Stanford University
Research and Development Scientist and Engineer (1 Year Fixed-Term)
Stanford University, Stanford, California, United States, 94305
Research and Development Scientist and Engineer (1 Year Fixed-Term)
Join to apply for the
Research and Development Scientist and Engineer (1 Year Fixed-Term)
role at Stanford University. The Stanford University, the Personalized Integrative Medicine Laboratory in the Radiology Department and the Urologic Cancer Innovation Laboratory are 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 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
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. Required 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. Experience designing user interfaces, including image visualization and connecting platforms with docker containers. Experience in radiomics, segmentation, image registration is strongly encouraged. Ability to work independently, attention to detail, and self-motivation. Collaborative team spirit, strong communication skills, positive attitude and adherence to highest ethical principles. Knowledge and experience in machine learning and deep learning, visualization, platform implementation. Preferred: experience with medical image processing and traditional signal processing techniques. Education & Experience (required)
Bachelor\'s degree and three years of relevant experience, or a 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 up to 10 pounds. Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully. Rarely kneel/crawl, climb ladders/scaffolds, reach/work above shoulders, write by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects weighing more than 40 pounds. Reasonable accommodation as required by law is provided to applicants and employees with disabilities. Working Conditions
May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise, allergens/biohazards/chemicals, confined spaces, unusual work hours or routine overtime, and inclement weather. Travel may be required. Work Standards
Interpersonal skills: ability to work well with Stanford colleagues, clients, and external organizations. Promote a culture of safety: commit to personal responsibility, communicate safety concerns, and follow safe practices. Compliance with applicable University policies and procedures, including the personnel policies in the Administrative Guide. The expected pay range for this position is $127,211 to $154,222 per annum. Stanford University provides pay ranges as a good faith estimate of compensation. Final pay is determined based on factors such as scope and responsibilities, qualifications, departmental budget, internal equity, geographic location, and external market pay for comparable roles. Stanford offers a comprehensive rewards package; specifics will be discussed during the hiring process. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration 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 and are not a comprehensive inventory of all duties. Duties may vary by department or program needs, and employees may perform other duties as assigned.
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Join to apply for the
Research and Development Scientist and Engineer (1 Year Fixed-Term)
role at Stanford University. The Stanford University, the Personalized Integrative Medicine Laboratory in the Radiology Department and the Urologic Cancer Innovation Laboratory are 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 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
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. Required 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. Experience designing user interfaces, including image visualization and connecting platforms with docker containers. Experience in radiomics, segmentation, image registration is strongly encouraged. Ability to work independently, attention to detail, and self-motivation. Collaborative team spirit, strong communication skills, positive attitude and adherence to highest ethical principles. Knowledge and experience in machine learning and deep learning, visualization, platform implementation. Preferred: experience with medical image processing and traditional signal processing techniques. Education & Experience (required)
Bachelor\'s degree and three years of relevant experience, or a 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 up to 10 pounds. Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully. Rarely kneel/crawl, climb ladders/scaffolds, reach/work above shoulders, write by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects weighing more than 40 pounds. Reasonable accommodation as required by law is provided to applicants and employees with disabilities. Working Conditions
May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise, allergens/biohazards/chemicals, confined spaces, unusual work hours or routine overtime, and inclement weather. Travel may be required. Work Standards
Interpersonal skills: ability to work well with Stanford colleagues, clients, and external organizations. Promote a culture of safety: commit to personal responsibility, communicate safety concerns, and follow safe practices. Compliance with applicable University policies and procedures, including the personnel policies in the Administrative Guide. The expected pay range for this position is $127,211 to $154,222 per annum. Stanford University provides pay ranges as a good faith estimate of compensation. Final pay is determined based on factors such as scope and responsibilities, qualifications, departmental budget, internal equity, geographic location, and external market pay for comparable roles. Stanford offers a comprehensive rewards package; specifics will be discussed during the hiring process. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration 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 and are not a comprehensive inventory of all duties. Duties may vary by department or program needs, and employees may perform other duties as assigned.
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