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Manager Statistical Programming Jobs in Lancaster, PA

Quality Engineer

Yocumtown, PA · On-site

$69K - $89K/yr

... Statistical Process Control. RESPONSIBILITIES: * Act as a team member to manage projects to assess quality aspects, report process feasibility & risks and make quality recommendations on how to ...

Development Quality Engineer

Yocumtown, PA · On-site

$69K - $89K/yr

... Statistical Process Control. RESPONSIBILITIES: * Act as a team member to manage projects to assess quality aspects, report process feasibility & risks and make quality recommendations on how to ...

Partner with Operations, Engineering, and Supply Chain * Promote a culture of accountability ... Proficient in Cause Mapping, root cause analysis, FMEA, statistical process control, validation ...

Plant Quality Manager

New Holland, PA · On-site

$120K - $160K/yr

Collects and analyzes statistical data from processes to either confirm compliance with established ... Bachelor's degree in Engineering or other technical discipline. * A minimum of 8 years of quality ...

Partner with Operations, Engineering, and Supply Chain * Promote a culture of accountability ... Proficient in Cause Mapping, root cause analysis, FMEA, statistical process control, validation ...

Showing results 21-40

Manager Statistical Programming information

See Lancaster, PA salary details

$82.1K

$143.1K

$242K

How much do manager statistical programming jobs pay per year?

As of Aug 11, 2026, the average yearly pay for manager statistical programming in Lancaster, PA is $143,144.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $155,500.00 per year, depending on experience, location, and employer.

What is a manager statistical programming?

A Manager Statistical Programming oversees a team of statistical programmers who support clinical trials and research by developing, validating, and maintaining statistical programs. They ensure compliance with regulatory requirements, manage project timelines, and collaborate with statisticians, data managers, and other stakeholders. This role requires strong programming skills in SAS or other statistical software, leadership abilities, and expertise in clinical data standards such as CDISC.

What are the typical daily responsibilities of a manager statistical programming?

As a Manager Statistical Programming, your daily responsibilities usually include overseeing a team of statistical programmers, coordinating the development and validation of statistical programs for clinical trial data analysis, and ensuring deliverables meet regulatory and company quality standards. You will often interact with biostatisticians, data managers, and clinical teams to align programming outputs with study goals. Additionally, you may review project timelines, allocate resources, mentor junior programmers, and contribute to process improvement initiatives. This multifaceted role requires balancing technical oversight with leadership and interdepartmental communication.

What are the key skills and qualifications needed to thrive in the manager statistical programming position, and why are they important?

To excel as a Manager Statistical Programming, you need a solid background in statistics, programming (such as SAS, R, or Python), and experience with clinical trial data management, often supported by a degree in statistics, mathematics, or a related field. Familiarity with regulatory guidelines (e.g., FDA, ICH), data standards such as CDISC, and certifications in relevant programming languages or clinical data processes are highly beneficial. Strong leadership, project management, and effective communication skills are essential for guiding teams and collaborating with cross-functional departments. These skills enable the manager to deliver high-quality statistical programming deliverables, ensure regulatory compliance, and drive team performance in a deadline-driven environment.

What are the most commonly searched types of Statistical Programming jobs in Lancaster, PA? The most popular types of Statistical Programming jobs in Lancaster, PA are:
What are popular job titles related to Manager Statistical Programming jobs in Lancaster, PA? For Manager Statistical Programming jobs in Lancaster, PA, the most frequently searched job titles are:
What job categories do people searching Manager Statistical Programming jobs in Lancaster, PA look for? The top searched job categories for Manager Statistical Programming jobs in Lancaster, PA are:
What cities near Lancaster, PA are hiring for Manager Statistical Programming jobs? Cities near Lancaster, PA with the most Manager Statistical Programming job openings:
Infographic showing various Manager Statistical Programming job openings in Lancaster, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $143,144 per year, or $68.8 per hour.

Continuous Improvement Engineer (York)

Oldcastle BuildingEnvelope

York, PA • On-site

$77K - $103K/yr

Full-time

Re-posted 6 days ago


Oldcastle BuildingEnvelope rating

7.2

Company rating: 7.2 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

351st of 538 rated manufacturers


Job description

What You'll Get to Do

The Continuous Improvement Engineer is a key member of the Operational Excellence team, focused on stabilizing and advancing manufacturing processes across the business. This role partners cross-functionally to design, implement, and sustain operating systems that improve cost, quality, and delivery performance.

Leveraging Lean, Six Sigma, and Good Manufacturing Practices (GMP), you will lead the development of standardized processes, enhance supplier and customer value streams, and drive consistency across operations. You will play an active role in embedding Toyota Production System principles moving the organization from foundational understanding to effective, sustained application.

Reporting to the Manager of Operational Excellence, this position works alongside a team of operational experts to translate complex challenges into structured, scalable solutions that strengthen overall business performance.

Key Responsibilities

  • Lead value stream mapping, time studies, and Kaizen events to identify inefficiencies and drive measurable improvements in cost, quality, and delivery performance.
  • Develop and implement standardized processes and documentation, including Standard Work, Process Flow Diagrams (PFD), PFMEA, Control Plans, and Job Element Sheets, ensuring consistency, scalability, and compliance.
  • Apply structured problem-solving methodologies (A3, 5-Why, cause-and-effect analysis, logic trees) to diagnose root causes and implement sustainable countermeasures for complex operational challenges.
  • Support New Product Introduction (NPI) by ensuring process readiness, validation, and alignment with manufacturing capabilities, including development of quality systems and documentation.
  • Design and execute testing and validation plans, including gauge studies, reliability and repeatability testing, and statistical analysis, ensuring process capability and product quality.
  • Utilize data-driven performance management to monitor results, validate improvements, and sustain operational gains across manufacturing systems.
  • Develop and manage training systems and documentation to build workforce capability, reinforce standardization, and ensure compliance across operations.
  • Support capital investment initiatives, including preparation of AFE (Authorization for Expenditure) documentation to justify process improvements and operational enhancements.
  • Conduct and publish operational audits, identify performance gaps, and lead follow-up actions to resolve inconsistencies and quality concerns.
  • Integrate voice of the customer insights into improvement initiatives, aligning operational performance with customer expectations and value delivery.
What We Are Looking For
  • Bachelor's degree in a technical discipline (e.g., Industrial/Manufacturing Engineering, Mathematics, Statistics, or related field).
  • Preferred certifications: Lean Six Sigma (Green/Black Belt), Certified Quality Engineer (CQE), or Certified Manufacturing Engineer (CMfgE).
  • Demonstrated success in process development and improvement, with a proven ability to navigate complex challenges and deliver measurable operational outcomes.
  • Working experience within structured quality and operating systems (e.g., Toyota Production System, ISO, ASQ frameworks), with a solid understanding of performance-driven environments.
  • Strong foundation in manufacturing processes, including the ability to interpret technical drawings, specifications, and production standards, with practical, hands-on understanding of how processes operate and scale.
  • Applied knowledge of Good Manufacturing Practices (GMP) and their role in ensuring product quality, consistency, and compliance.

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