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*Summer Internship, Quantitative Translational Science, Imaging

Company: Automotive Resources Intl
Location: Boston
Posted on: December 5, 2019

Job Description:

Job ID R******* Date posted 11/14/2019 Location Boston, Massachusetts By clicking the Apply button, I understand that my employment application process with Takeda will commence and that I agree with Takeda's Privacy Notice , Privacy Policy and Terms of Use. Job Description Are you looking for a patient-focused pharmaceutical company that will inspire you and provide you with a better understanding of what working in industry might be like? If so, be empowered to take charge of your future at Takeda. Join us as a Summer Intern for 2020 in our Cambridge, MA office. Here, everyone matters and you will be a vital contributor to our inspiring, bold mission. POSITION OBJECTIVES: Takeda's summer internship program blends real world experience with an extensive overview of the pharmaceutical industry. Knowledgeable mentors will provide guidance as you gain professional hands-on experience. The summer internship program is 12 weeks in length and offers a unique perspective into a world-class pharmaceutical company. Compensation is competitive, and financed temporary housing is available to those who qualify. Our internship program also provides you the opportunity to network with people at Takeda through various planned events and activities. The Quantitative Translational Science (QTS)- Imaging group is recruiting for a summer 2020 intern. The QTS-Imaging group supports drug discovery and development by designing, conducting and managing imaging studies (e.g. MRI, CT, or PET) from early discovery through late clinical trials. QTS-Imaging's vision is to drive innovation and decision making with Imaging to bring better medicines to patients, and its mission is strategic integration of impactful imaging biomarkers to address key questions in drug discovery and development. The goals and activities of this internship can be tailored to the specific interests and strengths of the applicant. POSITION ACCOUNTABILITIES: Potential projects include developing advanced image analysis methods for clinical image data sets, or designing new approaches for modeling, classification, image processing, analysis, or machine learning of imaging data The position will support the clinical or translational image and data analysis functions in the Imaging Group. The successful applicant could be assigned various tasks in support of ongoing imaging projects. Key responsibilities will be in developing and/or validating tools/software for quantitative analysis of the imaging data in various modalities (such as MRI, CT). The person will work closely with the imaging personnel to understand the business needs as well as gain experience in a pharmaceutical industry setting. EDUCATION, BEHAVIORAL COMPETENCIES AND SKILLS: Applicants must be enrolled in a U.S. accredited university for the semester before and immediately following the internship. Applicants must be students pursing an advanced degree (e.g. MS, PhD, MD and/or DVM). Training in Electrical Engineering, Computer Science, Biomedical Engineering, Mathematics, Medicine or Life Sciences is preferred. Experience in medical image analysis, machine learning, feature analysis or radiomics is preferred. Programming skills: working experience in MATLAB or C++ or Python or some high-level programming language is required Must be deadline driven and have a high level of organizational and planning skills The ideal candidate exhibits strong analytical, problem-solving, and oral and written communication skills; they also possess the ability to work well in teams, effectively manage multiple projects, and present ideas clearly and concisely. Empowering Our People to Shine Learn more at **************. Locations Boston, MA Worker Type Employee Worker Sub-Type Paid Intern (Fixed Term) (Trainee) Time Type Full time Job ID R*******

Keywords: Automotive Resources Intl, Boston , *Summer Internship, Quantitative Translational Science, Imaging, Other , Boston, Massachusetts

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