Clinical AI Data Intern (Medical Student/Grad)

Siloam Hospitals Group (Tbk); Tangerang; Presencial; IDR 33.480.000 - 44.640.000; Tempo parcial

Resumo da vaga

Siloam International Hospitals invites a Clinical Data Intern (Medical Background) to join our head office in Karawaci for 3 months, working on clinical AI test cases, evaluation datasets, and documentation of use cases.

You will assist in validating medical terminology, supporting UAT and clinical validation activities, and preparing AI performance reports while upholding patient data confidentiality and collaborating with medical professionals.

Qualificações

• Final-year student or fresh graduate from Faculty of Medicine (Fakultas Kedokteran)
• Good analytical thinking and ability to work with data
• Proficient in Microsoft Excel (basic functions, data organization)
• Good communication skills and able to work collaboratively with medical professionals
• High level of integrity and understanding of patient data confidentiality
• Willing to work in Head Office (HO) - Karawaci, WFO setting for 3 months

Responsabilidades

• Assist in developing clinical AI test cases and evaluation datasets.
• Assist in evaluating AI outputs and identifying errors or inconsistencies.
• Support clinical workflow and use-case documentation.
• Assist in validating medical terminology and clinical knowledge bases.
• Support UAT and clinical validation activities.
• Assist in preparing AI performance reports and improvement recommendations.

Conhecimentos

Analytical thinking

Communication skills

Team collaboration

Integrity & confidentiality

Formação

Final-year student or recent graduate from Faculty of Medicine

Ferramentas

Microsoft Excel (basic)

Descrição da vaga

Siloam International Hospitals invites a Clinical Data Intern (Medical Background) to join our head office in Karawaci for 3 months, working on clinical AI test cases, evaluation datasets, and documentation of use cases.

You will assist in validating medical terminology, supporting UAT and clinical validation activities, and preparing AI performance reports while upholding patient data confidentiality and collaborating with medical professionals.