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Statistical Programmer Jobs in Richardson, TX (NOW HIRING)

Munich RE

Data Scientist

Arlington, TX · On-site

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 ...

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Statistical Programmer information

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$76.7K

$133.8K

$226.1K

How much do statistical programmer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for statistical programmer in Richardson, TX is $133,760.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $145,300.00 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.

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Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Richardson, TX as of August 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 79% In-person, 2% Hybrid, and 19% Remote job distribution, with an average salary of $133,760 per year, or $64.3 per hour.

Lead Data Analyst

Texas A&M Agrilife Extension Service

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Texas A&M University rating

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

236th of 628 rated colleges and universities

Job description

Job Title

Lead Data Analyst

Agency

Texas A&M Agrilife Research

Department

Dallas

Proposed Minimum Salary

Commensurate

Job Location

Dallas, Texas

Job Type

Staff

Job Description

About Texas A&M AgriLife

Texas A&M AgriLife is comprised of the following Texas A&M University System members:

  • Texas A&M AgriLife Extension Service

  • Texas A&M AgriLife Research

  • College of Agriculture and Life Sciences at Texas A&M University

  • Texas A&M Forest Service

  • Texas A&M Veterinary Medical Diagnostic Laboratory

As the nation's largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.

Click here to learn more about joining AgriLife!

Position Information

Job Summary:

The Lead Data Analyst, under general direction, serves as a technical lead on complex data projects. Provides technical oversight for the application of and compliance with technical standards. Completes reports and summaries for management and users including project status reports, problem reports, and progress summaries.

Responsibilities:

  • Provide leadership and strategic direction for data analysis activities across a portfolio of public health and nutrition research projects, ensuring alignment with organizational and research goals.

  • Supervise, mentor, and support data analysts and junior statisticians; delegate tasks, facilitate professional development, and provide technical guidance and quality assurance.

  • Oversee the design, implementation, and continual optimization of data analysis workflows, ensuring best practices are established and maintained across projects.

  • Review and document data structures to support both current and future research objectives at the program and institutional level.

  • Lead the development and application of advanced statistical models and methodologies, including but not limited to: multilevel modeling, mixed models for clustered randomized trials, longitudinal data analysis, and other advanced statistical techniques for complex datasets.

  • Oversee the design and execution of statistical analysis plans, including power and sample size calculations, for diverse study designs (e.g., randomized controlled trials, community-randomized trials, longitudinal cohorts) and ensure these meet funding requirements and research objectives.

  • Supervise the establishment, maintenance, and improvement of data collection systems; direct data collection and quality assurance activities, including programming forms, monitoring data integrity, and developing data cleaning procedures.

  • Coordinate acquisition, cleaning, merging, and management of data from multiple secondary sources (local, state, and national databases) and ensure robust data governance and compliance with relevant privacy and security policies.

  • Develop quality control assessments to identify and resolve data issues, implement process improvements, and train team members on best practices in data management and cleaning.

  • Oversee and ensure the quality of documentation for data workflows, cleaning, and analysis procedures, and ensure reproducibility and transparency across all stages of the analytic process.

  • Prepare or review reports, manuscripts, presentations, and visualizations of analytic findings for internal and external use; ensure clarity, accuracy, and suitability for various audiences.

  • Collaborate with principal investigators, multidisciplinary research teams, and external partners (including funding agencies and data stewards) to interpret findings, advise on data strategy, and translate results into actionable insights.

  • Lead the development of statistical and analytic sections of grant proposals, supporting funding initiatives and program growth.

  • Participate in strategic planning for the data analytics function and represent the data analysis team in broader organizational initiatives.

  • Performs other duties as assigned.

Required Qualifications:

  • Bachelor's degree in a relevant field (e.g., epidemiology, public health, biostatistics, nutrition, statistics, clinical research) or equivalent combination of education and experience.

  • At least 6 years of professional experience in data collection and analysis, including direct experience with statistical modeling and management of research datasets.

  • Proficiency in statistical programming languages (e.g., R, SPSS, Stata, SAS), data visualization tools (e.g., Tableau, Power BI), and database applications.

  • Demonstrated experience leading the preparation of research manuscripts and securing grant funding.

  • Excellent verbal and written communication skills with ability to effectively communicate with faculty and staff.

  • Detail oriented and ability to organize tasks and prioritize work with minimal supervision.

  • Ability to multi-task and work cooperatively with others.

Preferred Qualifications

  • Master's degree or Ph.D. in nutrition epidemiology or related field (e.g., public health, nutrition, statistics, or relevant education and experience meeting job expectations).

  • At least one year of related experience.

  • Experience working with and accessing local, state and national data sets (e.g., Texas health data, NHANES, WHI, Framingham Heart Study, etc.).

  • Experience developing valid, reliable composite scoring and screening instruments (e.g., Life's Simple 7; dietary screeners; etc.).

  • Knowledge and understanding of the mission and role of the Land Grant University System, including community-campus partnership and the Extension system.

What You Need to Know

Salary: Compensation is commensurate with the candidate's qualifications.

Flexible Work Arrangements: Flexible work schedules and remote work options may be available for this position, depending on the nature of the role and employee eligibility, in accordance with AgriLife Alternate Work Location Procedures.

Important Notice Regarding H1-B Sponsorship: Your employment at Texas A&M AgriLife may require nonimmigrant sponsorship. A Presidential proclamation issued on September 19, 2025, imposes a $100,000 fee on new H-1B petitions filed after September 21, 2025. Texas A&M AgriLife will NOT pay this fee. If the fee is imposed on your petition, this offer of employment will be revoked. If actions taken during your employment result in the imposition of this fee, your employment will be terminated. To the extent that this statement conflicts with any applicable System or member Policy, Regulation, or Rule, this statement will control. We recommend that you consult with your private immigration counsel at your own expense regarding potential implications.

In addition, on January 27, 2026, Texas Governor Abbott issued a moratorium on the filing of any new H-1B unless approved by the Texas Workforce Commission. Accordingly, if you will now or in the future require sponsorship for employment visa status this moratorium may affect our ability to employ you should you be selected as the final candidate.

Benefits and Leave:

  • Health, dental, vision, life and long-term disability insurance (AgriLife contributes to premiums)

  • 12-15 annual paid holidays

  • Up to 8 hours/month sick leave and at least 8 hours/month vacation

  • Automatic enrollment in the Teacher Retirement System of Texas

  • Employee Wellness Initiative

  • Access to ongoing professional development and training through Aspire, LinkedIn Learning, and internally developed programs

How to Apply

Applications must include all job application data or a complete resume. Incomplete applications may be rejected. Applicants are encouraged to upload a resume or use LinkedIn to prepopulate application fields.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.

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