Research and Development Scientist and Engineer

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 ( ) and the Urologic Cancer Innovation Laboratory ( ) 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…