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Statistical Programmer Jobs in Dallas, TX (NOW HIRING)

The statistical programming team develops datasets from our clinical trials and delivers tables, listings, and figures (TLFs) per Statistical Analysis Plans (SAPs) to support new products and ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Applies advanced knowledge of statistical procedures, psychometric methods and their applications and statistical programming (e.g., SAS). Job Responsibilities - Psychometrician: * Leads technical ...

Data Engineer

Richardson, TX

$103K - $124K/yr

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

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 ...

Data Engineer

Richardson, TX · On-site

$103K - $124K/yr

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

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 ...

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

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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 4, 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 July 2026, with employment types broken down into 84% Full Time, 6% Part Time, and 10% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $146,326 per year, or $70.3 per hour.

Full-time

Medical, Retirement, PTO

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


Baylor Scott & White Health rating

7.5

Company rating: 7.5 out of 10

Based on 757 frontline employees who took The Breakroom Quiz

233rd of 887 rated healthcare providers


Job description

About Us

Here at Baylor Scott & White Health we promote the well-being of all individuals, families, and communities. Baylor Scott and White is the largest not-for-profit healthcare system in Texas that empowers you to live well.

Our Core Values are:

  • We serve faithfully by doing what's right with a joyful heart.
  • We never settle by constantly striving for better.
  • We are in it together by supporting one another and those we serve.
  • We make an impact by taking initiative and delivering exceptional experience.
Benefits

Our benefits are designed to help you live well no matter where you are on your journey. For full details on coverage and eligibility, visit the Baylor Scott & White Benefits Hub to explore our offerings, which may include:

  • Immediate eligibility for health and welfare benefits
  • 401(k) savings plan with dollar-for-dollar match up to 5%
  • Tuition Reimbursement
  • PTO accrual beginning Day 1

Note: Benefits may vary based upon position type and/or level.

Job Summary

The Statistical Programmer provides programming help for research projects and other Baylor Scott & White initiatives. This role works with Investigators, Analysts, and Biostatisticians to prepare statistical datasets. The Statistical Programmer also helps perform analyses to produce summary tables and graphs under senior staff direction. The Statistical Programmer is expected to grow professionally by earning programming certifications or improving statistical knowledge. All job duties must be completed in a timely and professional manner.

Essential Functions of the Role
  • Assists in creating statistical datasets by merging multiple files, and formatting and creating new variables.
  • Works directly with investigators, project heads and biostatisticians to gather requirements needed to format data for investigation.
  • Creates and maintains project related documentation such as programming requirements and annotations, data dictionaries and archiving documentation.
  • Creates summary tables with descriptive statistics.
  • Constructs common graphs/figures.
  • Conducts simple, unadjusted statistical examination.
  • Assists in review and validation of code by other team members.
  • Attends meetings regularly and participates in technical discussions.
  • Conducts oneself in a professional manner and follows best practices for implementing and conducting project activities.
Key Success Factors
  • Proficiency in SAS and/or statistical programming languages (e.g. R, STATA, Python).
  • Knowledge of basic statistical analyses (e.g. summary statistics, graphs, t-tests, correlations).
  • Good time management skills.
  • Good written and oral communication skills.
  • Ability to work on multiple projects and prioritize tasks.
  • Ability to partner with transdisciplinary teams.
Belonging Statement

We believe that all people should feel welcomed, valued and supported.

QUALIFICATIONS

  • EDUCATION - Bachelor's
  • EXPERIENCE - 2 Years of Experience
Employment Type: FULL_TIME

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