Research and Development Scientist and Engineer (1 Year Fixed-Term) at Stanford University summary:
This fixed-term position at Stanford University involves developing and deploying multimodal machine learning software platforms for clinical applications, specifically prostate cancer detection using ultrasound-MRI models. The role requires handling complex clinical and imaging data, designing user-friendly software interfaces, and collaborating with multidisciplinary teams. Candidates should have expertise in programming (C++, Python), machine learning, medical image processing, and project management, preferably with advanced degrees in related technical fields.
Stanford University, the Personalized Integrative Medicine Laboratory in the Radiology Department (https://pimed.stanford.edu/) 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 developing platforms that integrate and deploy multimodal machine learning methods in clinical applications.
The project is focused on developing a software platform to deploy our existing ultrasound-MRI models for prostate cancer detection in clinical practices. The position requires managing complex multi-modal data sets including clinical assessments, laboratory results, radiological images and pathological findings, to develop a user-friendly software that will encompass existing approaches and allows for easy integration of new models. 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 and has a 1-year duration, with possibility of extension based on funding availability and mutual agreement.
Duties include*:
- Design and develop specialized software and tools; coordinate detailed phases of work related to responsibility for part of a major project.
- 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.
- Optional: Contribute to portions of published articles or presentations; prepare and write reports; draft and prepare scientific papers.
- Provide technical directions to other research staff, engineering associates, technicians, and/or students, as needed.
* - Other duties may also be assigned.
DESIRED QUALIFICATIONS:
- Candidates should have prior experience in software and platform development and C++/python/docker/UIX programming, and be familiar with toolkits, e.g., ITK, opencv, sklearn.
- Candidate should have prior experience with Designing User Interfaces, including image visualization and connect platforms with docker containers.
- 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.
- The candidate should have knowledge and experience in machine learning and deep learning, visualization, platform implementation.
- The preferred candidate would also have experience with medical image processing, and traditional signal processing techniques.
EDUCATION & EXPERIENCE (REQUIRED):
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.
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 of 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.
The expected pay range for this position is $127,211 to $154,222 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.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.
Stanford is an equal employment 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.
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
Keywords:
machine learning, medical image processing, software development, ultrasound MRI, clinical applications, radiomics, biomedical engineering, Python programming, C++, research and development
