Data Standardisation Roles at Helium Health

• Validate laboratory and diagnostic data using LOINC coding standards
• Correct errors in AI-generated suggestions via the dedicated data portal

Requirements

• Relevant qualification (Medical Doctor, Pharmacist, 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.

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• Map and validate medication data using RxNorm standards
• Review and correct AI-generated pharmacy-related patient records

Requirements

• Relevant qualification (Pharmacist 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.
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• Assign and validate ICD-10 diagnostic codes
• Review and refine prediction engine outputs for clinical accuracy

Requirements

• Relevant qualification (Medical Doctor 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.

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• Perform a mandatory 25% audit of all daily record batches
• Oversee quality assurance across specialist output
• Resolve discrepancies and ensure data integrity

Requirements

• Relevant qualification (Medical Doctor, Pharmacist, 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.