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Statistical Programmer Jobs in Prosper, TX (NOW HIRING)

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 ...

360 IT Professionals

DATA ANALYST

Dallas, TX

Bachelor's degree in quantitative field (statistics, engineering, business analytics, computer science, information systems or related degree) Passionate about data analytics, strong strategic and ...

Cambium Learning Group

Senior Psychometrician

Dallas, TX · On-site +1

Applies advanced knowledge of statistical procedures, Psychometric methods and their applications and statistical programming (e.g., R). Job Requirements * Ph.D. in Statistics, Education Measurement ...

Pyramid Consulting, Inc

Data Scientist

Plano, TX · On-site

... one statistical programming language (R, SAS, and/or Python). • Strong quantitative skills. • Experience in applying advanced statistical or machine learning techniques. • Knowledge of ...

Capital One

Sr. Business Analyst - Auto

Plano, TX · On-site

$88K - $114K/yr

A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software ...

Tamus

Lead Data Analyst

Dallas, TX

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 ...

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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Prosper, TX

Statistical Programmer information

See Prosper, TX salary details

$77.4K

$134.9K

$228K

How much do statistical programmer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for statistical programmer in Prosper, TX is $134,888.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $146,500.00 per year, depending on experience, location, and employer.

What are statistical programmers?

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 is the average salary for a SAS programmer?

The average salary for a SAS programmer typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Skilled programmers with certifications and knowledge of data analysis tools may earn higher salaries, especially in healthcare, pharmaceuticals, or finance sectors.

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.

How hard is it to get a job at SAS?

Securing a statistical programmer position at SAS typically requires relevant experience with SAS software, programming skills, and a strong understanding of data analysis. Competition can be high, and candidates often need a bachelor's degree in a related field, along with certifications or demonstrated proficiency in statistical programming. Familiarity with industry standards and the ability to work in a team environment also improve chances of employment.

What does a statistical programmer do?

A statistical programmer develops and maintains code to analyze clinical trial data, often using programming languages like SAS, R, or Python. They prepare datasets, generate reports, and ensure data accuracy for regulatory submissions in the pharmaceutical and healthcare industries.

Is SAS programming in demand?

SAS programming is in high demand in industries such as pharmaceuticals, healthcare, and finance, where data analysis and regulatory compliance are critical. Skilled SAS programmers with knowledge of data management, statistical analysis, and certifications often find strong job opportunities and competitive salaries.

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.

More about Statistical Programmer jobs
What are the most commonly searched types of Statistical Programmer jobs in Prosper, TX? The most popular types of Statistical Programmer jobs in Prosper, TX are:
What are popular job titles related to Statistical Programmer jobs in Prosper, TX? For Statistical Programmer jobs in Prosper, TX, the most frequently searched job titles are:
What cities near Prosper, TX are hiring for Statistical Programmer jobs? Cities near Prosper, TX with the most Statistical Programmer job openings:
Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Prosper, TX as of July 2026, with employment types broken down into 78% Full Time, 14% Part Time, and 8% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $134,888 per year, or $64.8 per hour.
Quantitative Engineering, Liquidity Metrics Strats, Dallas, Vice President

Quantitative Engineering, Liquidity Metrics Strats, Dallas, Vice President

Goldman Sachs, Inc.

Dallas, TX • On-site

$178K - $229K/yr

Full-time

Posted 28 days ago

Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 149 rated banks

Job description


LIQUIDITY METRICS STRATS
Liquidity and Prime Risk Strats use their engineering and mathematical background to identify and measure risk and to implement quantitative and technical risk modelling solutions. Successful Strats are highly analytical, driven to own commercial outcomes, and communicate with precision and clarity. As a part of the team, you will work with our key business partners and understand financial markets to quantify the firm's liquidity risk. You will also focus on developing quantitative models & scalable architecture.
RESPONSIBILITIES
  • Develop, implement, and maintain quantitative measures of liquidity risk using advanced mathematical/statistical/engineering approaches
  • Perform quantitative analysis and facilitate understanding of a variety of financial instruments, including secured funding transactions, collateral firm and client inventory, and loans and commitments
  • Quantify and monitor measures of risk in different areas across the firm, such as prime brokerage, synthetic trading, and repo trading
  • Work alongside revenue generating functions and corporate treasury to implement the liquidity regulatory requirements
  • Communicate clearly complex mathematical concepts with internal and external stakeholders such as risk managers, senior management and regulators.
  • Updating and maintaining risk models along with business growth and risk environment changes
  • Developing and maintaining large scale risk infrastructures/systems in a compiled or scripting language

QUALIFICATIONS
  • At least 7 years of prior experience in the financial industry, preferably in Capital Markets, Risk or Treasury functions
  • Strong quantitative skills with an advanced degree in Mathematics, Physics, Engineering or other highly quantitative discipline
  • Strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python)
  • Strong written and verbal communication skills - ability to explain complex quantitative concepts to a non-technical audience
  • Strong analytical and problem solving skills using math, statistics, and programming
  • Demonstrated ability to learn technologies and apply
  • Familiarity with financial markets, financial assets and liquidity risk management practices is a plus

ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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