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Statistical Programming Jobs in Pennsylvania (NOW HIRING)

KG Tiger

Statistical Programmer

Plymouth Meeting, PA

SAS and/or SQL programming experience Experience working with Patient-level and/or medical claims ... D. in Statistics, Mathematics or related field with two to five years of experience OR a Bachelor ...

Atorus Research

Sr R & SAS Programmer

Chesterbrook, PA · 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 ...

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 Jun 12, 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 are popular job titles related to Statistical Programming jobs in Pennsylvania? For Statistical Programming jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Statistical Programming jobs in Pennsylvania look for? The top searched job categories for 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 June 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.

Associate Principal Scientist, Statistical Programming

Merck Sharp & Dohme LLC subsdiary of Merck & Co Inc.

North Wales, PA • On-site

$142K - $224K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Assoc. Principal Scientist, Statistical Programming–North Wales,PA: Prvd high qulty statstcl prgrmng anlysis & rprtng dlvrbls f/globl PK modlng & simultn stakhldrs in oncolgy therputc area. Reqd: Bachelor deg (or US equv) in Comp Sci, Statstcs, Appld Maths, Life Sci, Engg, Pharma Sci or rltd + 9yrs SAS prgrmng exp in clincl trial envrmnt OR Master deg (or US equv) in Comp Sci, Statstcs, Appld Math, Life Sci, Engg, Pharma Sci or rltd + 7yrs SAS prgrmng exp in clincl trial envrmnt.

Exprtse in SAS & clincl trial prgrmng incld datastps, prcdurs, SAS/MACRO, SAS/GRAPH; prgrmng exprts w/clincl endpoint data (eficacy & safty) phrmacokntc data (raw concntrtn data, dervd PK parmtrs). Dsgn & dvlp cmplx prgrmng algrthms; manpulte clincl trial datasts, cmplx data preprocsng, filtrng, manpultn; wrk in explratry envrmnt, hndl non-stndrd data in vriety of frmts w/minml reqs; knwldg of pharma dvlpmnt prcses; cmprhnd anlysis plans; statstcl or phrmackntc termnlgy & cncpts; implmnt statcl mthds; exp in dvlp anlysis & rprt dlvrbls f/R&D prjcts (data, anlyses, tbes, grphcs, lstngs); lead progrm lvl & engage stkhldrs. Salaryrnge:$142400-224100/yr.

Vst Merck Sharp & Dohme LLC careersite at www.merck.com/careers to submt CV f/JobReq: R395382. EOE. Merck Sharp & Dohme LLC subsdiary of Merck & Co Inc.

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