Research and Development Scientist and Engineer

Overview

Research and Development Scientist and Engineer (1 Year Fixed-Term) role at Stanford University School of Medicine. The project focuses on developing a software platform to deploy ultrasound-MRI models for prostate cancer detection in clinical practices. The position involves managing complex multi-modal data sets (clinical assessments, laboratory results, radiological images, and pathological findings) to develop a user-friendly software that can integrate existing approaches and accommodate new models.

The successful candidate will join the Department of Radiology at Stanford University and work with a multidisciplinary team of clinicians, statisticians, computer scientists, and trainees. This is a 1-year fixed-term position with possible extension based on funding and mutual agreement.

• 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 and 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: experience in software and platform development with C++/Python/docker/UIX programming; familiarity with toolkits such as ITK, OpenCV, sklearn; experience designing user interfaces, including image visualization, and connecting platforms with docker containers.
• Experience in radiomics, segmentation, and image registration is strongly encouraged.
• Ability to work independently with attention to detail; self-motivated and collaborative with strong communication skills and ethical standards.
• Knowledge and experience in machine learning, deep learning, visualization, and platform implementation.
• Experience with medical image processing and traditional signal processing techniques is a plus.
• Education & Experience:
  
  Bachelor's degree with three years of relevant experience, or a combination of education and relevant experience. Preferred: MS with relevant experience or PhD in Biomedical Engineering, Electrical Engineering, Biomedical Informatics, Computer Science, or related fields.

• Strong knowledge of engineering principles and related natural sciences.
• Demonstrated project management experience.

• Frequent fine manipulation and desk-based computer tasks; ability to lift up to 10 pounds regularly and up to 40 pounds occasionally.
• Occasional standing, walking, bending, twisting; possible work above shoulder level.
• Reasonable accommodation will be provided for applicants with disabilities to perform essential functions.

• Exposure to environmental factors such as high voltage electricity, radiation or electromagnetic fields, lasers, noise, allergens/bi hazards/chemicals, confined spaces, and potential for unusual work hours or travel.

Stanford University 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. Stanford provides reasonable accommodations to applicants and employees with disabilities. Pay range for this position is provided separately during the hiring process.