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Statistical Programmer Jobs in Philadelphia, PA (NOW HIRING)

MSD

Senior Statistical Programmer

North Wales, PA

The senior statistical programmer will gather and interpret user requirements for programming requests, retrieve required data, transform data into analysis/modeling datasets, and develop tables ...

Slipstream IT

Statistical Analytical Programmer

PA · On-site +1

The Statistical Analytical Programmer plays a key role in turning complex EMR-focused real-world data into clear, analysis-ready datasets and high-quality study outputs. This person will bring strong ...

Atorus Research

Sr R & SAS Programmer

Chesterbrook, PA · On-site

Sr SAS & R Programmer onsite in the Chesterbrook, PA area 3 days/week SUMMARY The contract Senior Statistical Programmer is a member of the Biometrics Department within the Research and Development ...

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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Philadelphia, PA

Statistical Programmer information

See Philadelphia, PA salary details

$85.3K

$148.6K

$251.3K

How much do statistical programmer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for statistical programmer in Philadelphia, PA is $148,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,100.00 and $161,500.00 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 Philadelphia, PA? The most popular types of Statistical Programmer jobs in Philadelphia, PA are:
What are popular job titles related to Statistical Programmer jobs in Philadelphia, PA? For Statistical Programmer jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer jobs in Philadelphia, PA look for? The top searched job categories for Statistical Programmer jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Statistical Programmer jobs? Cities near Philadelphia, PA with the most Statistical Programmer job openings:
Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Philadelphia, PA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $148,630 per year, or $71.5 per hour.

Statistical Programmer

KG Tiger

Plymouth Meeting, PA

Full-time

Re-posted 19 hours ago

Job description

Company Description

ABOUT THE COMPANY:

A design company that blends technology, creativity and engineering to help customers transform ideas into world-class products and solutions. The company addresses the communications, consumer products, defense, healthcare, media & entertainment, semiconductor and transportation sectors. This is supported by a network of design studios, development centers and offices worldwide. Key services include embedded product design, industrial design, animation & visual effects and systems integration

ABOUT KGTiger: 

A professional services consulting firm hired to directly source prospective candidates. The company's strategy of maintaining long-term relationships has created a success paradigm that nets great benefits for candidates and clients. Your confidentiality is totally respected. Resumes and other employment-related information are not shared with the client until we have secured your permission. Likewise, we may be asked to maintain client confidentiality.


Job Description


SAS and/or SQL programming experience
Experience working with Patient-level and/or medical claims-level data
Experience analyzing very large amounts of data
Technical skills/knowledge in one or more of the following: multivariate analysis, regression analysis and forecasting, sampling, data modeling, R programming, machine learning, SPSS
Excellent communication and interpersonal skills

Qualifications

Master's degree/Ph.D. in Statistics, Mathematics or related field with two to five years of experience OR a Bachelor's degree and 7 years of experience in operations research, market research, or applied statistics

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