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Statistical Programming Jobs in Pennsylvania (NOW HIRING)

... 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 ...

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 ...

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

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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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:
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.

Statistical Analytical Programmer

Slipstream IT

Blue Bell, PA โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

At Slipstream, we work to streamline IT Support and provide managed solutions with a strategic consulting and global leadership management approach. Our solutions are designed exclusively for emerging pharma and biotech organizations. Slipstreamโ€™s industry-leading solutions free clients from the demands of internal IT and allow them to rapidly advance their mission. Led by a leadership team that has been together for over 10+ years, you will join a proven team, culture, and strategy to drive innovation within the IT outsourcing industry while developing your skillset with opportunities for internal growth.

Job Overview:

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 SAS programming experience and a practical understanding of observational research and epidemiologic methods to support regulatory and scientific projects.

Working closely with epidemiologists, biostatisticians, medical writers, and regulatory partners, this role helps deliver transparent, reproducible analyses that support publications, value evidence, and regulatory decision-making.

Responsibilities and Duties:

  • Analyze real-world datasets to support epidemiologic, scientific, and regulatory projects.
  • Build, validate, and maintain SAS programs for analysis datasets and study outputs.
  • Transform raw real-world data sourcesโ€”including EMR, EHR, claims, and registriesโ€”into accurate, traceable, analysis-ready datasets.
  • Perform quality control and peer review to ensure programming deliverables are accurate and aligned with study plans and SOPs.
  • Document programming decisions and dataset derivations to support reproducibility and audit readiness.
  • Review and validate SAS code and outputs developed by other programmers.
  • Partner with cross-functional teams including epidemiology, biostatistics, medical writing, regulatory, and client stakeholders.
  • Follow internal SOPs, FDA RWE guidance, and other applicable regulatory standards.

Qualification:

  • Education: BS or MS in statistics, biostatistics, epidemiology, computer science, or a related quantitative field.
  • Experience: 5+ years of SAS programming experience in life sciences, ideally supporting observational research, epidemiologic studies, or regulatory projects using real-world data.
  • Special Skills: Strong understanding of real-world data structures, especially EMR- and EHR-based datasets, as well as claims and registry data. Experience supporting retrospective cohort, natural history, burden of illness, comparative effectiveness, and other epidemiologic study designs. Strong programming skills in SAS, with R experience beneficial for data analysis, programming, and statistical workflows. Strong documentation skills, including code annotation, traceability, and reproducibility. Experience with Veeva Vault or similar document management systems is a plus.
  • Personal Characteristics: Collaborative, detail-oriented, and comfortable working across epidemiology, biostatistics, medical writing, and regulatory teams. Able to work independently in a remote environment and manage timelines effectively.

Preferred Qualifications:

  • Experience with R for data analysis, programming, or statistical workflows is highly beneficial.
  • Experience working with Truveta data or similar EMR-based real-world data sources is highly beneficial.

Travel: 10% at the most

Benefits

  • 401k match
  • Comprehensive group health, dental, vision benefits
  • Life insurance/LTD
  • Discretionary PTO

Slipstream is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation or identity, national origin, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Slipstream IT makes hiring decisions based solely on qualifications, merit, and business needs at the time.

This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of the Employer