Business Program Intern
Business Unit: Strategy & Innovation
Requisition Number: 234510
Primary Location: United States-New Jersey-Princeton
Assignment Category: Full-time temporary
Experience Level: Entry level
Education Required Level: Doctorate Degree
Travel Required: No
At Siemens Healthineers, we are passionate about enabling healthcare professionals to deliver high quality patient care, and to do so affordably. A leading global healthcare company, Siemens Healthineers continues to strengthen our portfolio of medical imaging and laboratory diagnostics, while adding new offerings such as managed services, consulting, and healthcare IT services – as well as further technologies in the growing market for therapeutic and molecular diagnostics.
Siemens Healthineers develops innovations that support better patient outcomes with greater efficiencies, giving providers the confidence they need to meet the clinical, operational and financial challenges of a changing healthcare landscape.
The Medical Imaging Technology team of Siemens Healthcare Technology Center has an internship opening in Princeton, NJ, with a focus on Operations Research. We create and deliver medical devices crucial for patient care. You will be encouraged to think out-of-the-box, innovate and find solutions to real-life problems. You will be able to witness your algorithms being used at hospitals worldwide. Our team has a strong publication record in leading journals and conferences. We are located ten minutes from the Princeton University campus, one hour from New York City and Philadelphia.
- Contribute to research/investigation pertaining to the development and evaluation of new (and existing) techniques, algorithms, and processes for:
- machine learning-based analytics
- natural language processing/NLP (including speech-enabled) applications
Contribute to scientific manuscript development based on the above-mentioned tasks
Required Knowledge/Skills, Education, and Experience
Currently enrolled as full-time student
- Extensive experience in natural language processing (NLP) and machine learning (including deep learning)
Qualified Applicants must be legally authorized for employment in the Unites States. Qualified Applicants will not require employer sponsored work authorization now or in the future for employment in the United States.
Preferred Knowledge/Skills, Education, and Experience
Experience with machine learning and deep learning techniques and libraries/frameworks
Duration: Summer with the potential to start sooner depending on availability.