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.
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
What You Bring
- 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
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
Ready to own the data — and the outcome?
Join us and build something that actually matters.
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