You will get professional clinical data cleaning and validation by a pharmacist
Rising Talent
Project details
Stop making business decisions based on inaccurate clinical data. In healthcare, data errors aren't just typos—they are compliance risks. You don't just need a data entry clerk; you need a Clinical Data Validator.
As a Licensed Pharmacist (M.Pharm) & Data Analyst, I bridge the gap between medical terminology and data engineering. I use Python and SQL to clean your datasets while manually validating the clinical logic that software often misses.
What I Will Fix For You:
• Standardization: Mapping messy drug names to ATC/RxNorm & diagnoses to ICD-10 codes.
• Clinical Logic: Identifying impossible values (e.g., wrong dosage units or gender/diagnosis mismatches).
• Data Hygiene: Removing duplicates, fixing date formats, and handling missing values.
Why Choose Me? Unlike general VAs, I understand the clinical context of EMR records and pharmacy logs. I ensure your dataset is scientifically accurate and ready for analysis.
Tools: Python (Pandas), SQL, Excel, Google Sheets.
As a Licensed Pharmacist (M.Pharm) & Data Analyst, I bridge the gap between medical terminology and data engineering. I use Python and SQL to clean your datasets while manually validating the clinical logic that software often misses.
What I Will Fix For You:
• Standardization: Mapping messy drug names to ATC/RxNorm & diagnoses to ICD-10 codes.
• Clinical Logic: Identifying impossible values (e.g., wrong dosage units or gender/diagnosis mismatches).
• Data Hygiene: Removing duplicates, fixing date formats, and handling missing values.
Why Choose Me? Unlike general VAs, I understand the clinical context of EMR records and pharmacy logs. I ensure your dataset is scientifically accurate and ready for analysis.
Tools: Python (Pandas), SQL, Excel, Google Sheets.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$40
|
Standard
$100
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | Unlimited |
Number of Sources Mined/Scraped | 0 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$15 - $50
Additional Revision
+$10Frequently asked questions
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AR
Anders Weston R.
Dec 28, 2025
Sleep Test Analysis and Reporting
Good job, delivered fast and with good quality. Had good improvement points that is now included in the website. Recommened!
About Nur
Medical Content Writer | Pharmacist | Research-Based Health Article
Palu, Indonesia - 4:33 pm local time
My focus is not just writing, but ensuring medical accuracy, safety, and clarity in every piece of content.
I help health-related brands, clinics, and wellness platforms translate complex medical and pharmaceutical information into content that is clear, trustworthy, and accessible.
What I can help you with:
1. Patient education articles (diseases, treatments, medications)
2. Drug and supplement information content
3. Medication safety and usage guides
4. Evidence-based health blog articles
5. Simplification and editing of existing medical content (including AI-generated drafts)
My background includes:
- Clinical pharmacy training (Master’s level)
- Research-based medical writing and literature interpretation
- Experience reviewing and validating pharmaceutical content for accuracy
I combine clinical knowledge with clear communication to ensure your audience not only reads your content, but understands it and trusts it.
If you need a medical writer who prioritizes accuracy, safety, and reader-friendly communication, I’d be glad to work with you.
Steps for completing your project
After purchasing the project, send requirements so Nur can start the project.
Delivery time starts when Nur receives requirements from you.
Nur works on your project following the steps below.
Revisions may occur after the delivery date.
Data Handover & Assessment
You upload your raw dataset (Excel/CSV) and list your specific requirements. I will perform a preliminary scan to identify major data quality issues.
Deep Cleaning & Clinical Validation
I will process the data using Python/SQL to fix formatting, remove duplicates, and validate medical terms (Drug names/Diagnosis codes) against clinical standards.