1

Clinical Data Manager Jobs in Kansas (NOW HIRING)

Oversee the clinical aspects of timely data cleaning, data analysis and the availability of top ... Manage clinical trial budget and associated vendor contracts, including tracking and data in ...

Showing results 21-40

Clinical Data Manager information

See Kansas salary details

$17

$50

$73

How much do clinical data manager jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for clinical data manager in Kansas is $50.99, according to ZipRecruiter salary data. Most workers in this role earn between $40.29 and $60.67 per hour, depending on experience, location, and employer.

What does a clinical data manager do?

A Clinical Data Manager is responsible for collecting, validating, and managing data from clinical trials to ensure its accuracy, integrity, and compliance with regulatory standards. They design data collection systems, oversee database development, and collaborate with clinical research teams to resolve data discrepancies. By ensuring high-quality data, Clinical Data Managers play a vital role in the success of clinical trials and the development of new medical treatments.

What does a clinical data manager do?

A clinical data manager handles all the data needs of clinical trials for biotechnology and pharmaceutical companies. As a clinical data manager, your responsibilities include the research and storage of data related to clinical trials and programs. Your job duties are to collect, process, and analyze data. You must routinely evaluate your data collection and analysis processes to ensure that results are accurate and valid. You must also ensure that your work is in compliance with ethical research standards and regulations from organizations like the Food and Drug Administration (FDA).

What are the key skills and qualifications needed to thrive as a clinical data manager?

To thrive as a Clinical Data Manager, you need a solid understanding of clinical research processes, data management principles, and a degree in life sciences, computer science, or related fields. Expertise with clinical data management systems (CDMS), electronic data capture (EDC) tools, and familiarity with regulatory standards like CDISC and GCP are typically required. Attention to detail, problem-solving abilities, and effective communication distinguish top performers in this role. These skills ensure accurate, compliant data handling and seamless collaboration across clinical research teams, which are critical for successful clinical trial outcomes.

What are some common challenges clinical data managers face when working on multi-site clinical trials?

Clinical Data Managers often encounter challenges such as ensuring data consistency across different sites, managing large volumes of complex data, and coordinating with site staff to resolve discrepancies. They must also stay up-to-date with regulatory requirements and ensure timely data cleaning and database lock. Effective communication and strong organizational skills are essential to navigate these complexities and maintain high data quality throughout the study.

How much do clinical data managers make in the US?

Clinical data managers in the US typically earn between $70,000 and $110,000 annually, with salaries varying based on experience, education, and location. Entry-level positions may start around $60,000, while experienced professionals with specialized skills can earn over $120,000. Certifications in data management and proficiency with electronic data capture systems can also influence salary levels.

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

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

What are popular job titles related to Clinical Data Manager jobs in Kansas?

For Clinical Data Manager jobs in Kansas, the most frequently searched job titles are:

What cities in Kansas are hiring for Clinical Data Manager jobs?

Cities in Kansas with the most Clinical Data Manager job openings:

Infographic showing various Clinical Data Manager job openings in Kansas as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $106,049 per year, or $51 per hour.

Data Scientist - Biostatistics & Data Science

KUMC University of Kansas Medical Center

Kansas City, KS โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Department:SOM Department of Biostatistics

-----

Data ScientistPosition Title:Data Scientist - Biostatistics & Data ScienceJob Family Group: Professional StaffJob Description Summary:The Data Scientist will perform basic to intermediate-level data management including data cleaning, data entry, and report generation; participate in project meetings with collaborators; meet with end users for an in-depth understanding of informatics needs and requirements for a broad range of projects; train employees on the use of business intelligence (BI) applications; and assist with the preparation of written reports, manuscripts, and grant applications with investigators under the supervision of a Biostatistics & Data Science member. This individual will play a key role with Environmental influences on Child Health Outcomes (ECHO), IDeA States Pediatric Clinical Trials Network (ISPCTN), and Data Coordinating and Operations Center (DCOC) housed within the Department of Biostatistics & Data Science in ensuring high-quality data management across multi-site clinical trials. This position will serve as the primary point of contact between the DCOC and the participating ISPCTN sites for all data-related activities.Job Description:

Job Duties

  • Serve as the primary data management liaison with ISPCTN clinical sites.

  • Respond to site inquiries and provide timely resolution for data-related issues, including electronic data capture (EDC) access, data entry, and query management.

  • Lead the development and maintenance of study-specific data dictionaries and case report forms (CRFs), ensuring alignment with protocol requirements and standardized data elements.

  • Coordinate with stakeholders to incorporate feedback and maintain consistency across studies.

  • Develop and maintain standard operating procedures (SOPs) and workflows related to data management, EDC use, and site communication.

  • Ensure SOPs are current, aligned with best practices, and implemented across the consortium.

  • Create reports in CRIS Velos and/or Redcap under the supervisor of the Assistant Director of Data Science.

  • Create electronic case report forms (eCRFs).

  • Develop applications to enhance business decision-making capabilities.

  • Analyze existing databases, reports, and processes for opportunities to automate further or simplify utilizing BI tools.

  • Analyze data within various databases utilizing various BI tools and reporting tools to inform business decisions and actions.

  • Write database documentation, including data standards, procedures, and definitions for the data dictionary.

  • Train pertinent staff and other end-users as needed on BI applications, and train other BI specialists on various BI tools.

  • Troubleshoot user issues with BI applications.

  • Ensure research data systems and data management activities comply with applicable federal regulations, Good Clinical Practice guidelines, institutional policies, and other regulatory requirements.

  • Assist the Director of Research IT with system administration, security, maintenance, and operational oversight of research data systems.

  • Support the preparation of reports, manuscripts, and grant applications for investigators under the supervision of Assistant Director of Data Science.

  • Develop and maintain Python and R pipelines for data cleaning, preprocessing, and structuring.

  • Build and update Shiny applications to facilitate interactive data visualization and reporting.

  • Develop pipelines for imaging data harmonization, feature extraction, and quality assurance.

  • Collaborate with neuroimaging investigators to integrate imaging-derived biomarkers with clinical and behavioral datasets.

  • Support reproducible research by maintaining version-controlled analytic workflows and adhering to FAIR data principles.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible job responsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities, and activities may change at any time with or without notice.

Required Qualifications

Work Experience:

  • Four (4) years of experience in Computer Science , Information Technology, Statistics, Mathematics or related field. Relevant education may be substituted for experience on a year-for-year basis.

  • Experience with troubleshooting data-related issues.

  • Experience working in a Windows environment.

  • Experience in Relational databases.

  • Experience in creating, conducting training, or documenting Metadata, such as data dictionaries that are utilized for research.

Preferred Qualifications

Education: Bachelor's Degree in Computer Science, Information Technology, Statistics, or Mathematics.

Work Experience:

  • Two (2) years of experience in academic or private health-related research environments.

  • Experience programming in at least one higher-level language (C, C++, Java).

  • Experience with software integration, such as LDAP and Active Directory. PL/SQL, SQL functions, triggers, complex queries, SQL reports.

  • Experience working with relational databases such as Oracle, MySQL, SQL Server, and Business Intelligence tools.

  • Experience with database migration, database development, database maintenance, performance tuning, optimization, or setting up and managing database connections.

  • Experience with the automation of the ETL process between databases.

  • Experience working in a LINUX/UNIX environment.

Skills

  • Communication skills

  • Customer service skills

  • Problem-solving

  • Process and improvement skills.

  • Microsoft Office

  • Tableau

  • R

  • Python

  • SAS

Required Documents

  • Resume/CV

  • Cover Letter

Comprehensive Benefits Package:

Coverage begins on day one for health, dental, and vision insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance, long-term disability insurance, and various additional voluntary insurance plans are available. Paid time off, including vacation and sick, begins accruing upon hire, plus ten paid holidays. One paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources/benefits.html

Employee Type: RegularTime Type: Full timeRate Type: Salary

Compensation Statement:

The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education, experience and training, qualifications relative to the requirements of the position, and funding. At the University of Kansas Medical Center, a reasonable estimate for the starting pay range will be the minimum to midpoint of the posted range, taking into account the combination of factors listed above.

Pay Range:$70,200.00 - $105,300.00

Minimum

$70,200.00

Midpoint

$87,700.00

Maximum

$105,300.00