics Programmers often collaborate with statisticians, data managers, and researchers to deliver reliable results. They play a key role in translating complex data into actionable insights.

How do Statistics Programmers typically collaborate with biostatisticians and data managers in a clinical research setting?

Statistics Programmers frequently work closely with biostatisticians to understand statistical analysis plans and translate them into efficient programming code, often using SAS or R. They also coordinate with data managers to ensure data integrity, address discrepancies, and maintain consistency in datasets. This collaborative environment requires clear communication and adaptability, as project requirements and timelines can shift based on regulatory demands or study changes. Building strong relationships with these teams helps ensure high-quality deliverables and fosters professional growth.

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

To thrive as a Statistics Programmer, you need a strong background in statistics, programming (especially SAS or R), and data analysis, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software such as SAS, R, or Python, and familiarity with clinical data standards like CDISC, are highly valued, and certifications in these tools can be advantageous. Attention to detail, problem-solving skills, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure accurate data analysis, efficient reporting, and compliance with industry standards, which are vital for success in this role.

What is the difference between Statistics Programmer vs Data Analyst?

AspectStatistics ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related field; programming skillsBachelor's in Statistics, Data Science, or related field; analytical skills
Work EnvironmentClinical trials, research institutions, pharmaceutical companiesBusiness, marketing, finance, healthcare organizations
Employer & Industry UsageUsed in clinical research, biotech, pharmaUsed across various industries for data interpretation

While both roles involve data analysis, Statistics Programmers primarily focus on programming and analyzing data for research or clinical trials, whereas Data Analysts interpret data to inform business decisions. The roles often overlap in skills and tools but differ in application and industry focus.

What are popular job titles related to Statistics Programmer jobs in Texas? For Statistics Programmer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Statistics Programmer jobs in Texas look for? The top searched job categories for Statistics Programmer jobs in Texas are:
What cities in Texas are hiring for Statistics Programmer jobs? Cities in Texas with the most Statistics Programmer job openings:
Infographic showing various Statistics Programmer job openings in Texas as of June 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.
Data Science Engineer

Data Science Engineer

FreedomPay

Austin, TX • On-site

$113K - $136K/yr

Full-time

Posted 3 days ago


Job description

Job Summary:
FreedomPay is seeking a Data Science Engineer who can creatively solve complex data problems and enhance their product team. The role involves developing machine learning models, collaborating with various teams, and implementing these models in a production environment.
Responsibilities:
• Develop and improve upon machine learning models for a variety of tasks: e.g. company classification, funding and valuation prediction, company similarity
• Consult and develop data analytics pushes with product, marketing, and sales teams
• Write and communicate results and approaches both within and outside LeverDemo
• Implement machine learning models in a production environment
• Jump between data modeling, predictive modeling, data visualization, prototyping, and writing production code
Qualifications:
Required:
• BS/MS in Computer Science, Statistics, Mathematics, or equivalent
• Mastery of machine learning principles, from model specification to execution to validation
• Understanding of supervised and unsupervised methods like decision trees, support vector machines, and recommender systems
• Skill in Python, R, or similar statistical programming languages
• Experience with techniques in Natural Language Processing like named entity recognition, information extraction, and sentiment analysis
• Comfort working in a Unix environment
Company:
FreedomPay is a white label e-commerce platform for banks, retailers and healthcare organizations to deliver cloud-based user experiences. Founded in 2000, the company is headquartered in Radnor, USA, with a team of 501-1000 employees. The company is currently Late Stage.