1

Statistical Engineering Jobs in Chicago, IL (NOW HIRING)

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

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 ...

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 ...

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 ...

Showing results 21-40

Statistical Engineering information

See Chicago, IL salary details

$62.3K

$73.1K

$81.5K

How much do statistical engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for statistical engineering in Chicago, IL is $73,058.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,800.00 and $78,000.00 per year, depending on experience, location, and employer.

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 Chicago, IL? For Statistical Engineering jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Chicago, IL look for? The top searched job categories for Statistical Engineering jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Statistical Engineering jobs? Cities near Chicago, IL with the most Statistical Engineering job openings:
Infographic showing various Statistical Engineering job openings in Chicago, IL as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $73,058 per year, or $35.1 per hour.

Senior Research Statistician (Hybrid)

AbbVie

North Chicago, IL • On-site

$83K - $102K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


AbbVie rating

8.7

Company rating: 8.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

14th of 86 rated pharmaceutical


Job description

Company Description

About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Senior Research Statistician will provide statistical support to the research and development organization by partnering with study teams to monitor ongoing clinical trials and generate timely, data-driven insights. This role will focus on reviewing accumulating clinical trial data, evaluating predefined program criteria, conducting exploratory analyses, and supporting informed decision-making throughout study execution. 

Responsibilities: 

  • The statistician will work closely with study statisticians, programmers, and cross-functional stakeholders to assess study progress, identify emerging trends and risks, and provide analytical support that enhances trial oversight while maintaining scientific rigor. 
  • The statistician will also be expected to participate in standardized analysis modules development and agentic AI related development work
  • Contribute to design, analysis and reporting of clinical trials or other scientific research studies. Assist with development of protocols and/or statistical analysis plans with details for programming implementation. Work under supervision to implement sound statistical methodology in scientific investigations.
  • Assist in identifying scientifically appropriate data collection instruments. Identify and report data issues or violations of study assumptions. Provide programming specifications for derived variables and analysis datasets. Collaborate with Data Science in preparing for database lock.
  • With supervision perform statistical analyses as per the analysis plan. Collaborate with Statistical Programming to ensure the delivery of high-quality outputs according to agreed-upon timelines. Evaluate appropriateness of available software for planned analyses and assess needs for potential development of novel statistical methodology.
  • With supervision, develop strategy for data presentation and inference. Ensure appropriate interpretation of statistical deliverables in collaboration with other functions. Collaborate in publication of scientific research. Ensure accuracy and internal consistency of reports and publications, including tables, listings, and figures. Ensure the accuracy of the statistical component of scientific reports and/or publications with high quality.
  • Work collaboratively with cross-functional teams. Clearly explain statistical concepts to non-statisticians. Provide responses to questions and pursue analyses suggested by data under supervision. Support communications between assigned product team(s) and functional management. Build/drive cross-functional relationships and collaboration.
Qualifications

Minimum Requirements:

  • PhD in Statistics, Biostatistics, Data Science, Mathematics, Epidemiology, or a related quantitative field. 

  • Strong understanding of statistical methodologies and clinical trial data analysis. 

  • Experience with statistical programming in R

Preferred Qualifications:

  • SAS Experience is a plus

Other Required Skills:

  • Experience analyzing complex datasets and translating findings into actionable insights. 

  • Ability to conduct exploratory analyses, interim analyses, and data monitoring activities. 

  • Strong problem-solving and quantitative reasoning skills. 

  • Excellent written and verbal communication skills. 

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: 

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. 

  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.

  • This job is eligible to  participate in our short-term incentive programs.  

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company's sole and absolute discretion unless and until paid and may be  modified at the Company's sole and absolute discretion,  consistent with applicable law. 

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. 

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html


What AbbVie employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


AbbVie logo

About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013