Clinical Data Manager at RDI Van Nuys, CA

Comunidade Metodista; Los Angeles (CA); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Health Care Plan

Retirement Plan

Life Insurance

Paid Time Off

Job summary

RDI in Los Angeles (Van Nuys area) seeks a Clinical Data Manager focused on data integrity and analysis. You will own the data from collection through regulatory-ready datasets, interfacing with clinical, lab, tech, and regulatory teams to ensure quality and compliance.

You’ll build eCRFs, validate inputs, and shape how data is analyzed and presented for FDA filings and strategic meetings. Strong Excel and EDC experience are essential.

Qualifications

• 3+ years in clinical data management or diagnostics data analysis.
• Strong Excel skills, plus familiarity with EDC platforms (Castor, Cloudbyz, REDCap, etc.).
• Exposure to basic biostatistics (sensitivity/specificity, AUC, stratification, etc.).
• Ability to write queries, troubleshoot messy data, and explain your logic to both devs and scientists.
• Bonus if you’ve worked with R, SAS, or Python to run analyses or QA data.
• Even better if you’ve touched submissions to FDA or worked in regulated diagnostics.

Responsibilities

• Build and optimize electronic case report forms (eCRFs) to simplify physician data entry and reduce protocol deviations
• Review, clean, and validate large clinical datasets (subject metadata, lab results, demographics, etc.)
• Flag inconsistencies, errors, and outliers with precision and context
• Format data to support downstream analysis (e.g., standardization, categorical formatting, units, date logic)
• Support basic statistical reporting (e.g., inclusion criteria tracking, diversity metrics, confidence intervals, ROC)
• Collaborate with our regulatory and science team to ensure final datasets support submission claims
• Partner with Salesforce developers and EDC platforms to improve the usability of our paperless trial systems
• Create reports that help us track site enrollment, sample quality, and trial performance in real time

Skills

Clinical data management

Data analysis

Excel skills

EDC platforms

Biostatistics exposure

Query writing

Tools

Castor

Cloudbyz

REDCap

SAS

R

Python

Job description

Clinical Data Manager job at RDI. Van Nuys, CA.

Job Title: Clinical Data Manager – Data Integrity & Analysis

Own the data. Shape the science.

About RDI

RDI is a CRO purpose-built for diagnostics. Since 2008, we’ve completed over 200 trials supporting some of the largest IVD companies in the world. Our mission is to get better tests to market — faster — with cleaner data, smarter tools, and zero nonsense.

We work at the intersection of research, tech, and regulatory strategy. If you care about meaningful data, and want to see your work shape real-world decisions, you’ll feel right at home here.

The Role

We’re looking for a Clinical Data Manager who does more than clean data — you think critically about how it's structured, how it will be analyzed, and whether it will hold up to regulatory scrutiny.

You’ll sit between clinical operations and biostatistics, owning the entire flow of subject- and sample-level data. You’ll build eCRFs, validate inputs, spot errors others miss, and help shape how that data is ultimately analyzed and presented.

If you’ve ever wanted to be both the person who finds the bad data and the person who can explain why it matters — this is that role.

Why This Role?

• You’ll have end-to-end ownership: from raw inputs to regulatory-ready datasets
• You’ll work across teams — clinical, lab, tech, and regulatory — with visibility and voice
• Your work won’t just live in spreadsheets. It will show up in FDA filings, strategic meetings, and patient-facing diagnostics

Key Responsibilities

• Build and optimize electronic case report forms (eCRFs) to simplify physician data entry and reduce protocol deviations
• Review, clean, and validate large clinical datasets (subject metadata, lab results, demographics, etc.)
• Flag inconsistencies, errors, and outliers with precision and context
• Format data to support downstream analysis (e.g., standardization, categorical formatting, units, date logic)
• Support basic statistical reporting (e.g., inclusion criteria tracking, diversity metrics, confidence intervals, ROC)
• Collaborate with our regulatory and science team to ensure final datasets support submission claims
• Partner with Salesforce developers and EDC platforms to improve the usability of our paperless trial systems
• Create reports that help us track site enrollment, sample quality, and trial performance in real time

Ready to own the data — and the outcome?

Join us and build something that actually matters.

Requirements

• 3+ years in clinical data management or diagnostics data analysis
• Strong Excel skills, plus familiarity with EDC platforms (Castor, Cloudbyz, REDCap, etc.)
• Exposure to basic biostatistics (even if not a statistician): sensitivity/specificity, AUC, stratification, etc.
• Ability to write queries, troubleshoot messy data, and explain your logic to both devs and scientists
• A mindset for structure, logic, and accuracy — you question the data before trusting it
• Bonus if you’ve worked with R, SAS, or Python to run analyses or QA data
• Even better if you’ve touched submissions to FDA or worked in regulated diagnostics

Ready to own the data — and the outcome?

Join us and build something that actually matters.

Benefits

• Health Care Plan (Medical, Dental & Vision)

• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)