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Clinical Data Standards Jobs (NOW HIRING)

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Clinical Data Standards information

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How much do clinical data standards jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for clinical data standards in the United States is $38.95, according to ZipRecruiter salary data. Most workers in this role earn between $29.33 and $38.94 per hour, depending on experience, location, and employer.

What is a clinical data standards?

A Clinical Data Standards job involves developing, implementing, and maintaining standardized data structures, formats, and terminologies to ensure consistency, accuracy, and regulatory compliance in clinical research. Professionals in this role work with CDISC standards (such as SDTM and ADaM), metadata management, and regulatory submission requirements. They collaborate with cross-functional teams, including data management, biostatistics, and regulatory affairs, to optimize data collection, analysis, and reporting. This role is essential for improving data quality, reducing redundancies, and ensuring seamless data integration across studies.

What are some typical challenges faced by professionals working in clinical data standards roles?

Professionals in Clinical Data Standards frequently encounter challenges such as keeping up with evolving industry standards, ensuring data consistency across complex global studies, and coordinating input from various stakeholders including clinical, regulatory, and IT teams. Managing data standardization for legacy datasets and adapting processes to meet the unique requirements of each clinical trial can also be demanding. However, these challenges offer excellent opportunities for continuous learning and skill development, making the role both dynamic and rewarding for those who enjoy problem-solving. Most roles offer a collaborative environment where teamwork and cross-functional communication are essential to success.

What are the key skills and qualifications needed to thrive in the clinical data standards position, and why are they important?

To thrive in Clinical Data Standards, you need a comprehensive understanding of clinical data management, regulatory requirements, and standards such as CDISC, supported by a relevant degree in life sciences, informatics, or a related field. Expertise with data standards tools (e.g., SAS, Pinnacle 21, Medidata Rave) and certifications like CDISC or SAS are often necessary. Strong attention to detail, analytical thinking, and effective communication skills distinguish top performers in this role. These competencies ensure the accurate and compliant structure of clinical trial data, facilitating smooth regulatory submissions and effective collaboration across multidisciplinary teams.

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What cities are hiring for Clinical Data Standards jobs?

Cities with the most Clinical Data Standards job openings:

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

The most popular types of Clinical Data Standards jobs are:

What states have the most Clinical Data Standards jobs?

States with the most job openings for Clinical Data Standards jobs include:

Infographic showing various Clinical Data Standards job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $81,020 per year, or $39 per hour.

Remote Clinical Data Standards Manager III

K3-Innovations Inc

Manhattan, NY • Remote

Full-time

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


Job description

A leading clinical data standards firm is seeking a highly experienced Data Standards Manager III to ensure clinical data standards are applied across studies. The ideal candidate will manage eCRF design, SDTM mapping, and validation processes, while guiding cross-functional teams on best practices. A strong background in CDISC standards and significant clinical research experience are required. This remote position offers the opportunity to impact global clinical data governance significantly.