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Statistical Engineering Jobs in Canton, MA (NOW HIRING)

Parexel

Statistical Programmer II

Newton, MA · On-site

$115K - $132K/yr

Statistical Programmer II Duties: Parexel International LLC seeks a Statistical Programmer II reporting to headquarters in Newton, Massachusetts to conduct statistical programming. Use programming ...

Parexel

Statistical Programmer II

Newton, MA · On-site +1

$115K - $132K/yr

Statistical Programmer II Duties: Parexel International LLC seeks a Statistical Programmer II reporting to headquarters in Newton, Massachusetts to conduct statistical programming. Use programming ...

Parexel

Statistical Programmer II

Newton, MA · On-site

$115K - $132K/yr

Statistical Programmer II Duties: Parexel International LLC seeks a Statistical Programmer II reporting to headquarters in Newton, Massachusetts to conduct statistical programming. Use programming ...

Servier

Sr. Manager, Statistical Programming

Boston, MA · On-site

$151K - $172K/yr

Masters in Statistics, Engineering, or relevant field required with at least 5 years of experience in statistical programming or biostatistics in the Pharmaceutical/Biotechnology industry. Clinical ...

Biogen

Sr. Analyst, Statistical Programming

Cambridge, MA · On-site

$100K - $130K/yr

About this role The Senior Analyst, Statistical Programming leads and oversees statistical programming activities both internally and externally through vendors in the application of data standards ...

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Statistical Engineering information

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 Canton, MA? For Statistical Engineering jobs in Canton, MA, the most frequently searched job titles are:
What cities near Canton, MA are hiring for Statistical Engineering jobs? Cities near Canton, MA with the most Statistical Engineering job openings:
Statistical Engineering jobs near you
Associate Director, Statistical Programmer

Associate Director, Statistical Programmer

Beam Therapeutics

Cambridge, MA • On-site

Other

Posted 24 days ago

Job description

Position Overview:

Beam is looking for a Senior Manager/Associate Director of statistical programming to join our growing Statistical Programming team in the Biometrics department. This individual will be responsible for developing and maintaining statistical programming functions within a therapeutic area to support various clinical studies and submissions to ensure successful execution for Beam's clinical programs. In this role, you will work with the head of statistical programming and the head of biometrics to develop statistical programming strategies, SAS programming infrastructure as well as department standards, applications and processes. You will manage CROs, oversee programming activities and provide timely support to the cross-functional teams on statistical programming matters according to the project strategies and requests.

Responsibilities:

  • Lead and manage statistical programming activities on clinical studies and oversee CROs to generate analysis data sets and tables, listings and figures needed for clinical study reports and regulatory submissions.
  • Review and validate SDTM, ADaM analysis datasets and TFLs created by CROs.
  • Work collaboratively and communicate effectively with Biostatistics, Data Management, clinical operations, clinical development, Regulatory and other functions.
  • Manage creating CDSIC SDTM and ADaM datasets, analysis metadata results and Define.xml for Electronic Submission from the clinical database or external data sources.
  • Manage the activities of data summary, statistical analysis, patient profile, safety and efficacy tables, listings and figures using Base SAS, SAS Macros, SAS/STAT, SAS/Graph, SAS/SQL, SAS/ODS and R.
  • Oversee and manage the workflow of generating study specific and ad-hoc clinical data listings, summary tables and figures.
  • Partner with Statisticians and other members of the clinical study team, perform ad hoc analysis.
  • Review SAP, DMP, CRF, annotated CRF, TFL specifications and other relevant documents by CROs and provide expert feedback from functional perspective.
  • Assist the Head of Statistical Programming in reviewing bid proposals, monitoring and tracking budgets for outsourced activities.
  • Assist the Head of Statistical Programming to develop and implement programming processes, programming standards and SOPs.
  • Develop SAS programming infrastructure and programming processes to improve data deliverables and ad hoc analyses quality and efficiency.
  • Build and mentor a team of programmers as needed to support Beam clinical trials and drug development pipelines.

Qualifications:

  • MS or higher degree in Statistics, Mathematics, or related scientific Discipline.
  • At least 12 years Pharmaceutical/Biotech programming experience.
  • Advanced SAS programming skills and strong Statistical background along with experience with SAS Base, SAS/Macros, SAS/Graph and SAS/Stat.
  • Experience and in-depth knowledge in CDISC including STDM, ADaM and controlled terminologies.
  • NDA or BLA submission experience is required.
  • Excellent organizational skills and ability to prioritize tasks.
  • Excellent communication and interpersonal skills.
  • Experience managing CROs and other data vendors.
  • Knowledge of ICH guidelines, Good Clinical Practices, FDA / EMA / other regulatory authority guidance.
  • Experience with R-Shiny or Python is a plus.

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