Medical Data Roles (Short-Term Contract)
Helium Health Job Opportunity We are Helium Health, a full-service Healthtech company on a journey to digitize healthcare across Africa. We have been doing this since 2016, and our pioneering approach has helped to transform healthcare delivery systems across Sub-Saharan Africa and the GCC, creating an alternative vision for patients and providers, whilst facilitating hundreds of thousands of high-quality patient experiences every month. We are very good at creating for the market we live in, because we fully understand from our own experiences. Our innovative and reliable products are engineered for the nuances of the African landscape, empowering frontline providers to deliver excellent healthcare to patients. Our products include the Provider Digitization Suite—HeliumOS and HeliumDoc, Financial Solutions—HeliumCredit and HeliumWallet, and Our Public Health & DataPartnerships - Public Health and Data and Insights. This is a high-output, short-term 2-week project focused on standardising and validating records using AI-assisted tools. We are seeking detail-oriented professionals to join a fast-paced data alignment initiative across clinical, pharmacy, and laboratory datasets. All selected candidates will work within a structured workflow to support a combined target of a minimum of 3,000 validated records per day. In line with the above, we are hiring across the following specialist categories:
- Laboratory Scientist (Medical Data)
- Validate laboratory and diagnostic data using LOINC coding standards
- Correct errors in AI-generated suggestions via the dedicated data portal
- Pharmacy Specialist
- Map and validate medication data using RxNorm standards
- Review and correct AI-generated pharmacy-related patient records
- Clinical Specialist (Doctor)
- Assign and validate ICD-10 diagnostic codes
- Review and refine prediction engine outputs for clinical accuracy
- Project Supervisor (Senior Clinical Reviewer)
- Perform a mandatory 25% audit of all daily record batches
- Oversee quality assurance across specialist outputs
- Resolve discrepancies and ensure data integrity
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