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Statistical Engineering Jobs in Philadelphia, PA

MSD

Senior Statistical Programmer

North Wales, PA · On-site

BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 5-9 years SAS/R programming experience in a clinical trial environment * MS in Computer ...

CSL

Director, Statistical Programming

King Of Prussia, PA · On-site

$239K - $308K/yr

The Director, Statistical Programming provides leadership and expertise in driving the development and maintenance of the CSL statistical programming capabilities which is required to meet regulatory ...

KG Tiger

Statistical Programmer

Plymouth Meeting, PA

A design company that blends technology, creativity and engineering to help customers transform ... D. in Statistics, Mathematics or related field with two to five years of experience OR a Bachelor ...

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 ...

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All JobsStatistical Engineering JobsStatistical Engineering Jobs in Philadelphia, PA

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 Jul 31, 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 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.

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 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.
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 July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $70,863 per year, or $34.1 per hour.

Director, Statistical Programming

AstraZeneca

Wilmington, DE • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

20th of 86 rated pharmaceutical

Job description

This is what you will do:
The Director of Statistical Programming will be primarily responsible for overseeing statistical programming activities for multiple clinical studies within multiple Therapeutic Areas, maintaining programming infrastructure and ensuring compliance with SOPs to produce quality and timely deliverables. He/she must possess extensive experience and proven skills in the use of SAS within a Statistical Programming environment and complete knowledge and understanding of the statistical programming processes, procedures, and roles. He/she will use knowledge of CDISC SDTM and ADaM standards to support Biostatistics in statistical analysis, including generating analysis data listing, tables, and figures and create all files necessary to support an electronic submission in the eCTD format. Additionally, the successful candidate will use his/her strong people management skills and supervisory skills to provide direct line management to statistical programmers and external partners, identify training needs and opportunities for optimizing staff utilization and employing the most efficient practices. He/she must be able to identify project resource requirement needs and manage large external provider contract budgets. He/she may be responsible for the direct-line management of the statistical programmers through Associate Director level staff.
You will be responsible for:
  • Serve as the Lead Programmer and Manager of the statistical programming efforts for a compound / indication.

  • Develop and validate technical programming specifications for analysis datasets using Alexion or ADaM standards.

  • Independently develop and validate programs that generate analysis datasets based on Alexion or ADaM specifications.

  • Develop and validate technical programming specifications for protocol specific efficacy tables, listings, figures/graphs.

  • Independently develop and validate programs that generate protocol specific efficacy tables, listings, figures/graphs using Alexion specifications.

  • Ensuring that the filing of study documentation is maintained to the standard required according to processes and acceptable for audit.

  • Provide secondary reviews of Statistical Programming deliverables.

  • Directly support the Statistical Programming Sr. Director in all aspects of the management and development of the Statistical Programming team.

  • Participate in the ongoing review of the processes used by the Statistical Programming group to ensure processes are continually complied with and updated as necessary.

  • Create and/or review programming plans and ensure appropriate resource allocation and prioritization.

  • Act as the primary department contact, when necessary, to ensure that department standards are implemented in all studies.

  • Manage adherence to all company policies, SOPs, and other controlled documents; and ensure all programming activities adhere to departmental standards.

  • Assume direct line management responsibility of the statistical programmers, conducting performance reviews, setting and regularly reviewing objectives, providing guidance and mentoring, and developing and regularly reviewing training and career development plans.

  • Plan and manage department budget. Forecast quarter, annual, and 3-5 year budget. Participate in strategic development meetings across departments.

  • Evaluate, develop, revise, implement and ensure compliance to functional guidelines, policies, and SOPs.

  • Collaborate across all functional areas to ensure programming needs are met with specific regards to study data specifications, applications and computing environment support.

  • Collaborate closely with Biostatistics, Clinical Data Management, Pharmacovigilance, Clinical Operations, and other functions within Alexion to address their needs for programming support.

  • Collaborate closely with Preferred Vendor management in terms of governance, recruiting needs, contract development and signature, and any other partnership requirement that may arise.

  • Any other activities as required.

Any other activities as required.
The duties of this role are generally conducted in an office environment. As is typical of an office-based role, employees must be able, with or without an accommodation to: use a computer; engage in communications via phone, video, and electronic messaging; problem solve; engage in complex and non-linear thought, analysis, and dialogue; collaborate with others; maintain general availability during standard business hours.
You will need to have:
  • A bachelor's degree with a minimum of 10+ years statistical programming experience in the CRO or Pharmaceutical Industry.

  • 7+ years people and / or project management experience in the CRO or Pharmaceutical Industry.

  • Advanced SAS programming skills in a clinical and statistical data environment across multiple therapeutic areas.

  • Thorough understanding of relational databases and their correlation to submission ready database structure.

  • Strong project management skills and experience with scope management, resource management, financial management, project planning and resource allocation

  • Significant experience in a leadership capacity with a focus on identifying, leading and advancing talent.

  • Experience working in a clinical development organization with a heavy emphasis on support of multiple, ongoing projects

  • Thorough understanding of pharmaceutical clinical development (i.e. understanding of statistical concepts, techniques, and clinical trial principles) and ability to manage and lead regulatory submissions.

  • Thorough understanding of industry standards such as CDISC and 21CFR Part 11.

  • Strong ability to solve problems, recommend process improvements, and execute on process improvements.

  • Ability to lead and influence teams

  • Excellent verbal and written communication skills in a global environment.

  • Proven ability to work with cross functional teams, specifically Data Management, Biostatistics, Epidemiology, Clinical Operations, and Pharmacovigilance to initiate, lead and execute new initiatives and process improvements.

  • Recognize behaviors that align with our values critical to the success of our employees, mission, and business objectives.

We would prefer for you to have:
  • BS/MS/MA in Statistics, Biostatistics, Computer Science, Mathematics or related area.

  • Competencies

  • Accountability

  • Collaboration

  • Decision Quality

  • Drive for Results

  • Perseverance

  • Problem Solving

  • Informing

  • Peer Relationships

  • Time Management

  • Building Effective Teams

  • Managing Through Systems

The annual base pay (or hourly rate of compensation) for this position ranges from $165,095.20 - $247,642.80. Our positions offer eligibility for various incentives-an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.
Date Posted
27-Jul-2026
Closing Date
02-Aug-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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