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Statistical Programmer Jobs in Denton, TX (NOW HIRING)

A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software ...

A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software ...

Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product ... Programming experience: Python & Spark (preferred) and/or other languages such as R , SQL, Hive ...

Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product ... Programming experience: Python & Spark (preferred) and/or other languages such as R , SQL, Hive ...

Gen AI Engineer

Irving, TX · On-site

$106K - $127K/yr

... or Pgvector. • Statistical Analysis Strong proficiency in statistical techniques and ... feature engineering ensure data integrity. • AIML Strong NLP Deep Learning Concepts with ...

GEN AI Engineer

Irving, TX · On-site

$106K - $127K/yr

... or Pgvector. • Statistical Analysis Strong proficiency in statistical techniques and ... feature engineering ensure data integrity. • AIML Strong NLP Deep Learning Concepts with ...

Consultant (BI Developer Skillset)

Dallas, TX · On-site

$47.50 - $65/hr

Bachelor's degree or higher in a quantitative/technical field (e.g., Computer Science, Economics, Finance, Mathematics, Statistics, Engineering). * Proven track record of independently delivering big ...

Quality Engineer

Fort Worth, TX · On-site

$69K - $89K/yr

MUST HAVE: AERO, ROOT CAUSE ANALYSIS, STATISTICAL ANALYSIS, PFMEA, SIX SIGMA TOOLS, SUPPLIER ... Aerospace background, GC/USC * 4+ years of experience as a Supplier Quality Engineer in Aerospace

Quality Engineer

Fort Worth, TX · On-site

$69K - $89K/yr

MUST HAVE: AERO, ROOT CAUSE ANALYSIS, STATISTICAL ANALYSIS, PFMEA, SIX SIGMA TOOLS, SUPPLIER ... Aerospace background, GC/USC * 4+ years of experience as a Supplier Quality Engineer in Aerospace

Showing results 41-60

Statistical Programmer information

See Denton, TX salary details

$79.2K

$138.1K

$233.5K

How much do statistical programmer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for statistical programmer in Denton, TX is $138,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,200.00 and $150,000.00 per year, depending on experience, location, and employer.

What is a statistical programmer?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

What does a statistical programmer do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

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

To thrive as a Statistical Programmer, you need a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What are some common challenges faced by statistical programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

What are the most commonly searched types of Statistical Programmer jobs in Denton, TX?

The most popular types of Statistical Programmer jobs in Denton, TX are:

What are popular job titles related to Statistical Programmer jobs in Denton, TX?

For Statistical Programmer jobs in Denton, TX, the most frequently searched job titles are:

What job categories do people searching Statistical Programmer jobs in Denton, TX look for?

The top searched job categories for Statistical Programmer jobs in Denton, TX are:

What cities near Denton, TX are hiring for Statistical Programmer jobs?

Cities near Denton, TX with the most Statistical Programmer job openings:

Infographic showing various Statistical Programmer job openings in Denton, TX as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 93% In-person, and 7% Hybrid job distribution, with an average salary of $138,102 per year, or $66.4 per hour.

Business Analytics Product Owner

Texas Capital

Richardson, TX • On-site

Full-time

Re-posted 9 days ago


Job description

Job Summary:
Texas Capital Bank is dedicated to helping businesses and their leaders succeed through expert financial services. The Business Analytics Product Owner will support the development of analytics solutions for the Finance & Risk pod, focusing on translating business problems into analytical products that drive executive decision-making.
Responsibilities:
• Lead the development and execution of the Finance & Risk analytics roadmap; contribute to prioritization decisions and help translate requirements into technical specifications with stakeholders and data engineers
• Develop analytics applications in Streamlit, Posit, and our existing BI platforms; own the full lifecycle from requirements to production deployment and ongoing iteration
• Write SQL and Python for business logic, measures, and semantic layer definitions that drive accuracy, consistency, and strong performance
• Validate that data engineering output meets business needs; provide actionable feedback on data freshness, accuracy, completeness and overall usability
• Gather requirements from Finance & Risk teams; present findings to executive leadership with a clear articulation of business impact and decision implications
• Explore and pilot agentic AI use cases for Finance & Risk analytics; identify opportunities where AI can augment human analysis, improve efficiency, or create new business value
Qualifications:
Required:
• 5+ years of hands‑on experience in analytics, analytics engineering, BI development, or data science experience (or equivalent practical experience)
• Advanced SQL (e.g., CTEs, window functions, performance tuning) and Python for data manipulation (pandas/NumPy), with clean, version‑controlled code (git workflows)
• Strong understanding of dimensional modeling concepts (e.g., star schemas, conformed dimensions, and SCD handling) and the ability to apply these principles when defining business logic, metrics, and semantic layers (hands‑on model development is helpful but not required)
• Experience with Snowflake or another modern cloud data warehouse, with willingness to deepen Snowflake expertise
• Interactive dashboard development in a modern BI platform (Power BI, Sigma, Looker, or similar), with attention to usability and performance
• Strong communication and cross‑functional collaboration skills, including the ability to translate between business needs and technical implementation
• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related quantitative field
Preferred:
• Analytics application development in Streamlit or Posit (or strong Python fundamentals with willingness to learn quickly)
• Familiarity with Finance & Risk domains (e.g., financial reporting/GL, budgeting & forecasting, or risk analytics)
• Exposure to agentic AI or LLM‑powered analytics
• Experience with predictive modeling, time‑series analysis, or statistical techniques
• Comfort with agile development practices, code reviews, and iterative product delivery
• Experience presenting to senior leadership (C‑suite exposure a plus)
Company:
Since our founding in 1998, Texas Capital remains impassioned by the spirit of entrepreneurship and innovation. Founded in 1998, the company is headquartered in Dallas, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Texas Capital Bank logo

About Texas Capital Bank

Sourced by ZipRecruiter

Texas Capital Bank is built to help businesses and their leaders. Our depth of knowledge and expertise allows us to bring the best of the big banks at a scale that makes sense for our clients, with highly experienced bankers who truly invest in people's success -- today and tomorrow.

Industry

Commercial banking

Company size

1,001 - 5,000 Employees

Headquarters location

Dallas, TX, US

Year founded

1998

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