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Statistical Data Jobs in Illinois (NOW HIRING)

Statistical & Machine Learning modeling; Data Visualization & Dissemination; Analytics Engineering & Architecture; Business Intelligence and Strategy (BI Engineer, BI Developer, BI Analyst, Data ...

Statistical & Machine Learning modeling; Data Visualization & Dissemination; Analytics Engineering & Architecture; Business Intelligence and Strategy (BI Engineer, BI Developer, BI Analyst, Data ...

Data Scientist

Chicago, IL · On-site

$130 - $155/hr

You'll build advanced statistical and machine learning models, develop digital twins, and ... You'll work across diverse data environments (from small, high‑value R&D experiments to complex ...

Data Analysis Tutor

Wheaton, IL · Remote

$18 - $40/hr

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Data Analysis Tutor

Evanston, IL · Remote

$18 - $40/hr

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Statistical & Machine Learning modeling; Data Visualization & Dissemination; Analytics Engineering & Architecture; Business Intelligence and Strategy (BI Engineer, BI Developer, BI Analyst, Data ...

As Director of Data Science , you will lead the team responsible for Numerator's consumer panel ... You should be equally comfortable debating statistical methodology, mentoring a team, partnering ...

Data Analysis Tutor

Skokie, IL · Remote

$18 - $40/hr

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Showing results 41-60

Statistical Data information

What are the key skills and qualifications needed to thrive as a statistical data analyst, and why are they important?

To thrive as a Statistical Data Analyst, you need strong quantitative skills, expertise in statistics, and a relevant degree such as mathematics, statistics, or data science. Proficiency with tools like R, Python, SQL, and statistical software (e.g., SPSS, SAS) as well as data visualization platforms is typically required. Critical thinking, attention to detail, and effective communication skills help analysts interpret data accurately and share insights with stakeholders. These competencies ensure reliable data analysis, support evidence-based decisions, and drive organizational success.

What are some common challenges faced by professionals working in statistical data roles, and how can they be addressed?

Professionals in statistical data roles often encounter challenges such as managing large, complex datasets, ensuring data quality, and effectively communicating statistical findings to non-technical stakeholders. Dealing with incomplete or inconsistent data is common, and requires strong analytical and problem-solving skills to clean and validate information. Collaborating closely with cross-functional teams, staying updated on the latest statistical software, and developing clear data visualization skills can help address these challenges and enhance the impact of your work.

What is the difference between Statistical Data vs Data Analyst?

AspectStatistical DataData Analyst
Required CredentialsNone specific; often involves understanding data collectionBachelor's degree in statistics, data science, or related field
Work EnvironmentData collection, storage, and management environmentsAnalyzing data, creating reports, and visualizations
Industry UsageUsed across industries for data collection and storageApplied in business, finance, healthcare, and more for insights
Search & Comparison IntentUnderstanding raw data types and sourcesComparing roles focused on data analysis and interpretation

Statistical Data refers to raw or processed data used for analysis, while Data Analyst is a professional role that interprets and visualizes this data to support decision-making. Both are integral to data-driven industries but serve different functions within the data lifecycle.

What is a statistical data analyst?

Statistical data analysts are professionals who collect, process, and interpret quantitative data to help organizations make informed decisions. They use statistical techniques and software tools to analyze datasets, identify trends, and solve problems. Their work is crucial in fields such as business, healthcare, government, and research, where data-driven insights are essential. Statistical data analysts often present their findings in reports or visualizations to guide strategic planning.

What cities in Illinois are hiring for Statistical Data jobs?

Cities in Illinois with the most Statistical Data job openings:

Infographic showing various Statistical Data job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Associate Director - Data Standards (Hybrid)

AbbVie

North Chicago, IL

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


AbbVie rating

8.6

Company rating: 8.6 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

16th 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

Lead, manage and develop a group of data standards experts to develop, implement and maintain end-to-end data standards from data collection to regulatory submission. Govern change control, publication and communication of new and updated data standards.

Responsibilities:

  • Responsible for compliance with applicable Corporate and Divisional Polices and procedures
  • Industry Standards - Maintains complete and in-depth understanding of all CDISC guidance documents and implementation guides as well as FDA guidance and regulation regarding electronic submission of data. Keeps abreast of industry trends in data mapping, data management, standards compliance methodologies, metadata management and data warehousing.
  • eCRF Design - Demonstrates extensive understanding of CDASH and SDTM standards and concepts. Able to critically review eCRF designs to ensure compatibility/conformance with CDASH/SDTM standards. Recognizes limitations if eCRF design and correct flaws proactively.
  • SDTM Conformance Mapping - Demonstrate extensive understanding of SDTM, Standard Terminology and common coding dictionaries. Reviews SDTM conformance mapping specifications and corrects flaws proactively. Provide input and CDISC expertise to cross-functional activities such as mapping of source data to SDTM.
  • CDISC Validation Tools - Demonstrates knowledge of rules for SDTM and the associated define.xml file or rules for ADaM and the associated define.xml file and able to appropriately interpret results from common validation tools. Executes validation tools and collaborates with other functions to resolve identified issues.
    Ensure any unresolved issues are appropriately documented (for example in the FDA's Data Reviewer's Guides)"
  • Metadata Repository - Responsible for managing libraries of CDISC-related metadata, terminology and related standards within the metadata repository. Provides governance oversight to Manager, Data Standards to ensure consistency in metadata.
  • Policies & Procedures - Assist in the development of data standards policies, procedures and practices.
  • Communication - Clearly communicates an understanding of clinical data standards concepts, clinical principles, and regulatory guidance and acts in accordance with those principles. Effectively presents data standards concepts and logical arguments to statistical programmers, statisticians, data scientists, clinical development and regulatory. Able to diplomatically and persuasively represent the interests of the Data Standards group in cross-functional initiatives.
  • Training & Mentoring - Be compliant with training requirements. Effectively mentor peers, Manager, Data Standards, Sr Data Standards Analysts and Data Standards Analysts with regard to data standards and functional operations. Train new Data Standards Analysts on process and systems related to the management and implementation of data standards.
  • CDISC involvement - Maintains external reputation of a clinical data standards expert. Ensures consolidated review comments from Data Standards group and Statistical Programming are provided for applicable CDISC standards released for public review. Submits at least one abstract per year for presentation at a CDISC Interchange.
Qualifications

Minimum Qualifications:

  • Bachelors of Science
  • 12+ years of relevant clinical research experience (or 10+ years with a Masters)
  • Expert level of knowledge of at least 3 areas of clinical data standards, and high level of knowledge in at least one additional area. (Areas include CDASH, SDTM, ADaM, define.xml, controlled terminology and metadata management.)
  • Familiarity with other clinical data standards including BRIDG, ODM and SHARE
  • Experience in mapping and converting legacy data into SDTM domains for eCTD submissions. Minimum of two successful submissions of CDISC compliant data.
  • Knowledge of international regulations, requirements and guidance associated with clinical data standards and the preparation of data sets for regulatory submission.
  • Experience with metadata repository technology and its application in clinical data standards processes and experience with data standards governance
  • Experience in management of metadata to support efficient use of systems and processes
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 long-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


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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