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Job description

SiemensHealthineers are looking for an On Site Magnetic Resonance (MR) Scientist tofacilitate collaborative research between Siemens and University College Londonin the field of Ultra High Field (7T) MR. This is a fixed term role for 3 years.

The Role:

The primary focus of this role willbe the conceptual design, product specification, prototype development andproduct implementation of advanced neuroimaging techniques within Ultra HighField Magnetic Resonance, with a particular focus on functional imaging(fMRI).

Theposition offers an exciting opportunity to become the interface between basicscientists, clinical researchers and Siemens Healthcare which enjoys theposition of industry leader for advancing imaging technology.

Ideally,you are experienced in working together with physicians or scientists in thefield of MR imaging, with a history of publishing in scientific journals andhave an awareness of intellectual property rights and appropriate handling ofsensitive intellectual material.


The MRI Scientist will beresponsible for implementing MR research projects in collaboration with, TheWellcome Centre for Human Neuroimaging (WCHN), one of our luminary high-endresearch partners. A substantial proportion of your time would be devoted tosupporting collaborations in ultra-high field (7T) MRI and advanced imaging,and providing consultation as well as scientific support.

An important aspect of this role isto identify potential new methods which might be developed into commerciallyviable products and, either within Siemens or in collaboration with ourexternal partners to develop a strategy to implement, validate and potentiallybring to market these ideas.

The role will offer a very closeconnection to applied and clinical science and aims to identify and assistcollaborative MR research projects. Integral to this position will be thepivotal role you will play in helping maintain Siemens Healthcare as theleading scientific and collaboration partner within the MR community.

This position will also involvesupporting and initiating additional academic collaborations with our partner.Clinical research input and direct contribution to research projects andpublications will be possible subject to the individually defined researchprojects.

Day to day duties include:

  • Developing innovative MR techniques in close cooperation with ouracademic partner and validating new neuroimaging applications in humans.

  • Facilitating translation of pre-clinical concepts to anenvironment for 'real-world' evaluation with the goal of integration intofuture products.

  • Successfully driving collaboration projects.

  • Submission of invention disclosures with the aim of protectingcompany intellectual property

  • Publishing collaboration results at scientific congresses and inpeer reviewed journals together with our collaboration partners.

  • Develop a strong relationship with the MR development team inSiemens MR Headquarters in Erlangen, Germany.

  • Become the Interface for our collaboration partner to thecollaboration, development and marketing teams in headquarters and the globalcustomer network of leading institutions collaborating with Siemens.

  • To report collaboration results back to product development andmarketing.

  • Administration and management of collaboration projects.

  • Participation at scientific workshops in the region and givingpresentations at meetings, seminars and scientific congresses.

    Required skills and experienceto qualify for this job :

  • It is anticipated that you would have a good understanding of MRphysics, engineering, pulse sequence design, and be able to demonstrate a goodknowledge of the scientific and clinical research applications of MR includingknowledge of multi transmit hardware and concepts.

  • Profound scientific MR applications, image reconstruction and/orsequence programming experience and an affinity for clinically relevantapplications development in medical imaging or research with a proven trackrecord

  • Experience of developing imaging methodologies at UHF [MC1] , ideallyfor fMRI.

  • Proficient at programming in C++, ideally with experience of theSiemens IDEA sequence development environment (SDE) and image calculationenvironment (ICE).

  • RF transmit capability using multiple channels

  • Outstanding communication skills to establish and maintainrelationships between variety of people in different roles / levels andphysical locations

  • Good networking skills

  • Strong attention to detail

  • Ability to create new and innovative solutions

  • You enjoy learning from and working across differentcultures

  • Excellent English language skills are required

    Although this role is site based, there may be some opportunities /expectation for international travel as well as within the UK and Ireland aspart of the job role.

    About us:

    Siemens Healthcare Sector is one ofthe world's largest suppliers to the healthcare industry and a pioneer inmedical imaging, laboratory diagnostics and medical information technology.

    Siemensoffers its customers products and solutions for the entire range of patientcare from a single source - from prevention and early detection to diagnosis,and on to treatment and aftercare.

    Byoptimising clinical workflows for the most common diseases, Siemens also makeshealthcare faster, better and more cost-effective.

    SiemensHealthcare employs some 51,000 employees worldwide and operates around theworld. For further information please visit:www.siemens.com/healthcare

    The Wellcome Centre for HumanNeuroimaging at UCL (incorporating the Leopold Muller Functional ImagingLaboratory (FIL) and the Wellcome Department of Imaging Neuroscience) is aninterdisciplinary centre for neuroimaging excellence within the UCL Instituteof Neurology.

    Webring together clinicians and scientists who study higher cognitive functionusing neuroimaging techniques. Our goal is to understand how thought and behaviourarise from brain activity, and how such processes break down in neurologicaland psychiatric disease.

    Ourresearch groups study all aspects of higher cognitive function includingvision, hearing, memory, language, reasoning, emotion, decision making andsocial interactions, utilising leading edge neuroimaging methodologies.

    TheCentre has a strong track record in developing imaging sequences for functionaland quantitative neuroimaging applications, as well as developing processingand analysis pipelines and computational models.

    Itis the home to Statistical Parametric Mapping (SPM), the most widely usedneuroimaging software. The Centre houses three MRI scanners (two 3Tscanners, with a 7T system to be installed in 2019), as well as MEG facilities,all dedicated to neuroscientific research.

    The Institute of Neurology (ION) inQueen Square was established in 1950, merged with UCL in 1997, and is a keycomponent of the Faculty of Brain Sciences (FBS), School of Life and MedicalSciences (SLMS), at UCL. The Institute has eightacademic research Departments ( https://www.ucl.ac.uk/ion/research/research-departments ),which encompass clinical and basic research within each theme. In parallel,there are currently six Divisions representing clinical professionalaffiliations. The mission is to translate neuroscience discovery researchinto treatments for patients with neurological diseases. In addition, a numberof important research centres are based at the Institute of Neurology,affiliated with one of our academic research departments: https://www.ucl.ac.uk/ion/research/research-centres

    The UCL Institute of Neurology hasa significant postgraduate teaching and training portfolio , with nearly 500 graduatestudents at Queen Square. The Institute employs just over 730 staff, and hostsjust under 300 honorary & visiting staff, occupies some 12,000 sqm oflaboratory, lecture room and office space, and has a current annual turnover ofapproximately £78m.

    The Institute is closely associatedin its work with the National Hospital for Neurology & Neurosurgery (NHNN),University College London Hospitals' NHS Foundation Trust, and in combinationthey form a national and international centre at Queen Square for teaching,training and research in neurology and allied clinical and basic neurosciences.The Institute also has active collaborative research programmes with othercentres of excellence and works in close partnership with them: http://www.ucl.ac.uk/ion/about/related

    A large proportion of theInstitute's funding is obtained from the Higher Education Funding Council forEngland. The most recent research assessment exercise, REF2014, showed that theIoN, as part of the FBS, is the first rated UK institution for neuroscienceresearch output.

    The Institute currently holds over578 active research projects, totaling £248m, for research from the principalmedical charities concerned with neurological diseases, and from governmentagencies such as the Medical Research Council. Generous support for research isalso provided through grant awards from the Brain Research Trust and we alsoreceive significant philanthropic support.

    UCLNeuroscience is currently rated second in the world by ISI Essential ScienceIndicators, and four of the top twelve most highly cited authors workingworldwide in neuroscience and behaviour are based at the ION. In the calendaryear 2016, Institute staff published 1428 papers, 40 book chapters and 5 books(data from UCL Discovery). 55 papers were published in the top 50 of allscientific journals (ranked by ISI impact factors), including Nature, Science,Lancet, BMJ and New England Journal of Medicine. RAND report shows that UCL hasthe highest share of highly cited publications in Neurology in England: http://www.rand.org/pubs/research_reports/RR1363.html

    There are 9 Fellows of the RoyalSociety and one Nobel Prize winner at Queen Square.


    Job ID: 88691

    Organization: Siemens Healthineers

    Company: Siemens Healthcare Limited

    Experience Level: Experienced Professional

    Job Type: Full-time
  • Job Sector
    Job Position
    Postal Code
    EC1A 4JQ
    Aldersgate St, Barbican, London EC1A 4JQ, UK Show on map
    Post date
    Closing date

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