Stanford University and the Urologic Cancer Innovation Laboratory (http://ucil.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, laboratory results, radiological images and pathological findings. The successful candidate will join the Department of Urology at Stanford University and will work with a multi-disciplinary team of clinicians, statisticians, computer scientists, and trainees. This position is available immediately.
Duties include:
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.
DESIRED QUALIFICATIONS:
M.S. with relevant experience or Ph.D. in Biomedical Engineering, Electrical Engineering, Biomedical Informatics, Computer Science or related fields.
Candidates should have prior experience in software development and C++/python programming, and be familiar with toolkits, e.g., ITK, opencv, sklearn.
Candidates with experience in 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): Bachelor's degree and three years of relevant experience or combination of education and relevant experience.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
Thorough knowledge of the principles of engineering and related natural sciences.
Demonstrated project management experience.
PHYSICAL REQUIREMENTS*:
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.
WORKING CONDITIONS:
May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights ?10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather.
May require travel.
WORK STANDARDS:
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 University is an equal opportunity employer and is committed to increasing the diversity of its faculty and academic staff. It welcomes nominations of and applications from women and members of minority groups, as well as others who would bring additional dimensions to the University's research, teaching and clinical missions.
The expected pay range for this position is $98,000 to $140,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
Why work at Stanford?Stanford University has changed the world, over and over again.We are one of Silicon Valley's largest employers - and also one of the most unique. Our mission is to educate future leaders and promote interdisciplinary, world-class research and teaching. This passion makes Stanford an intensely creative, rewarding, and challenging place to work. At the same time, our traditions of respect and collaboration sustain a humane, supportive environment in which to pursue your life and your career.At Stanford you'll work with bright, diverse, dedicated people. You'll find encouragement to learn and grow. You'll enjoy excellent benefits and an outstanding environment. How will it change you?
