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Artificial Intelligence (AI) Intern

Job ID
500915
發布時間
30-三月-2026
組織
Siemens Healthineers
工作領域
Research & Development
公司
Siemens Healthcare Pte Ltd
經驗等級
學生
工作职位
任選一
工作模式
僅辦公室/ 工地
工作性質
定期
地點
  • 新加坡 - - 新加坡
Do you want to join us in helping to fight the world's most threatening diseases and enabling access to care for more people around the world? At Siemens Healthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
 
We offer you a flexible and dynamic environment with opportunity to go beyond your comfort zone in order to grow personally and professionally. Sounds interesting?
 
Then come in and join us as the Artificial Intelligence (AI) Intern to support the development and demonstration of healthcare-focused AI applications, with an emphasis on medical imaging–based AI models. This role focuses on applying and integrating ready-trained AI models into clinical contexts and rapidly prototyping demo applications that showcase real-world healthcare use cases.

The AI intern will work closely with internal clinical, product, and technical teams to translate AI capabilities into practical demonstrations. This role is application- and learning-focused and does not involve training AI models from scratch.
 

Your Role:
  • You will develop demo applications using pre-trained healthcare and medical imaging AI models.
  • You will assist with the integration of AI models into clinical workflows and environments (non-API-based integrations).
  • You will prototype proof-of-concept applications for internal demonstrations.
  • You will collaborate with internal teams to validate clinical relevance, usability, and impact.
  • You will document prototypes, workflows, and learnings for internal use.

Your Expertise:
  • Currently enrolled in a Bachelor’s Degree in Singapore.
  • Proficiency in Python and/or other programming languages
  • Experience working with pre-trained AI models for inference purposes
  • Ability to build and demonstrate functional prototypes
  • Familiarity with medical imaging data (e.g., DICOM or similar formats)
  • Strong interest in healthcare and clinical AI applications
  • Exposure to healthcare IT systems or clinical environments
  • Ability to collaborate effectively with cross-functional teams
  • Awareness of healthcare data privacy and compliance concepts

To find out more about the specific business, have a look at https://www.siemens-healthineers.com


Who we are:  
 
We are a team of more than 73,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways. 
 
How we work: 
 
When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Check our Careers Site at https://jobs.siemens.com/careers 
 
As an equal opportunity employer, we welcome applications from individuals with disabilities. 
We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities. 
 
To all recruitment agencies:  
 
Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.