Siemens Careers

Business Program Intern

Princeton, New Jersey
Engineering / R&D

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English (US)

Job Description

Division: Siemens Healthineers
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

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 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.


Responsibilities

-  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)


Remove if VISA sponsorship is available
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.


Remove if Vehicle plan not included:
Individual must possess a valid Driver's license in good standing.
Individual must be at least 21 years of age in order to participate in the required Siemens vehicle plan.


Preferred Knowledge/Skills, Education, and Experience

Experience with machine learning and deep learning techniques and libraries/frameworks



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.

EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.

Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.



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