1

Statistics Programmer Jobs in Texas (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 ...

SAS Statistician

Houston, TX · On-site

$95K/yr

You will be our in-house statistics expert. You love data, and you love answering questions with ... developer. You also don't just look at numbers and pass them on unexamined. You appreciate that ...

You will be our in-house statistics expert. You love data, and you love answering questions with ... developer. You also don't just look at numbers and pass them on unexamined. You appreciate that ...

Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling. * Machine Learning:

Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling. * Machine Learning:

... Programmer Analyst Location: Austin, TX ( Hybrid) Duration: Long Term Contract Job Duties: Plans ... results, statistical study of traffic patterns, or analyzing and developing specifications for ...

Bachelor's in Computer Science, Data Science, Statistics, Engineering, Physics, Applied Mathematics, or related quantitative field. * 3+ years of experience in machine learning, applied AI, or ...

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 ...

Statistical Analyst

Dallas, TX · On-site +1

$75K - $85K/yr

... statistics, public health, epidemiology, applied mathematics, or a related field * Minimum of 3 ... Python programming language * Cardiovascular Data Analysis * Experience working in a healthcare or ...

next page

Showing results 1-20

Statistics Programmer information

What are Statistics Programmers?

Statistics Programmers are professionals who specialize in writing code to analyze and manage data, often for clinical trials, research studies, or business analytics. They use statistical software like SAS, R, or Python to clean, organize, and interpret data, generating reports and visualizations to support decision-making. Their work is critical in ensuring that data-driven findings are accurate, reproducible, and comply with industry standards. Statistics Programmers often collaborate with statisticians, data managers, and researchers to deliver reliable results. They play a key role in translating complex data into actionable insights.

How do Statistics Programmers typically collaborate with biostatisticians and data managers in a clinical research setting?

Statistics Programmers frequently work closely with biostatisticians to understand statistical analysis plans and translate them into efficient programming code, often using SAS or R. They also coordinate with data managers to ensure data integrity, address discrepancies, and maintain consistency in datasets. This collaborative environment requires clear communication and adaptability, as project requirements and timelines can shift based on regulatory demands or study changes. Building strong relationships with these teams helps ensure high-quality deliverables and fosters professional growth.

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

To thrive as a Statistics Programmer, you need a strong background in statistics, programming (especially SAS or R), and data analysis, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software such as SAS, R, or Python, and familiarity with clinical data standards like CDISC, are highly valued, and certifications in these tools can be advantageous. Attention to detail, problem-solving skills, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure accurate data analysis, efficient reporting, and compliance with industry standards, which are vital for success in this role.

What is the difference between Statistics Programmer vs Data Analyst?

AspectStatistics ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related field; programming skillsBachelor's in Statistics, Data Science, or related field; analytical skills
Work EnvironmentClinical trials, research institutions, pharmaceutical companiesBusiness, marketing, finance, healthcare organizations
Employer & Industry UsageUsed in clinical research, biotech, pharmaUsed across various industries for data interpretation

While both roles involve data analysis, Statistics Programmers primarily focus on programming and analyzing data for research or clinical trials, whereas Data Analysts interpret data to inform business decisions. The roles often overlap in skills and tools but differ in application and industry focus.

What job categories do people searching Statistics Programmer jobs in Texas look for? The top searched job categories for Statistics Programmer jobs in Texas are:
What cities in Texas are hiring for Statistics Programmer jobs? Cities in Texas with the most Statistics Programmer job openings:
Infographic showing various Statistics Programmer job openings in Texas as of July 2026, with employment types broken down into 87% Full Time, 6% Part Time, 1% Temporary, 4% Contract, and 2% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

$74K/yr

Other

Posted 15 days ago


Job description

See duties from the agency on available duty locations.
OIG is organized into six operational units: the Immediate Office of the Inspector General, Office of the Counselor, Office of Audits and Evaluations, Office of Healthcare Inspections, Office of Investigations, and Office of Management and Administration. In addition to the Washington, DC, headquarters, OIG has offices located in more than 60 locations throughout the country.Qualifications:

You must meet the following requirements within 30 days of the closing date of this announcement

To be qualified for this position at the GS-11 level, you must have at least one year of specialized experience equivalent to the GS-09 level that has equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position. Specialized experience is defined as:
- Assisting in researching and compiling data for inspection, audit and investigation activities; AND
- Supporting data processing and analysis using analytic platforms and software; AND
- Contributing to the development of data briefing, dashboards, presentations based on data analysis, etc. OR
- Ph.D. or equivalent doctoral degree OR
-3 full years of progressively higher level graduate education leading to a Ph.D. or equivalent doctoral degree OR
-LL.M., if related OR
-A combination of experience and education. To combine education and experience, the total percentage of experience at the required grade level compared to the requirement, as well as the percentage of completed education compared to the requirement, must equal at least 100 percent. Only graduate level education in excess of the first 36 semester hours (54 quarter hours) may be used in meeting this requirement.

In addition to the above requirements, you must meet the following time-in-grade requirement, if applicable:
For the GS-11, you must have been at the GS-9 level for 52 weeks.
To be found well-qualified, and in addition to meeting specialized experience, the applicant must have documented the following experience: Having a solid and comprehensive understanding of the position. Can perform the required tasks efficiently and is proficient in applying the knowledge, skills, and abilities of the job.
If you are a displaced or surplus Federal employee (eligible for the Career Transition Assistance Plan(CTAP)/Interagency Career Transition Assistance Plan (ICTAP)) you must be rated as "well qualified" to receive special selection priority.
Time After Competitive Appointment: Candidates who are current Federal employees serving on a nontemporary competitive appointment must have served at least three months in that appointment.

Education:You must meet the minimum basic education and/or work experience requirements for Statistician positions in the Federal government. These basic requirements include:
A. Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing. OR
B. Combination of education and experience -- Courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
The education generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of EducationEmployment Type: OTHER