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Statistical Engineering Jobs in Philadelphia, PA

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Statistical Engineering information

See Philadelphia, PA salary details

$60.4K

$70.9K

$79.1K

How much do statistical engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for statistical engineering in Philadelphia, PA is $70,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $75,600.00 per year, depending on experience, location, and employer.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.

How does a statistical engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What are the key skills and qualifications needed to thrive as a statistical engineer, and why are they important?

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

What do statistical engineers do?

Statistical engineers develop and implement statistical models and methods to analyze complex data, often focusing on process improvement and quality control. They use tools like statistical software and programming languages such as R or Python and collaborate with data scientists and engineers to optimize systems and decision-making processes.

What are popular job titles related to Statistical Engineering jobs in Philadelphia, PA?

For Statistical Engineering jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Statistical Engineering jobs in Philadelphia, PA look for?

The top searched job categories for Statistical Engineering jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Statistical Engineering jobs?

Cities near Philadelphia, PA with the most Statistical Engineering job openings:

Statistical Engineering jobs near you
Infographic showing various Statistical Engineering job openings in Philadelphia, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $70,863 per year, or $34.1 per hour.

Senior Scientist, Statistical Programming

Merck & Co.

North Wales, PA • On-site

$75 - $100/hr

Other

Re-posted 15 days ago

Merck rating

8.0

Company rating: 8.0 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

43rd of 86 rated pharmaceutical

Job description

Responsibilities
  • Support statistical programming activities for clinical trial data analysis.
  • Develop SAS programs to create and validate analysis datasets (ADaM) and summaries (TFLs) in support of Clinical Study Reports and regulatory submissions (FDA, EMA, etc.).
  • Collaborate with biostatisticians, project leads, and other stakeholders to ensure project plans are executed efficiently with timely and high-quality deliverables.
  • Develop effective study and report programming and validation utilizing global CDISC, ICH, and Therapeutic Areas standards and following departmental SOPs and good programming practices.
  • Maintain and manage a project plan including resource forecasting; coordinate activities of a global programming team; participate in departmental strategic initiative teams.
Requirements
  • Master's degree or equivalent in Computer Science, Statistics, Applied Mathematics, Biomedical Engineering, or a closely related field and 3 years of experience in the position offered or a related role; OR a Bachelor's degree or equivalent in Computer Science, Statistics, Applied Mathematics, Biomedical Engineering, or a closely related field and 5 years of experience in the position offered or a related role.
  • Must have 3 years of experience with all the following:
    • Developing analysis and reporting deliverables for Phase 2 and 3 clinical trials, including creation of analysis datasets, tables, graphics, and listings, for planned and unplanned analyses.
    • SAS programming in a clinical trial environment including data step and procedures, macros, graphics, ODS.
    • Interpreting and executing on clinical trial statistical analysis plans.
    • Utilizing CDISC standards to create ADaM and SDTM datasets.
    • Designing and developing complex programming algorithms.
    • Ensuring process compliance and deliverable quality.
US and Puerto Rico Residents Only

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.

San Francisco Residents Only

We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance.

Los Angeles Residents Only

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.

Employee Status

Regular

Relocation

No relocation

VISA Sponsorship

No

Travel Requirements

No Travel Required

Flexible Work Arrangements

Not Applicable

Shift

Not Indicated

Valid Driving License

No

Hazardous Material(s)

n/a

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Hours and flexibility

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