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Clinical Data Manager Jobs in Rio Rancho, NM (NOW HIRING)

DM Clinical

Site Manager (3580)

Albuquerque, NM · On-site

$100K - $120K/yr

... quality data to the sponsor. Also To ensure study enrollment meets or exceeds Sponsors ... Ensuring clinical trial management from FPFV to study close out with strict adherence to study ...

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Clinical Data Manager information

See Rio Rancho, NM salary details

$18

$53

$77

How much do clinical data manager jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for clinical data manager in Rio Rancho, NM is $53.77, according to ZipRecruiter salary data. Most workers in this role earn between $42.50 and $63.99 per hour, depending on experience, location, and employer.

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.

What degree do you need to be a Clinical Data Manager?

A Clinical Data Manager typically needs at least a bachelor's degree in a health-related field such as life sciences, nursing, or health informatics. Many employers prefer candidates with a master's degree or additional certifications in clinical research or data management. Strong knowledge of database tools and regulatory standards is also important for the role.

What are the key skills and qualifications needed to thrive as a Clinical Data Manager, and why are they important?

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 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 management do?

A clinical data manager is responsible for designing, implementing, and maintaining systems to collect, clean, and analyze data from clinical trials. They ensure data accuracy, integrity, and compliance with regulatory standards using tools like electronic data capture (EDC) systems. This role requires attention to detail, knowledge of Good Clinical Practice (GCP), and often involves collaboration with research teams and data analysts.

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).

How much does a Pfizer Clinical Data Manager make?

A Pfizer Clinical Data Manager typically earns between $80,000 and $120,000 annually, depending on experience, location, and level of responsibility. The role requires strong data management skills and familiarity with clinical trial software such as EDC systems.

What is the role of a Clinical Data Manager?

A Clinical Data Manager is responsible for designing, implementing, and maintaining systems to collect, manage, and ensure the quality of clinical trial data. They oversee data validation, perform data cleaning, and collaborate with study teams to ensure accurate and compliant data collection using tools like electronic data capture (EDC) systems. Their role is essential for supporting regulatory submissions and ensuring trial integrity.
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Clinical Data Manager jobs near you
Infographic showing various Clinical Data Manager job openings in Rio Rancho, NM as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 84% In-person, 6% Hybrid, and 10% Remote job distribution, with an average salary of $111,846 per year, or $53.8 per hour.
Neurosciences Data Specialist

Neurosciences Data Specialist

University of New Mexico

Albuquerque, NM • On-site

Other

Posted 3 days ago

University Of New Mexico rating

8.5

Company rating: 8.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

70th of 546 rated colleges and universities

Job description

This position is a term appointment ending 6/30/28, subject to availability of additional funding. Due to budgetary constraints, we are unable to sponsor or take over sponsorship of an employment Visa. Applicants must be authorized to work in the United States on a full-time basis.

The UNM Health Sciences Library & Informatics Center and School of Medicine's Department of Neuroscience are looking for someone innovative with experience in data curation and data science, who is excited to advance our understanding of the brain by building more robust data analytic pipelines.

The Department of Neurosciences works with numerous types of clinical and preclinical data, including: EEG, electrophysiology, microscopy, and OMICs datasets. The successful candidate will work closely with Neurosciences researchers to develop innovative solutions for research data management, curation, and sharing. The candidate will use tools such as SQL, Python, and GitHub to create and maintain novel solutions for data curation, organization, and dissemination to support cutting-edge research.

Duties include:

  • Consults with and advises Department of Neurosciences researchers on preparing and managing data to meet regulatory and funder requirements for data sharing, research transparency, and rigor.
  • Assists in designing novel solutions for data curation, organization, and dissemination to support cutting-edge research.
  • Designs, develops, and maintains reproducible data workflows.
  • Develops data pipelines, scripts, and high-quality metadata to support research replication and transparency.
  • Addresses a variety of data integration issues including migration of data between disparate sources and conversion to neurosciences-specific data standards, such as those established by Neurodata Without Borders.
  • Provides support for version control through adoption of Git-based tools and code archiving.
  • Assists in migration of data to repositories, databases, and electronic lab notebooks.
  • Assists with utilization of LabArchives for organizing and sharing research data.
  • Supervises and trains up to six students in the management of research data and creation of reproducible data pipelines.
  • Collaborates with university IT to ensure that solutions meet local requirements for data security and privacy protections.

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