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Statistical Programming Jobs in Pennsylvania (NOW HIRING)

Atorus Research

Sr R & SAS Programmer

Chesterbrook, PA ยท On-site

... Statistical programming work in accordance with corporate standard operating procedures (SOPs), GCP, 21 CFR and ICH guidance. RESPONSIBILITIES Program and validate derived datasets, tables, figures ...

Atorus Research

Principal Biostatistician

Malvern, PA ยท On-site

He/she will coordinate statistical and programming support and will manage contractors/CROs when necessary. He/she will also serve as lead statistician for clinical studies and work with the study ...

Ra

Marketing Analytics Manager

Pittsburgh, PA

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Philadelphia, PA

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

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All JobsStatistical Programming JobsStatistical Programming Jobs in Pennsylvania

Statistical Programming information

See Pennsylvania salary details

$84.7K

$147.6K

$249.6K

How much do statistical programming jobs pay per year?

As of Jul 15, 2026, the average yearly pay for statistical programming in Pennsylvania is $147,645.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $160,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by statistical programmers when collaborating with cross-functional teams in clinical research?

Statistical programmers in clinical research often work closely with biostatisticians, data managers, and clinical teams. A common challenge is ensuring clear communication regarding data requirements, analysis specifications, and timelines, as different teams may have varying priorities and technical backgrounds. Navigating frequent changes in study protocols or data standards can also require adaptability and strong project management skills. Building collaborative relationships and maintaining thorough documentation are key to overcoming these challenges and ensuring high-quality, reproducible results.

What is statistical programming?

Statistical programming involves using software tools and programming languages, such as R, SAS, or Python, to manage, analyze, and interpret large sets of data. Professionals in this field write code to perform statistical analyses, create data visualizations, and automate data processing tasks. Statistical programming is widely used in industries like pharmaceuticals, finance, public health, and research to support data-driven decision-making and ensure accurate results.

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 strong expertise in statistics, programming languages like SAS or R, and a background in mathematics or computer science. Familiarity with statistical software, clinical data management systems, and regulatory standards such as CDISC is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with cross-functional teams. These skills ensure accurate data analysis, regulatory compliance, and successful project delivery in data-driven environments.

What is the difference between Statistical Programming vs Data Analysis?

AspectStatistical ProgrammingData Analysis
Primary FocusDeveloping and implementing statistical models and algorithmsInterpreting data to identify trends and insights
Skills & ToolsProgramming languages (SAS, R, Python), statistical methodsData visualization, descriptive statistics, Excel, SQL
Work EnvironmentPharmaceutical, biotech, or research settingsBusiness, marketing, healthcare sectors
CertificationsOften requires statistical or programming certificationsMay include data analysis or business analytics certifications

While both roles involve working with data, Statistical Programming primarily focuses on creating statistical models and algorithms using programming languages, often in research or clinical settings. Data Analysis emphasizes interpreting data to generate insights for decision-making across various industries. Understanding these differences helps professionals choose the right career path or job focus.

What are the most commonly searched types of Statistical Programming jobs in Pennsylvania? The most popular types of Statistical Programming jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Statistical Programming jobs? Cities in Pennsylvania with the most Statistical Programming job openings:
Statistical Programming jobs near you
Infographic showing various Statistical Programming job openings in Pennsylvania 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 $147,645 per year, or $71 per hour.