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Remote Clinical Data Coordinator Jobs in Addison, IL

Neiu

Clinical Experience Coordinator

Chicago, IL · On-site +1

$82K - $85K/yr

Gather data regarding student, faculty and facility satisfaction with clinical experiences based on ... Clinical Experience Coordinator is an on-campus position. ( Hybrid or remote work may be considered ...

Tempus AI

Senior Data Analyst

Chicago, IL · On-site +1

$90K - $125K/yr

What you'll do: * Develop clinical data models using dbt and SQL based on business need and ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Tempus

Senior Data Analyst

Chicago, IL · On-site +1

$90K - $125K/yr

What you'll do: * Develop clinical data models using dbt and SQL based on business need and ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

The University of Chicago

Protocol Coordinator

Chicago, IL · On-site +1

$60K - $85K/yr

The Alliance develops and conducts clinical trials with promising new cancer therapies and utilizes ... Obtains necessary approvals, including submission to the Alliance Data and Safety Monitoring Board ...

Tempus

Data Architect, Next Platform

Chicago, IL · On-site +1

$150K - $200K/yr

Educate engineering and clinical teams on data modeling standards, governance, and best practices ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

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Remote Clinical Data Coordinator information

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How much do remote clinical data coordinator jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote clinical data coordinator in Addison, IL is $29.70, according to ZipRecruiter salary data. Most workers in this role earn between $22.88 and $33.94 per hour, depending on experience, location, and employer.

What is a remote clinical data coordinator?

A Remote Clinical Data Coordinator is a professional who manages and organizes clinical trial data from a remote location rather than onsite at a research facility. Their responsibilities include collecting, reviewing, and ensuring the accuracy of clinical data, maintaining databases, and supporting compliance with regulatory standards. They play a crucial role in ensuring that clinical trial data is reliable and ready for analysis, which helps researchers draw meaningful conclusions about the effectiveness and safety of medical interventions. This role typically requires strong attention to detail, proficiency with data management systems, and knowledge of clinical research protocols.

What does a remote clinical data coordinator do?

As a remote clinical data coordinator, your responsibilities are to review, maintain, and organize documentation and information related to clinical care and confidential medical assessments for patients. This virtual role enables you to work from home or otherwise remotely to perform basic and advanced data management roles, typically reporting to a clinical data manager. Taking calls and responding to email correspondence, you interact with clients to help answer their questions. You also communicate with end users to determine how to improve data storage and access and ensure that privacy and security protocols are followed. Other duties include filling out and filing paperwork related to regulatory matters and gathering personnel data.

What are the key skills and qualifications needed to thrive as a remote clinical data coordinator, and why are they important?

To thrive as a Remote Clinical Data Coordinator, you need a solid background in clinical research, data management, and familiarity with regulatory guidelines such as GCP, often supported by a degree in life sciences or a related field. Proficiency with clinical trial management systems (CTMS), electronic data capture (EDC) platforms, and tools like Microsoft Excel or Medidata Rave is typically required. Attention to detail, strong organizational skills, and effective communication are standout soft skills for this remote role. These competencies are crucial for ensuring accurate data collection, regulatory compliance, and seamless collaboration across dispersed clinical trial teams.

How does a remote clinical data coordinator collaborate with onsite teams to ensure data accuracy and compliance?

As a Remote Clinical Data Coordinator, you will regularly communicate with clinical research sites, data managers, and investigators through video meetings, emails, and project management tools. Your main responsibility is to review and verify clinical trial data, flag discrepancies, and ensure that documentation meets regulatory standards. While remote, you will often be part of virtual team meetings and may coordinate data queries or follow-ups with onsite staff to resolve issues promptly. Strong communication and organizational skills are essential to maintain seamless collaboration and uphold data integrity standards.

What is the difference between Remote Clinical Data Coordinator vs Remote Clinical Research Associate?

AspectRemote Clinical Data CoordinatorRemote Clinical Research Associate
CertificationsTypically requires knowledge of data management and possibly CDISC standardsOften requires GCP certification and monitoring experience
Work EnvironmentPrimarily data entry, management, and quality control in clinical data systemsMonitoring clinical sites, ensuring protocol compliance remotely
Employer & Industry UsageUsed by biotech, pharma, and CROs focusing on data managementCommon in clinical trial monitoring for pharma and CROs

The Remote Clinical Data Coordinator focuses on managing and ensuring the quality of clinical data, while the Remote Clinical Research Associate primarily monitors clinical trial sites remotely. Both roles require knowledge of clinical protocols, but their core responsibilities differ in data handling versus site monitoring.

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Remote Clinical Data Coordinator jobs near you
Infographic showing various Remote Clinical Data Coordinator job openings in Addison, IL as of June 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $61,781 per year, or $29.7 per hour.

Clinical Data Analyst

Rush University Medical Center

Chicago, IL • On-site, Remote

$34.61 - $51.57/hr

Full-time

Posted 25 days ago

Rush University Medical Center rating

8.1

Company rating: 8.1 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

120th of 1,061 rated hospitals

Job description

Location: Chicago, Illinois

Business Unit: Rush Medical Center

Hospital: Rush University Medical Center

Department: Research Computing

Work Type: Full Time Remote (Total FTE between 0. 9 and 1. 0)

Shift: Shift 1

Work Schedule: 8 Hr (8:00:00 AM - 5:00:00 PM)

Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).

Pay Range: $34.61 - $51.57 per hour
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.

Summary:
The Analyst will support the research, clinical, quality improvement, and business data analysis needs of Rush University Medical Center. The Analyst will assist clinical faculty and Principal Investigators to identify and gather necessary data that span operational through research needs and will build databases to permit queries. The analyst will have a direct reporting relationship to the Knowledge Management Team, Medical Director, and Chief Analytics Officer, who are the subject matter experts in data access and research data requests. Exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures.

Other information:
Required Job Qualifications:
• Master's degree in information science, computer science, epidemiology, biostatistics, or equivalent technical experience.
• Strong analytic, issue resolution, and facilitation skills.
• Demonstrated proficiency writing SQL stored procedures or queries.
• Able to present complex information in an understandable and compelling manner.
• Able to prioritize and multi-task to manage expectations of multiple stakeholders.
• Able to deliver high quality, timely work product with significant autonomy.
• Effectively adapts to rapid changes in project or data requirements and changing directions.
• Strong written and verbal communication.
• Effective interpersonal and teamwork skills.
• Expertise with data and analytics tools.
• Experience querying and analyzing data with SQL programming language or equivalent tools.
Preferred Job Qualifications:
• At least three years of experience in statistical software (e.g. SAS or R), with data science experience.
• Some experience in the health care setting.
• Familiarity with healthcare industry or healthcare information systems.
• Experience with Epic.
• Experience with financial /claims data.

Responsibilities:
•Gather business/data requirements from clinical faculty and Principal Investigators and collaborate on the best way to design studies or to build study cohorts based on the Analyst's knowledge of available systems. Acts as interface between clinical experts and IT to determine feasibility, timelines, and cost of date requests.
•Uses third party software tools and research data warehouse in development of queries and visualizations. Creates research data marts using the enterprise IT architecture.
•Serves as representative for the KM Team on committees and initiatives that involve multi-site studies to facilitate IT and research informatics collaborations.
•Participates in analytics-based projects that leverage data collected from electronic medical records to measure and predict patient outcomes.
•Works with statisticians and mathematicians to design predictive models using statistical and machine learning methods that will predict patient outcomes.
•Develops analytic data sets for research and operations and uses statistical software (SAS or R) to analyze data sets as requested by departmental faculty.
•Produces reports that facilitate evidence-based clinical and financial decisions.
•Works with CRIO/CMIO/Knowledge Management team to develop new data queries and toolsets.
•Member of the IT business intelligence/knowledge management team at Rush. Maintains peer relationship and collaborative knowledge exchange with IT counterparts.

Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

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