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How much do associate clinical data manager jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for associate clinical data manager in California is $38.44, according to ZipRecruiter salary data. Most workers in this role earn between $28.94 and $38.41 per hour, depending on experience, location, and employer.

What does an associate clinical data manager do?

An Associate Clinical Data Manager is responsible for collecting, cleaning, and managing clinical trial data to ensure its accuracy, integrity, and compliance with regulatory standards. They work closely with clinical teams to design data collection tools, monitor data quality, and resolve discrepancies. Their work is crucial in supporting the analysis and reporting of clinical trial results, which can impact decisions about new medical treatments.

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

To thrive as an Associate Clinical Data Manager, you need a solid background in life sciences or related fields, strong analytical abilities, and attention to detail, often supported by a relevant bachelor's degree. Familiarity with clinical data management systems (CDMS), electronic data capture (EDC) tools like Medidata Rave, and an understanding of regulatory guidelines such as ICH-GCP are typically required. Excellent organizational skills, effective communication, and problem-solving abilities help you excel in managing complex datasets and collaborating across teams. These skills ensure data integrity, regulatory compliance, and smooth conduct of clinical trials, which are critical to successful drug development.

What are some common challenges an associate clinical data manager might face when working on multi-site clinical trials?

Associate Clinical Data Managers often encounter challenges such as ensuring data consistency across different trial sites and managing discrepancies that arise from varying data entry practices. Coordinating with site staff, monitoring data quality, and adhering to strict timelines require strong communication and organizational skills. Additionally, adapting to evolving regulatory requirements and new data management technologies can be demanding, but these challenges also offer valuable learning opportunities for career growth.
What are the most commonly searched types of Clinical Data Manager jobs in California? The most popular types of Clinical Data Manager jobs in California are:
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Associate Clinical Data Manager jobs near you
Infographic showing various Associate Clinical Data Manager job openings in California as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, 2% Temporary, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $79,959 per year, or $38.4 per hour.

Clinical Data Manager - Data Integrity & Investigation

RDI

Van Nuys, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

RDI Corporation rating

5.4

Company rating: 5.4 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

46th of 71 rated call and contact centers

Job description

When a new assay disagrees with the predicate, somebody has to figure out why. Is it the test? The specimen? The site? A single keystroke at data entry? Most "data people" report the discordance and move on. We're looking for the one who treats it as a case to crack.
You'll own subject- and sample-level data across 20-30 concurrent method-comparison and specimen-collection studies - and your real job is to make sure the dataset tells the truth. Not the convenient version. Not the version that makes a result look cleaner than it is. What actually happened. You check every cell because the truth lives in the cells, and you chase every anomaly to root cause because "looks off" is where the work starts.
Own the data. Find the true story it's hiding.
What this role actually is
  • Investigation - you trace discordant results, outliers, and drift to their source and determine whether you're looking at real signal or a data artifact.
  • Source-level verification - every critical field traced to origin; you're the one who finds the single transcription error in 10,000 rows.
  • Reconciliation - lab results, sample inventory, demographics, and visit dates agree across systems, or you find out why.
  • Telling it straight - you can stand in front of the science and regulatory team and explain what the data means, honestly - and hold the line when someone wants a prettier story than the data supports.
  • Database lock - you're accountable for the dataset that goes to FDA, and you'll defend every value in it under audit.
  • ALCOA+ / 21 CFR Part 11 - integrity isn't a checkbox here, it's the whole job.

How you'll work
  • Dig directly into raw data wherever it lives - EDC, exports, source documents - to get to the bottom of what it's saying.
  • Build and refine eCRFs and edit checks that catch bad data at entry (Castor today; we're building our own EDC - you'll help shape the system that makes the truth easy to see).
  • Set the standard for "clean" with our Philippines-based data team.
  • Sit between clinical, lab, regulatory, and engineering - your dataset is the thing all of them trust.

About RDI
At RDI Trials, we're building a different kind of CRO.
We are an IVD-focused contract research organization. Since 2008 we've run 300+ diagnostic trials for the largest test makers in the world.
This is not a traditional, process-heavy environment.
We are a small team that moves fast and expects people to take real ownership. There's no passing things along or waiting for direction. If something needs to get done, you step in and figure it out.
The pace is high. The expectations are high. But for the right person, it's a place where you can learn quickly and have real impact.
Requirements
  • 3+ years clinical data management in a regulated environment (IVD/diagnostics a strong plus).
  • An investigative instinct - you chase anomalies to root cause and aren't satisfied until you know why, not just what.
  • Hands-on EDC experience (Castor, Cloudbyz, REDCap, Medidata, or similar) and comfort working directly with raw data - we care that you get to the bottom of it, not which tool you reach for.
  • Command of the integrity discipline: SDV, query management, reconciliation, database lock, ALCOA+, Part 11.
  • Enough biostatistical literacy to tell real signal from artifact (concordance, outliers, method comparison) - without torturing the data to fit a conclusion.
  • The spine to tell the true story even when it's not the one people want to hear.
  • Bonus: FDA submission exposure (510(k), CLIA waiver); GCP/ICH familiarity.

What we're not looking for
  • Someone who reports the number without asking whether it's real.
  • A "storyteller" who starts with the conclusion and back-fills the data to match.
  • Extract, export, move on.

Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)

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