Stanford Radiology delivers outstanding patient care using technology, innovation, and humanity. We educate the next generation of leaders in patient care and research. We develop the next generation of imaging technology, molecular imaging, in-vitro diagnostics, image-guided therapeutics, and informatics for precision health. We promote a culture of diversity, inclusion, transparency, and integrity.
Stanford University and the Personalized Integrative Medicine Laboratory (https://pimed.stanford.edu) is seeking a creative, highly motivated, Research and Development Scientist and Engineer 1 with an interest in image processing and machine learning methods to assess disease presence, progression and treatment response in clinical applications.
Current projects are focused on identifying radiologic signatures of cancers and aggressive diseases via complex multi-modal data sets including clinical assessments, radiological and pathology images. The successful candidate will join the Department of Radiology at Stanford University and will work with a multi-disciplinary team of clinicians, statisticians, computer scientists, and trainees. This position is available immediately. This position is for 1 year fixed-term.
Design and develop specialized software, systems and tools; coordinate detailed phases of work related to responsibility for part of a major project or for an entire project of moderate scope.
Develop technical and methodological solutions to complex engineering/scientific problems requiring independent analytical thinking and advanced knowledge.
Develop creative new or improved equipment, materials, technologies, processes, methods, or software important to the advancement of the field.
Contribute technical expertise, and perform basic research and development in support of programs/projects; act as advisor/consultant in area of specialty.
Contribute to portions of published articles or presentations; prepare and write reports; draft and prepare scientific papers.
Provide technical direction to other research staff, engineering associates, technicians, and/or students, as needed.
* - Other duties may also be assigned.
Candidates should have prior experience in software development and python programming, and be familiar with toolkits, e.g., ITK, opencv, sklearn.
Candidates with experience in data science, machine learning, deep learning, radiomics, segmentation, image registration are strongly encouraged to apply.
Candidates should have demonstrated ability to work independently, attention to details, be dedicated and self-motivated.
Collaborative team spirit, strong communication skills, positive attitude and adherence to highest ethical principles are necessary to be considered.
EDUCATION & EXPERIENCE (REQUIRED):
Minimum education requirements include Bachelor's degree and three years of relevant experience or combination of education and relevant experience.
Preferred candidates will have an M.S. with relevant experience or Ph.D. in Biomedical Engineering, Electrical Engineering, Biomedical Informatics, Computer Science or related fields.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
Thorough knowledge of the principles of engineering and related natural sciences.
Demonstrated project management experience.
Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds.
Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully.
Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, use a telephone, writing by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects that weigh >40 pounds.
* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
May be exposed to confined spaces, working at heights <10 feet, unusual work hours or routine overtime and/or inclement weather.
May require travel.
WORK STANDARDS (from JDL):
Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.
Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.
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Located between San Francisco and San Jose in the heart of Silicon Valley, Stanford University is recognized as one of the world's leading research and teaching institutions. Leland and Jane Stanford founded the University to "promote the public welfare by exercising an influence on behalf of humanity and civilization." Stanford opened its doors in 1891, and more than a century later, it remains dedicated to finding solutions to the great challenges of the day and to preparing students for leadership in a complex world. The University's thriving diverse community is comprised of nearly 7000 undergraduate students, 12000 graduate students, 2000 faculty members, 1900 postdoctoral scholars, and over 11,000 academic and administrative staff in seven schools including several interdisciplinary research centers and institutes. The campus spreads over 8000 contiguous acres and nearly all undergraduates live on campus. Stanford offers bachelor's and master's degrees in addition to doctoral degrees (PhD, MD, DMA and JD) plus a number of professional and continuing education programs and certifications. More at http://facts.stanford.edu and http://www.stanford.edu. Stanford is an equal empl...oyment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University’s research, teaching and clinical missions.