ZipRecruiter

Log In

1

Clinical Data Associate Jobs in Minnesota (NOW HIRING)

Abbott

Associate Clinical Data Manager

Maple Grove, MN · On-site

The Associate Clinical Data Manager is responsible for performing data management tasks within defined established processes throughout the life cycle of the study including startup, conduct and ...

Abbott

Associate Clinical Data Manager

Maple Grove, MN · On-site

The Associate Clinical Data Manager is responsible for performing data management tasks within defined established processes throughout the life cycle of the study including startup, conduct and ...

next page

Showing results 1-20

All JobsClinical Data Associate JobsClinical Data Associate Jobs in Minnesota

Clinical Data Associate information

See Minnesota salary details

$13

$38

$84

How much do clinical data associate jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for clinical data associate in Minnesota is $38.15, according to ZipRecruiter salary data. Most workers in this role earn between $28.70 and $38.12 per hour, depending on experience, location, and employer.

What does a clinical data associate do?

A Clinical Data Associate is responsible for collecting, validating, and managing clinical trial data to ensure its accuracy, completeness, and compliance with regulatory standards. They work closely with clinical research teams to monitor data quality, resolve discrepancies, and prepare data for analysis. Their work is essential in supporting drug development and regulatory submissions by ensuring reliable and high-quality clinical data.

What does a clinical data associate do?

A clinical data associate is responsible for tracking data and results in a research study. As a clinical data associate, your job duties are to collect data, perform data management, and input data into any software used by your team. You work on a research team, so you must be able to work collaboratively and have excellent organizational skills. While you spend most of your time in an office, you may be required to work in the field to record data. The only universal qualifications needed for this career are a background in health care or medical science research and experience with data management software like Oracle Clinical, Microsoft Excel, and SPSS.

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

To thrive as a Clinical Data Associate, you need a solid understanding of clinical research, data management principles, and attention to detail, often supported by a degree in life sciences or a related field. Familiarity with clinical data management systems (CDMS), electronic data capture (EDC) tools, and knowledge of regulatory guidelines like GCP or CDISC is typically required. Strong organizational skills, analytical thinking, and clear communication set outstanding candidates apart in this role. These skills ensure the accuracy, integrity, and compliance of clinical trial data, which are crucial for successful research outcomes and regulatory approval.

What are some common challenges faced by clinical data associates when ensuring data quality during clinical trials?

Clinical Data Associates often encounter challenges such as identifying and resolving discrepancies in large datasets, maintaining strict compliance with regulatory standards, and coordinating timely data entry from multiple sites. They must work closely with clinical research teams and data managers to clarify ambiguous data and implement data cleaning procedures. Staying organized and detail-oriented is essential to ensure data accuracy and the successful progression of clinical trials.

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

AspectClinical Data AssociateClinical Research Coordinator
Primary RoleManage and ensure accuracy of clinical trial dataOversee trial operations, patient recruitment, and site management
CredentialsBachelor's in life sciences or related field; familiarity with data managementBachelor's in health sciences or related field; clinical trial experience
Work EnvironmentData management teams, clinical trial databasesClinical sites, hospitals, research facilities
Industry UsagePharmaceutical companies, CROs, biotech firmsHospitals, research institutions, clinical trial sites

While both roles support clinical trials, a Clinical Data Associate primarily focuses on managing and validating trial data, ensuring accuracy and compliance. In contrast, a Clinical Research Coordinator handles the overall trial operations, including patient recruitment and site coordination. Both roles require relevant certifications and work within the clinical research industry, but their daily responsibilities differ significantly.

More about Clinical Data Associate jobs

What are the most commonly searched types of Clinical Data jobs in Minnesota?

The most popular types of Clinical Data jobs in Minnesota are:

What are popular job titles related to Clinical Data Associate jobs in Minnesota?

For Clinical Data Associate jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Clinical Data Associate jobs in Minnesota look for?

The top searched job categories for Clinical Data Associate jobs in Minnesota are:

What cities in Minnesota are hiring for Clinical Data Associate jobs?

Cities in Minnesota with the most Clinical Data Associate job openings:

Clinical Data Associate jobs near you
Infographic showing various Clinical Data Associate job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $79,352 per year, or $38.1 per hour.

Associate Clinical Data Manager (CDM)

Arnex Solutions LLC

Maple Grove, MN • On-site

Other

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

Job description

Associate Clinical Data Management
Maplegrove - MN
Role Summary    

The Associate Clinical Data Manager supports the planning and execution of clinical study data management activities. Under the direction of a manager, this role leads cross-functional teams through case report form development, database setup, data review, and data cleaning processes to ensure the integrity and quality of clinical study data throughout the lifecycle of an investigation.

Key Responsibilities    

•       Leads cross-functional teams during protocol development to identify and document data critical to the reliability of study results and protection of human subjects.

•       Manages the development and revision of case report forms (CRF), edit checks, data listings, and clinical database setup.

•       Identifies and evaluates residual risks to critical study data; oversees development of additional mitigations including focused data cleaning, quality activities, and targeted site instructions.

•       Leads the Clinical Project Team through CRF development and partners with the Study Database Manager through database development, release, programming, and testing of edit checks.

•       Conducts review and analysis of subject data as it accumulates, resolving discrepant or aberrant data points via queries to study sites.

•       Identifies systemic or significant data quality issues requiring escalation; manages escalation in partnership with Project Management, Site Management, Clinical Science, Biometrics, and Safety.

•       Manages progress toward data cleaning and data freeze/lock targets for regulatory submission.

•       Manages issuance and resolution of discrepancies over the study lifecycle, including root cause analysis and development of system-level countermeasures and process improvements.

•       Leads proactive partnership with field and study team personnel, presenting findings from central monitoring and data review activities.

•       Assists in ongoing risk evaluation through in-depth review of protocol and plan documentation, validation of risk findings, and development of process-based controls.

•       Contributes to the maintenance of data review standards and best practices.

Required Qualifications    

•       Bachelor’s degree in Biology, Health Sciences, Mathematics, Computer Science, or equivalent field.

•       Minimum 5 years of experience in clinical operations or a healthcare-related field.

•       Knowledge of Good Clinical Practice (Google Cloud Platform) and global regulations for investigational studies.

•       Strong analytical and critical thinking skills with demonstrated data management experience.

•       Strong written and verbal communication skills; ability to lead discussions and manage complex regulated studies.

•       Ability to effectively influence cross-functional team decisions.

Preferred Qualifications    

•       Certified Clinical Data Manager (CCDM) designation.

Apply