Siemens Business Program Intern in Princeton, New Jersey

Business Program Intern

Locations:Princeton, New Jersey

Job Family: Engineering / R&D

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English (US)

Job Description

Division: Siemens Healthineers

Business Unit: Strategy & Innovation

Requisition Number: 236619

Primary Location: United States-New Jersey-Princeton

Assignment Category: Full-time temporary

Experience Level: Entry level

Education Required Level: Bachelor's Degree

Travel Required: No

Division Description:

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.

Job Description:

Position Overview

The Medical Imaging Technology team of Siemens Healthcare Technology Center has an internship opening in Princeton, NJ, with a focus on medical image analysis and artificial intelligence for image-guided interventions. Our Princeton facility is recognized for providing a stimulating environment for highly talented and self-motivated students. Driven by a strong culture of innovation, we have a record of developing cutting edge technologies and excel in translating academic research into advanced Siemens products. You will have the opportunity to test your knowledge in a challenging problem-solving environment. You will be encouraged to think out-of-the-box, innovate and find solutions to real-life problems. 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.


  • Help contribute to research projects that develop advanced medical image analysis and AI for image-guided therapy

  • Help advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences

  • Develop and apply medical imaging algorithms to large-scale, real-world problems

  • Fast prototyping, feasibility studies, specification and implementation of innovative technology components

Required Knowledge/Skills, Education, and Experience

  • Current graduate students in Computer Science, Applied Mathematics, Engineering or related disciplines for research interns. Undergraduate (junior or senior) students will be also considered for software engineering interns

  • Strong theoretical and practical background in at least one of the following fields: image processing, applied mathematics, machine learning and artificial intelligence

  • Hands-on coding skills and ability to quickly prototype in C++. Knowledge of systems for software version control (SVN, Git) and software build (CMake) is a plus.

  • Strong written and verbal communication skills in English is required

  • Excellent interpersonal skills and a can-do attitude

  • Strong collaboration skills and ability to thrive in a fast-paced environment

  • Flexibility and adaptability to work in a growing, dynamic team

Preferred Knowledge/Skills, Education, and Experience

  • Current graduate students in Computer science or biomedical engineering

  • Strong knowledge in medical imaging for image-guided therapy, with proven hands-on experience, in particular in multi-modality image fusion, sensor tracking, real-time image analytics

  • Knowledge of medical images (ultrasound, MRI, CT, x-ray)

  • Hands-on with C++ and python, with knowledge of GIT version control system

Equal Employment Opportunity Statement

Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.

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