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Statistical Engineering Jobs in Skillman, NJ (NOW HIRING)

Artech Information System LLC

Statistician

Raritan, NJ · On-site

... and statistical programming specification. Experiences in worldwide submission, in particular, PMDA in Japan providing statistical analysis for ad hoc requests Strong statistical training, in ...

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Statistical Engineering information

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 Skillman, NJ?

For Statistical Engineering jobs in Skillman, NJ, the most frequently searched job titles are:

What cities near Skillman, NJ are hiring for Statistical Engineering jobs?

Cities near Skillman, NJ with the most Statistical Engineering job openings:

Statistical Engineering jobs near you

Mandarin-Speaking Senior Statistical Analyst

DeltaMed Solutions

Somerset, NJ • Remote

$110K - $120K/yr

Full-time

Re-posted 13 days ago

Job description

The job of the Senior Statistical Analyst is to supervise and lead statistical programmers in the implementation and execution of the programming plan and activities in related clinical studies or projects. This position will also perform statistical programming using SAS and/or other statistical software packages to support statistical analysis of the clinical data and submission to regulatory agencies. 


ESSENTIAL DUTIES AND RESPONSIBILITIES 


  • Lead the communication with study/project statistician or client’s clinical team in terms of programming requests, requirements and time lines
  • Devise and implement administrative procedures for the collection of data
  • Provide guidance to statistical programmers in producing derived analysis datasets, tables, figures, and listings (TLFs) based on the Statistical Analysis Plan (SAP) of the clinical study using SAS
  • Produce figures using other statistical software such as S‐plus
  • Create SAS Macros to produce output efficiently as needed
  • Generate data definition tables (DDTs)
  • Have good knowledge of pharmaceutical industry data standards such as CDISC SDTM and ADaM and produce the derived analysis datasets to meet these data standards 
  • Have in depth understanding of regulatory, industry, and technology standards and requirements and follow the standards and requirements to produce the output
  • Develop forms and procedures required for the collection and compilation of data
  • Understand and follow DELTAMED internal or client programming standards
  • Explain statistical approaches to others who do not have the equivalent knowledge in statistical methods 
  • Review clinical study protocol, case report form (CRF), and SAP and understand the clinical study design
  • Communicate data, statistical, and/or programming issues with internal and external (client/sponsor) programmers, statisticians, and clinical team members 


ESSENTIAL KNOWLEDGE, SKILLS AND EXPERIENCE 

 

  • B.S. or M.S. in Statistics, Biostatistics, Mathematics, Computer Science, or other related fields 
  • 2-5+ years of experience in statistical SAS programming for the analysis of clinical data in pharmaceutical, biotech, or CRO environment 
  • In-depth knowledge of pharmaceutical industry data standards such as CDISC, SDTM, and ADaM
  • General understanding of regulatory, industry, and technology standards and requirements
  • Excellent communication and writing skills and ability to work in a team environment