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Statistics Programmer Jobs in Texas (NOW HIRING)

MedReview

Data Scientist

Austin, TX · On-site

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:

MedReview

Data Scientist

Austin, TX · On-site +1

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:

Hirekeyz Inc

Developer/Programmer Analyst

Austin, TX · On-site

... 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 ...

American Heart Association

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 ...

American Heart Association

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 ...

Qorvo, Inc.

Staff Data Science Engineer

Richardson, TX · On-site

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

American Heart Association

Statistical Analyst

Dallas, TX · On-site

$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 ...

Take-Two Interactive

Data Engineer (Python/Spark)

Austin, TX · On-site

$113K - $136K/yr

... Statistics, Engineering, or similar. Preferred : • Experience integrating with 3rd party APIs is highly desirable. Company : Headquartered in New York City, Take-Two Interactive Software, Inc.

Cambium Learning Group

Psychometrician

Dallas, TX · On-site +1

Applies advanced knowledge of statistical procedures, psychometric methods and their applications and statistical programming (R and Python). Job Requirements: * Ph.D. in Statistics, Education ...

Augment

Principal Scientist, Data

Houston, TX

$80 - $83/hr

Build LLM-powered solutions using prompt engineering, fine-tuning, inference optimization, and agent-based architectures. Business Decision Support * Convert statistical and ML findings into ...

Zynga

Principle Software Engineer

Austin, TX · On-site

S. in Computer Science, Math, Statistics, Engineering, or other quantitative field (or equivalent experience) • Demonstrated proficiency with Python for data cleaning and data wrangling (pandas ...

Zynga

Principal Software Engineer

Austin, TX · On-site

$133K - $179K/yr

S. in Computer Science, Math, Statistics, Engineering, or other quantitative field (or equivalent experience) • Demonstrated proficiency with Python for data cleaning and data wrangling (pandas ...

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All JobsStatistics Programmer JobsStatistics Programmer Jobs in Texas

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 are popular job titles related to Statistics Programmer jobs in Texas? For Statistics Programmer jobs in Texas, the most frequently searched job titles are:
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:
Statistics Programmer jobs near you
Infographic showing various Statistics Programmer job openings in Texas as of June 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.
Data Scientist

Data Scientist

MedReview

Austin, TX • On-site

Full-time

Posted 4 days ago

Job description

Position Summary:
MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models. This position will sit in Austin, Texas. However, for the right fit, we may consider remote.
Responsibilities:
  • Problem Identification: Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
  • Data Collection & Preparation: Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.
  • Model Development: Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.
  • Exploratory Data Analysis (EDA): Analyze datasets to uncover hidden patterns, trends, and anomalies.
  • Communication & Visualization: Translate technical findings into "data stories" using tools like Tableau or Power BI to influence executive decisions.
Qualifications:
  • Master's degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)
  • 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: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.

Soft Skills: Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences. Experience working with global and remote teams

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