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Working Student (f/m/d) Model Evaluation & Data Analysis

ID de Puesto
483056
Publicado desde
04-Nov-2025
Ámbito de trabajo
Research & Development
Empresa
Siemens Healthineers AG
Nivel de experiencia
Estudiante
Tipo de jornada
Jornada parcial
Modalidad de trabajo
Híbrido (remoto/oficina)
Tipo de contrato
Temporal
Ubicación(es)
  • Forchheim - Bayern - Germany

Mode of Employment: Fixed Term / 15h/Week 


Do you want to help create the future of healthcare? Our name, Siemens Healthineers, was selected to honor our people who dedicate their energy and passion to this cause. It reflects their pioneering spirit combined with our long history of engineering in the ever-evolving healthcare industry.

We offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone in order to grow personally and professionally. Sound interesting?

Then come and join our global team as Working Student (f/m/d) to support us in Model Evaluation and Data Analysis.

Choose the best place for your work – Within the scope of this position, it is possible, in consultation with your manager, to work mobile (within Germany) up to an average volume of 60% of the respective working hours.


Your tasks and responsibilities:

  • You support in medical imaging data ingestion, ETL, machine and image data analysis (e.g., pattern discovery) and visualization
  • You help us with analyzing and auditing AI model results and contribute to the ongoing improvement and optimization of AI models
  • You support in designing and implementing evaluation methods for deployed AI models
  • You help us analyze tabular data to extract predefined information and insights

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

Your qualifications and experience:

  • You are currently enrolled as a master’s student (f/m/d) in Mathematics, Computer Science, Data Science, Medical Engineering, or a related field and ideally you are for a longer-term available
  • You already gain knowlege of Python programming
  • Skills in DICOM imaging, SQL, Grafana and AI-related risks (e.g., bias) are a plus
  • You understand medical imaging and basic statistical concepts


Your attributes and skills:

  • You have very good English skills, German skills are optional
  • You are independent, detail-oriented, curious minded and committed to learn
  • Are you a team player? Then we look forward to your application!

Our global team:

Siemens Healthineers is a leading global medical technology company. 73,000 dedicated colleagues in over 75 countries are driven to shape the future of healthcare. An estimated 5 million patients across the globe benefit every day from our innovative technologies and services in the areas of diagnostic and therapeutic imaging, laboratory diagnostics and molecular medicine, as well as digital health and enterprise services.


Our culture:

Our culture embraces different perspectives, open debate, and the will to challenge convention. Change is a constant aspect of our work. We aspire to lead the change in our industry rather than just react to it. That’s why we invite you to take on new challenges, test your ideas, and celebrate success.


As an equal opportunity employer, we welcome applications from individuals with disabilities. 
#myabilityshs


Wish to find out more before applying? Contact us: 
students.func@siemens-healthineers.comif you wish to discuss any initial questions with our recruitment team.


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. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Click here to get started.


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.

Siemens Healthineers Germany was awarded the Great Place to Work® certificate.