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Position: Scientific Application Developer - Medical Image Analysis
Institution: F. Hoffmann-La Roche AG
Department: Pharma Research and Early Development (pRED) Informatics
Location: Basel, Switzerland
Duties: Design and implement informatics solutions to analyse clinical and pre-clinical data focused on, but not limited to medical images; Drive the end-to-end agile delivery of our projects from early stakeholder engagement, iterative software development, to deployment and life cycle support of our solutions; Explore and apply computational image analysis, novel statistical methodologies, algorithms and solutions development; Apply and advance our state-of-the-art image analysis algorithms and platforms by driving and contributing to the global PHC program
Requirements: experienced PhD level scientist with a background in Computer Science, Applied Mathematics, Statistics, or Software Engineering who is excited to work at the interface of biomedical science and informatics; Advanced knowledge of image analysis, machine learning, and statistics is essential together with a strong track record on algorithm development and end-to-end solution delivery; Several years of experience in the image analysis field; In-depth experience with image/video processing and analysis, pattern recognition, and visualization, covering various imaging modalities; Strong software engineering experience (Python, R packages, .net, ITK, VTK); Very good English language skills
   
Text: Verwenden Sie Strg+Alt+B, um zur Symbolleiste zu navigieren. Zum Hauptinhalt springen Scientific Application Developer - Medical Image Analysis Basel Headquarter Our team in Pharma Research and Early Development (pRED) Informatics is part of Roche’s global Research & Early Development Organization. The mission of our team is the design, development and delivery of innovative integrated Scientific Informatics solutions and platforms focusing on data capture, analysis, and visualization of chemical, biological and biomedical data to support scientific decision-making in all stages of the drug development processes and finally to deliver new creative treatments to the patients. We are shaping the digitalization of Pharma R&D at Roche, and we are growing. For our vision to come true, we need innovative, dedicated people from a wide variety of backgrounds. The Position The position will focus on medical image analysis, specifically processing and extracting information from images to address key scientific questions around personalized prevention and intervention to support our global Personalized Healthcare (PHC) initiatives in the ophthalmology area. In addition, you will participate in building solutions to analyse and visualize pre-clinical data from a variety of sources. The position entails the following main responsibilities: Design and implement informatics solutions to analyse clinical and pre-clinical data focused on, but not limited to medical images Drive the end-to-end agile delivery of our projects from early stakeholder engagement, iterative software development, to deployment and life cycle support of our solutions Explore and apply computational image analysis, novel statistical methodologies, algorithms and solutions development Apply and advance our state-of-the-art image analysis algorithms and platforms by driving and contributing to the global PHC program Who You Are We are looking for a motivated and experienced PhD level scientist with a background in Computer Science, Applied Mathematics, Statistics, or Software Engineering who is excited to work at the interface of biomedical science and informatics. Advanced knowledge of image analysis, machine learning, and statistics is essential together with a strong track record on algorithm development and end-to-end solution delivery. If you have the following skills and qualifications, we look forward to receiving your application: Several years of experience in the image analysis field, in an academic or industrial setting, preferably in close collaboration with medical or biological scientist In-depth experience with image/video processing and analysis, pattern recognition, and visualization, covering various imaging modalities Academic publication track record in related fields and motivation to constantly extend your knowledge of the field and related methods Hands-on experience with deep learning applied to image classification and/or image segmentation (TensorFlow, Keras or PyTorch) Experience in classical image analysis, model-based analysis methods, model validation, engineering, and integration of end-to-end predictive modelling pipelines Strong software engineering experience (Python, R packages, .net, ITK, VTK) Strong technical experience (Unix command line, SQL, slurm, git, high performance computing, unit testing, continuous integration) Shown ability to work in agile collaborative software projects (SCRUM) with both open source and commercial solutions Very good English language skills, capacity to communicate effectively and provide high quality visual representations of achieved results Dedicated attitude with the ability to engage with diverse collaborators and to adapt to changing environments Who We Are At Roche, 80,000 people across 150 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity, and on seeing each other’s differences as an advantage. To innovate healthcare, Roche has ambitious plans to keep learning and growing - and is seeking people who have the same goals for themselves. Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual’s race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law. For questions please call the Recruiting Team Switzerland +41 61 682 25 50. Roche ist ein Arbeitgeber, bei dem Chancengleichheit zählt. Research & Development, Research & Development > Research Informatics Vor 7 Tagen ausgeschrieben Vollzeit 201810-122870 Über uns Wir sind uns bewusst, wie wichtig es ist, medizinische Lösungen heute zur Verfügung zu stellen und gleichzeitig Innovationen für morgen zu entwickeln. Wir arbeiten mit Leidenschaft daran, die Gesundheit und das Leben von Patientinnen und Patienten zu verbessern. Wir zeigen Mut in unseren Entscheidungen und in unserem Tun. Und wir sind davon überzeugt, dass gutes und erfolgreiches Handeln zu einer besseren Welt beiträgt. Das ist der Grund, warum wir täglich zur Arbeit kommen. Wir fühlen uns der Wissenschaft verpflichtet, setzen höchste ethische Massstäbe und bekennen uns zum Zugang zu medizinischen Innovationen für alle. Wir tun dies, um an einer besseren Zukunft mitzuwirken. Wir sind stolz darauf, wer wir sind, was wir leisten und wie wir dabei vorgehen. Wir sind viele und arbeiten Hand in Hand - über Funktionen, Standorte und Länder hinweg. 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