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Senior Statistical Programmer Jobs in Dallas, TX

Senior Analyst

Plano, TX · Remote

$50 - $52/hr

Senior Analyst - Workforce Analytics LOCATION Plano, Texas COMPENSATION & SCHEDULE * Pay: $50.00 ... Advanced experience with Power BI, Alteryx, SQL, and at least one statistical programming language ...

... statistical programming to work independently on most aspects of statistical analysis work, while receiving instruction and guidance in other aspects. What we are often looking for - Senior ...

... and statistical modeling to support clients in solving complex business problems. As a Senior ... Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science ...

Mid - Senior Level This is what you will do.. You will be using quantitative methods to assess the ... Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing ...

Mid - Senior Level This is what you will do.. You will be using quantitative methods to assess the ... Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing ...

Talent Analytics Sr Analyst (Location Flexible)

Dallas, TX · On-site

$87K - $115K/yr

As a Senior Analyst, you will not only handle technical analysis and data modeling but also shape ... Statistics, Engineering or similar from an accredited college/university (Required) * Master ...

New

As a Senior Associate, you will build meaningful client connections and learn how to manage and ... Statistics - Demonstrating proficiency in data engineering platforms like Databricks - Utilizing ...

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Showing results 1-20

Senior Statistical Programmer information

See Dallas, TX salary details

$81.6K

$127K

$165.8K

How much do senior statistical programmer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for senior statistical programmer in Dallas, TX is $126,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,900.00 and $146,500.00 per year, depending on experience, location, and employer.

What is a senior statistical programmer?

A Senior Statistical Programmer is responsible for developing, testing, and validating statistical programs used for clinical trial data analysis. They work primarily with statistical software like SAS to generate tables, listings, and figures (TLFs) for regulatory submissions and research studies. This role requires strong programming skills, knowledge of statistical methodologies, and an understanding of clinical trial processes. Senior Statistical Programmers also collaborate with statisticians, data managers, and regulatory teams to ensure data integrity and compliance with industry standards.

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

To thrive as a Senior Statistical Programmer, a strong background in statistical analysis, programming (often in SAS and R), and a relevant degree such as in statistics, mathematics, or computer science is essential. Experience with regulatory submission standards (like CDISC SDTM/ADaM), clinical trial software, and certifications such as SAS Certified Advanced Programmer are highly valued. Outstanding attention to detail, problem-solving abilities, and effective communication skills help individuals excel in this collaborative and deadline-driven role. These skills are crucial for ensuring accurate data analysis, regulatory compliance, and successful teamwork in high-stakes research environments.

What are the typical responsibilities and team dynamics for a senior statistical programmer?

As a Senior Statistical Programmer, you will typically be responsible for designing, developing, and validating statistical programs for clinical trial data analysis and reporting. You’ll work closely with biostatisticians, data managers, and clinical project teams to ensure data quality and regulatory compliance, often contributing to the creation of submission datasets and study reports. The role usually involves both independent work and active collaboration, with seasoned programmers frequently mentoring junior staff and participating in process improvement initiatives. This team-oriented structure offers exposure to a variety of projects and stakeholders, making it a dynamic environment ideal for those who enjoy both analytical tasks and cross-functional teamwork.

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:
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What job categories do people searching Senior Statistical Programmer jobs in Dallas, TX look for? The top searched job categories for Senior Statistical Programmer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Senior Statistical Programmer jobs? Cities near Dallas, TX with the most Senior Statistical Programmer job openings:
Infographic showing various Senior Statistical Programmer job openings in Dallas, TX as of July 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 63% In-person, 4% Hybrid, and 33% Remote job distribution, with an average salary of $126,966 per year, or $61 per hour.

Senior SAS/Python Model Validation and Modernization Developer

Dynamo Technologies LLC

Fort Worth, TX • On-site

Other

Posted 13 days ago


Job description

Job Description:

We are seeking a Senior SAS/Python Model Validation and Modernization Developer to join our team. The successful candidate will support statistical model validation, algorithm analysis, and modernization efforts focused on migrating legacy SAS applications and processes to Python-based solutions. This role will work closely with analysts, statisticians, data scientists, and business stakeholders to evaluate model performance, conduct what-if analyses, validate outputs, and ensure the accuracy and reliability of mission-critical analytical systems. Candidates with prior U.S. Census Bureau experience or an active/previous federal clearance are highly preferred.

Duties/ Responsibilities

  • Test, validate, and analyze statistical, predictive, and analytical models.
  • Evaluate model performance and assess the impact of parameter, assumption, and business-rule changes.
  • Conduct scenario analysis, sensitivity testing, and what-if simulations to determine model behavior.
  • Analyze algorithms, calculations, and methodologies to identify opportunities for optimization and improvement.
  • Review existing SAS applications, scripts, and macros and develop migration strategies to Python.
  • Convert SAS code, workflows, and analytical processes into maintainable Python solutions.
  • Compare and validate SAS and Python outputs to ensure functional equivalency and accuracy.
  • Develop automated testing frameworks and validation processes for migrated applications.
  • Perform data analysis and investigate anomalies, inconsistencies, and unexpected model behavior.
  • Create technical documentation, validation reports, migration plans, and process diagrams.
  • Collaborate with business stakeholders, statisticians, developers, and project teams to implement analytical solutions.
  • Support modernization initiatives and continuous improvement of analytical systems and processes.

Required Skills/Abilities

  • 4+ years of experience developing analytical solutions using SAS and Python.
  • Strong experience with SAS Base Programming, SAS Macros, and SAS analytical workflows.
  • Strong Python programming skills, including experience with Pandas, NumPy, and SQL.
  • Experience testing, validating, and analyzing statistical or predictive models.
  • Experience conducting model performance evaluations and impact analyses.
  • Experience migrating SAS applications, scripts, or workflows to Python.
  • Strong understanding of algorithms, data analysis, and quantitative methodologies.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong communication and documentation skills.
  • Ability to work independently and as part of a team.
  • Creative problem-solving with a strong visual and storytelling instinct.
  • Curiosity and experimentation with emerging technologies, particularly AI.
  • Strategic mindset with the ability to connect content to broader campaign goals.
  • Strong collaboration and communication skills.
  • Ability to balance speed, quality, and innovation.
  • U.S. Citizenship required.

Nice to Have Skills

  • Previous experience supporting the U.S. Census Bureau or other federal statistical agencies.
  • Active or previously held Census Bureau suitability determination, Public Trust, Secret Clearance, or equivalent federal clearance.
  • Experience with survey processing systems, demographic analysis, economic statistics, or federal statistical programs.
  • Experience with machine learning frameworks such as Scikit-Learn, XGBoost, or TensorFlow.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with Git, CI/CD pipelines, and containerized environments.
  • Experience with SAS Viya and modern analytics platforms.

Education and Experience:

  • Bachelors degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Technology, or related field.

Travel Requirement:

  • No travel requirement.

Clearance Requirement:

  • Ability to obtain a Public Trust clearance.

Dynamo is a full lifecycle digital transformation company providing best-in-class technology and mission support services to our clients. Dynamos mission is to lead the digital transformation industry and provide best-in-class solutions for our clients with a truly human touch.

We leverage industry leading practices to empower our clients, ultimately providing them with the necessary tools, knowledge, and information required to successfully achieve their strategic goals, while optimizing their operations.

Through our partnerships, boldness, and authenticity, Dynamo goes against the grain of a traditional government contracting company by providing top-caliber team members, delivering quality results, and always exceeding expectations.

Dynamo Technologies is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, disability, protected veteran status, age, or any other characteristic protected by law.