Siemens Careers

Clinical Applications Research Scientist Molecular Imaging

Knoxville, Tennessee
Research & Development

English (US)

Job Description

Division: Siemens Healthineers
Business Unit: Diagnostic Imaging
Requisition Number: 232390
Primary Location: United States-Tennessee-Knoxville
Assignment Category: Full-time regular
Experience Level: Mid level
Education Required Level: Master's Degree
Travel Required: 10%

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


Siemens Molecular Imaging is seeking an experienced imaging scientist to join its Clinical Applications group, reporting to the Director, Clinical Applications, in the Research and Clinical Collaborations department.   The Clinical Applications group has global responsibility for bringing clinical software applications innovations from the clinic to product, and is responsible for identifying and solving molecular imaging research problems relevant to clinicians and aligned with Siemens’ objectives.  Successful candidates will have either a strong clinical focus or a strong technical focus as described below.




The  research scientist will be responsible for developing methods, algorithms and prototypes to support transfer of  innovations into the product (PET, PET/CT, SPECT, SPECT/CT scanners, application software). The methods and algorithms should solve technical image processing problems relevant to clinical situations for the acquisition, control or clinical interpretation of Molecular Imaging data.  The scientist will create prototypes that can be used by a clinician for supervised demonstrations for validation of concepts, or independently in the context of an extensive clinical validation study.


Main responsibilities:

·         Design image processing methods and algorithms for molecular imaging

·         Perform validation of methods and algorithms

·         Support transfer of technology to engineering implementation with the relevant teams (product management, project management, analysts, testers, developers), including producing technical reports describing the method, as well as designing and creating test data and providing performance evaluation records

·         Support  clinical collaborations by enabling validation efforts

·         Support the technology/innovation roadmap for clinical applications research



Required Knowledge/Skills, Education, and Experience


Ideal candidates should have a M.S. or Ph.D. in computer science /electrical engineering / biomedical engineering or related field and a proven record in research, innovative thinking, real world problem solving, and prototyping.   A minimum of 3 years’ experience is required.  Candidates should have demonstrated experience in defining and creating research or product solutions in at least one medical imaging modality.  Candidates should have demonstrated ability to work in cross-functional teams and in international virtual teams.  International and domestic travel (10%) is required (customers and conferences).


Preferred Knowledge/Skills, Education, and Experience


Prior experience in medical product development and quality systems is preferred.    Prior experience in more than one medical imaging modality is preferred.

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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