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Statistical Programmer Jobs in Dallas, TX (NOW HIRING)

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 ...

Required : • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related technical field. • 8+ years of experience in data science, machine ...

R Programmer

Irving, TX · On-site

  • Medical

  • Retirement

  • PTO

Bachelor's in informatics, computer science/engineering, biomedical engineering, health information, statistics, or related field; * Analytical thinker with great attention to detail; * Ability to ...

R Programmer

Irving, TX · On-site +1

  • Medical

  • Retirement

  • PTO

Bachelor's in informatics, computer science/engineering, biomedical engineering, health information, statistics, or related field; * Analytical thinker with great attention to detail; * Ability to ...

Build scalable data products, models, and decision-support tools using statistical methods, machine learning, optimization, and modern analytics engineering practices. * Partner with business leaders ...

Build scalable data products, models, and decision-support tools using statistical methods, machine learning, optimization, and modern analytics engineering practices. * Partner with business leaders ...

Data Scientist

Dallas, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Graduate degree inMathematics,Statistics,Engineering, or other STEM field with2-4 yearsofexperience working in a data science/analyticsenvironment. * PhD inMathematics,Statistics,Engineering, or ...

Data Scientist

Arlington, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Bachelor's degree in quantitative field (statistics, engineering, business analytics, computer science, information systems or related degree) Passionate about data analytics, strong strategic and ...

Applies advanced knowledge of statistical procedures, Psychometric methods and their applications and statistical programming (e.g., R). Job Requirements * Ph.D. in Statistics, Education Measurement ...

... one statistical programming language (R, SAS, and/or Python). • Strong quantitative skills. • Experience in applying advanced statistical or machine learning techniques. • Knowledge of ...

Showing results 41-60

Statistical Programmer information

See Dallas, TX salary details

$83.9K

$146.3K

$247.4K

How much do statistical programmer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for statistical programmer in Dallas, TX is $146,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,200.00 and $159,000.00 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 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 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 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 Dallas, TX? The most popular types of Statistical Programmer jobs in Dallas, TX are:
What are popular job titles related to Statistical Programmer jobs in Dallas, TX? For Statistical Programmer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer jobs in Dallas, TX look for? The top searched job categories for Statistical Programmer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Statistical Programmer jobs? Cities near Dallas, TX with the most Statistical Programmer job openings:
Infographic showing various Statistical Programmer job openings in Dallas, TX as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 100% In-person job distribution, with an average salary of $146,326 per year, or $70.3 per hour.

Technical Programmer

TriOptus LLC

Irving, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: Technical Programmer
Job location : Irving, Texas
Duration: 12 month
*Java, Scala, Python, and Open Source RDBMS and NoSQL databases and Cloud-based data warehousing services *
Job Description:
  • Safety and Soundness Data Engineer
  • Java, Scala, Python, and Open Source RDBMS and NoSQL databases and Cloud-based data warehousing services.
  • This role resides within the NAM Engineering Risk and Controls Technology team to support the Global Data and Analytics organization.
  • It reports to the Safety and Soundness Platform Lead.
  • Technology Safety and Soundness is a series of controls and supporting processes that reinforces the core organizational focus on effectively managing risk.
  • This is an exciting opportunity to work on an important new platform, which is in its MVP stage and will have huge impacts on the reporting and monitoring technology for the Safety and Soundness (technology risk) business.

General Requirements:
  • 8 plus years Knowledge of continuous agile (scrum); development methodology is a plus
  • 8 plus years of building solutions to improve or replace manual data sourcing processes
  • 5 plus years of experience in building solutions with machine learning, graph analytics and other advance analytics techniques
  • 5 plus years working with Oracle, Oracle SQL, Java, and Mongo is necessary
  • In depth knowledge of data pre-processing, feature engineering and modeling
  • In depth knowledge of scalable model deployment, model performance monitoring stats and modelling pipeline automation.
  • 3 plus years working knowledge of the Big Data EAP ecosystem technologies is a plus
  • Hands-on experience with Python/Pyspark/Scala is beneficial
  • Hands-on experience with XGBoost, Tensorflow, scikit-learn, PySpark, Spark GraphX is desirable
  • Experience in consumer banking, financial services, or risk controls domains would be ideal
  • Bachelor's or University Degree is Required, Advanced Degree is Useful

General Responsibilities:
  • Be a subject matter expert regarding data pipelines to the DevOps focused team and to external stakeholders
  • Extract, Transform, and Load (ETL) processing routines and data feeds, creating necessary data structures or data models to support data at all stages
  • Design and implement custom data analytic and BI/Reporting products
  • Evaluation of data sourcing to this new platform and co-ownership of the data models and sourcing structure to support that platform.
  • This role will become a key owner of that safety and soundness technology platform as it evolves along with the development team
  • Provide extensive data profiling and analysis-based research to stimulate meaningful dialogue and decision making
  • Candidates will work with UI teams and business stakeholders as end consumers of the data to define BI and reporting requirements to ensure we are meeting their requirements.
  • Candidates will contribute to the team's strategy around development and deployment of best practices
  • Use your data science skills to provide meaningful AI and machine learning evaluations to enhance the platform useful life, sustainability, and value proposition
  • Partner within the data and scrum team to expand, enhance, and test the data model