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Clinical Data Manager Jobs in Kansas (NOW HIRING)

$14.75 - $19.75/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the Biostatistics & Clinical Data Management (BCDM) department in the development and maintenance of ...

$14 - $18.75/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the Biostatistics & Clinical Data Management (BCDM) department in the development and maintenance of ...

$13.50 - $18/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the Biostatistics & Clinical Data Management (BCDM) department in the development and maintenance of ...

$11.50 - $15.25/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the Biostatistics & Clinical Data Management (BCDM) department in the development and maintenance of ...

$14.50 - $19.25/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the Biostatistics & Clinical Data Management (BCDM) department in the development and maintenance of ...

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Showing results 1-20

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.

Manager, Data Science & Innovation - Wearable Devices

Colgate-Palmolive Company

Topeka, KS • On-site

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Colgate-Palmolive rating

6.4

Company rating: 6.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

Relocation Assistance Offered Within Country
Job Number #174930 - Topeka, Kansas, United States
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
 

The Manager, Wearables Data Science & Innovation is a key technical leader within the Wearables Data Science and Innovation team, reporting directly to the Director of Wearables Innovation. In this role, you will lead a cross-functional team of scientists and data engineers to extract actionable insights from 24/7 pet wearable sensor data, directly validating product performance and driving corporate strategy. This position offers an exciting opportunity to combine advanced machine learning development with people leadership to shape the future of pet care technology. Ultimately, this role is responsible for translating complex time-series data into credible, high-impact product claims and behavioral insights.

Responsibilities:

  • Lead the technical development lifecycle of advanced machine learning architectures and data pipelines tailored for wearable devices and animal behavior algorithms.

  • Oversee end-to-end ML-Ops, model training, and code quality standards to ensure reliable, on-schedule deployment of data products.

  • Partner with leadership to align the technical roadmap and capability development with broader corporate strategic objectives and long-term vision.

  • Consult on clinical and observational study designs, establishing data collection standards and quality assurance reviews for data annotation pipelines to substantiate product claims.

  • Serve as the primary technical liaison for hardware and firmware development teams to streamline system integrations, data transfer protocols, and troubleshooting.

  • Mentor and develop scientists, data scientists, and engineers, promoting continuous process improvement and a culture of collaborative technical excellence.

Required Qualifications:

  • Master’s degree in Computer Science, Data Science, Computer/Electrical Engineering, Applied Mathematics, or a related technical field.

  • 4+ years of progressive data science experience specifically focused on machine learning, signal processing, and time-series sensor data analysis.

  • Proficiency in Python or equivalent machine learning programming languages, with demonstrated software prototyping capabilities.

  • Proven familiarity with clinical or observational study designs and data collection methodologies used for claim substantiation.

Preferred Qualifications:

  • PhD in Computer Science, Data Science, Electrical Engineering, Applied Mathematics, or a related technical field.

  • Domain-specific expertise in developing machine learning models for animal behavior analysis.

  • Comprehensive knowledge of data platform architecture, cloud infrastructure (AWS, Azure, Google Cloud), CI/CD pipelines, and Git version control.

  • Strong functional competency in translating complex scientific findings into actionable business insights for non-technical stakeholders.

  • Demonstrated alignment with global core competencies, specifically Driving Innovation, Teamwork, and Planning & Priority Setting.

 


Compensation and Benefits
Salary Range $140,000.00 - $160,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives  to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
For additional Colgate terms and conditions, please click here.
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About Colgate-Palmolive

Sourced by ZipRecruiter

Colgate-Palmolive is a leading global consumer products company, tightly focused on Oral Care, Personal Care, Home Care and Pet Nutrition. Colgate sells its products in over 200 countries and territories around the world under such internationally recognized brand names as Colgate, Palmolive, elmex, Tom's of Maine, Sorriso, Speed Stick, Lady Speed Stick, Softsoap, Irish Spring, Protex, Sanex, Elta MD, PCA Skin, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill's Science Diet and Hill's Prescription Diet.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1806

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