Medical Data Validation Project (Laboratory Scientists)
Helium Health • Nigeria
Posted: May 19, 2026
Job Description
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 validate a target of a minimum of 3,000 records per day. This project is open to medical students, recent graduates, and licensed professionals in healthcare-related disciplines.
In line with the above, we are hiring:
- Laboratory Scientists (Medical Data)
- Validate laboratory and diagnostic data using LOINC coding standards
- Correct errors in AI-generated suggestions via the dedicated data portal
- Relevant qualification (Lab Scientist, or related clinical field)
- Exposure to clinical coding systems (ICD-10, LOINC, RxNorm).
- Proven ability to maintain high levels of accuracy and consistency when handling large volumes of data.
- Strong analytical and problem-solving skills with excellent attention to detail.
- Digitally proficient, with experience using Microsoft Excel, Google Sheets, or similar data management tools.
- Strong written and verbal communication skills, with the ability to work effectively in a fast-paced, structured environment.
- Ability to work independently, take initiative, and deliver within strict deadlines.
- Comfort working with AI-assisted workflows and structured digital tools.
- Availability for the full duration of the 2-week project, including weekends.
- Commitment to data privacy, confidentiality, and integrity.
Additional Content
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 validate a target of a minimum of 3,000 records per day. This project is open to medical students, recent graduates, and licensed professionals in healthcare-related disciplines.
In line with the above, we are hiring:
- Laboratory Scientists (Medical Data)
- Validate laboratory and diagnostic data using LOINC coding standards
- Correct errors in AI-generated suggestions via the dedicated data portal
- Relevant qualification (Lab Scientist, or related clinical field)
- Exposure to clinical coding systems (ICD-10, LOINC, RxNorm).
- Proven ability to maintain high levels of accuracy and consistency when handling large volumes of data.
- Strong analytical and problem-solving skills with excellent attention to detail.
- Digitally proficient, with experience using Microsoft Excel, Google Sheets, or similar data management tools.
- Strong written and verbal communication skills, with the ability to work effectively in a fast-paced, structured environment.
- Ability to work independently, take initiative, and deliver within strict deadlines.
- Comfort working with AI-assisted workflows and structured digital tools.
- Availability for the full duration of the 2-week project, including weekends.
- Commitment to data privacy, confidentiality, and integrity.