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Statistical Engineering Jobs in Rhode Island (NOW HIRING)

micro1 AI

Director of Biostatistics

Providence, RI · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Brownhealth

Research Assistant

Providence, RI · On-site

$41K - $68K/yr

The Research Assistant supports laboratory-based brain tumor research within the Department of Neurosurgery by conducting statistical programming, multi-omics and epigenetic data analysis ...

MRINetwork Jobs

Process Engineer

Providence, RI · On-site

This role applies engineering principles, statistical methods, and process development expertise to optimize product quality, ensure regulatory compliance, and drive continuous improvement from ...

MRINetwork Jobs

Process Engineer

Providence, RI · On-site

This role applies engineering principles, statistical methods, and process development expertise to optimize product quality, ensure regulatory compliance, and drive continuous improvement from ...

MRINetwork Jobs

Process Engineer

Providence, RI · On-site

This role applies engineering principles, statistical methods, and process development expertise to optimize product quality, ensure regulatory compliance, and drive continuous improvement from ...

MRINetwork Jobs

Process Engineer

Providence, RI · On-site

This role applies engineering principles, statistical methods, and process development expertise to optimize product quality, ensure regulatory compliance, and drive continuous improvement from ...

rogersco

Process Engineer

Narragansett, RI

Summary: This role is responsible for providing day-to-day engineering support for manufacturing ... statistical analysis, designed experiments and procedural changes. * Works with customers on ...

Honeywell

Quality Engineering Manager

Woonsocket, RI · On-site

As a Quality Engineering Manager here at Honeywell, you will help shape our unwavering commitment ... Knowledge of statistical analysis tools and techniques to strengthen data-driven quality and ...

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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 Rhode Island?

For Statistical Engineering jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Statistical Engineering jobs in Rhode Island look for?

The top searched job categories for Statistical Engineering jobs in Rhode Island are:

What cities in Rhode Island are hiring for Statistical Engineering jobs?

Cities in Rhode Island with the most Statistical Engineering job openings:

Statistical Engineering jobs near you
Infographic showing various Statistical Engineering job openings in Rhode Island as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, 5% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Director of Biostatistics

micro1 AI

Providence, RI • Remote

$60 - $65/hr

Part-time

Posted 13 days ago

Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs).
  2. Apply expert judgment to assess the correctness and consistency of reported estimates, confidence intervals, p-values, analysis populations, and missing data handling in alignment with the statistical analysis plan (SAP).
  3. Identify discrepancies between statistical outputs and their narrative descriptions in clinical study reports (CSR), including subtle errors in population definitions, censoring rules, or multiplicity handling.
  4. Establish defensible ground truth for each evaluation task, documenting the derivation process to enable independent verification.
  5. Provide structured written rationales distinguishing true statistical errors from acceptable methodological alternatives, employing clear and concise communication.
  6. Collaborate with a multidisciplinary project team, providing statistical insights and feedback as needed to refine evaluation tasks and criteria.


Preferred Qualifications

  1. 5+ years as a biostatistician supporting clinical trials at a sponsor, CRO, or academic trials unit.
  2. Hands-on experience producing or quality controlling TFLs for regulatory submissions and working directly from CDISC SDTM/ADaM datasets.
  3. Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies under ICH E9(R1).
  4. Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications.
  5. Ability to interpret SAPs and ensure reported results are consistent with pre-specified analyses.
  6. Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.
  7. Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI-assisted statistical review tools.

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