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Statistical Engineering Jobs in Dedham, MA (NOW HIRING)

Vrtx

Principal Statistical Programmer

Boston, MA · Remote

$149K - $223K/yr

The Principal Statistical Programmer works with management to delegate tasks appropriately, track progress, and provide expert technical support to team members. In addition, the Principal ...

AstraZeneca

Head of Statistical Programming

Boston, MA · On-site

Advanced degree in statistics, biostatistics, computer science, mathematics, engineering, or a related discipline. * Deep expertise with CDISC standards and modern statistical programming languages ...

Cytel

Senior Statistical Programmer FSP

Cambridge, MA · On-site +1

As a Senior Statistical Programmer you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are ...

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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 are popular job titles related to Statistical Engineering jobs in Dedham, MA?

For Statistical Engineering jobs in Dedham, MA, the most frequently searched job titles are:

What job categories do people searching Statistical Engineering jobs in Dedham, MA look for?

The top searched job categories for Statistical Engineering jobs in Dedham, MA are:

What cities near Dedham, MA are hiring for Statistical Engineering jobs?

Cities near Dedham, MA with the most Statistical Engineering job openings:

Statistical Engineering jobs near you

Clinical Statistical Programming Infrastructure Engineer (SAS/AWS)- BB

TechData Service Company LLC

Boston, MA • Remote

$70 - $130/hr

Full-time

Medical, Dental, Vision, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Statistical Programming Infrastructure Engineer (SAS/AWS) – 2 Openings (1 Sr./1 Jr.) – Remote - BBBR

Location: Remote

Position Summary

Client is seeking 2 Statistical Programming Infrastructure Engineers (1 Senior/1 Junior) to help design, build, and maintain the company's next-generation statistical programming infrastructure within AWS. This is a unique remote role combining SAS statistical programming expertise with cloud infrastructure engineering. The successful candidate will lead the migration of on-premise statistical programming environments into a secure, scalable AWS cloud platform while establishing best practices, automation, and governance for future clinical development initiatives.

This individual will partner with Biostatistics, Statistical Programming, IT Infrastructure, Data Management, and Clinical Development teams to create an enterprise-level statistical computing environment supporting research and clinical programs.

Responsibilities

  • Design, build, and administer enterprise statistical programming infrastructure within AWS.
  • Develop and maintain SAS programming environments supporting clinical and research initiatives.
  • Configure AWS servers, storage, networking, permissions, and security for statistical computing.
  • Build standardized directory structures, environments, user access, and shared services.
  • Develop and maintain SAS Macro libraries and utility macros used across programming teams.
  • Create automated deployment and maintenance processes for SAS applications and cloud resources.
  • Support migration of existing SAS applications, programs, and datasets into AWS.
  • Collaborate with IT to establish scalable, secure cloud architecture following GxP and regulatory requirements.
  • Implement infrastructure monitoring, backup, disaster recovery, and performance optimization.
  • Develop documentation, SOPs, and technical standards for cloud-based statistical programming environments.
  • Provide technical leadership and mentorship to programming and infrastructure team members.
  • Troubleshoot complex infrastructure, SAS, and cloud-related issues.
  • Support validation activities and ensure compliance with FDA, GCP, and 21 CFR Part 11 requirements.

Required Qualifications

  • Bachelor's degree in Computer Science, Statistics, Bioinformatics, Information Systems, or related field.
  • SAS programming experience in biotechnology, pharmaceutical, or clinical research environments.
  • Strong knowledge of Base SAS, SAS Macro programming, and utility macro development.
  • Experience administering statistical programming environments.
  • Hands-on experience with AWS infrastructure including:
    • EC2
    • S3
    • IAM
    • VPC
    • CloudWatch
    • Backup & Recovery
  • Experience building cloud infrastructure from the ground up.
  • Strong Linux or Windows Server administration experience.
  • Experience supporting regulated clinical environments.
  • Excellent scripting skills (PowerShell, Bash, or Python preferred).
  • Strong understanding of infrastructure security, user permissions, and access controls.

Preferred Qualifications

  • SAS Platform Administration experience.
  • Experience migrating statistical computing environments to AWS.
  • CDISC SDTM/ADaM familiarity.
  • Experience supporting Biostatistics or Statistical Programming departments.
  • Knowledge of Git, CI/CD pipelines, Terraform, or Infrastructure as Code.
  • Experience supporting GxP validated systems.
  • Knowledge of Seqera, Nextflow, or scientific computing platforms is a plus.

Desired Skills

  • SAS Programming
  • SAS Macro Development
  • Utility Macros
  • AWS Cloud Infrastructure
  • Infrastructure Administration
  • Linux Administration
  • Windows Server
  • Cloud Architecture
  • Automation
  • Clinical Data
  • Statistical Computing
  • Biotechnology
  • Pharmaceutical Industry
  • GCP
  • FDA Compliance
  • 21 CFR Part 11
  • Infrastructure Design
  • AWS Security
  • Cloud Migration
  • Documentation

Company Description

https://quantive.bio/