Stanford University
Research and Development Scientist and Engineer (1 Year Fixed-Term)
Stanford University, Stanford, California, United States, 94305
Overview
Research and Development Scientist and Engineer (1 Year Fixed-Term) – Stanford University, School of Medicine, Radiology Department, California, United States. The position is with the Personalized Integrative Medicine Laboratory and the Urologic Cancer Innovation Laboratory, focusing on developing platforms that integrate and deploy multimodal machine learning methods in clinical applications. The project aims to deploy ultrasound-MRI models for prostate cancer detection in clinical practice. The role requires managing complex multi-modal data sets (clinical assessments, laboratory results, radiological images, and pathological findings) to develop a user-friendly software that can integrate new models. The successful candidate will join a multi-disciplinary team of clinicians, statisticians, computer scientists, and trainees. This is a 1-year fixed-term position with potential 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 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 directions to other research staff, engineering associates, technicians, and/or students as needed. Note: Other duties may also be assigned. DESIRED QUALIFICATIONS
Experience in software and platform development with C++/Python/Docker/UIX programming; familiarity with toolkits such as ITK, OpenCV, sklearn. Experience in 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 with attention to detail; motivated and dedicated. Collaborative team spirit, strong communication, positive attitude, and adherence to ethical principles. Knowledge and experience in machine learning and deep learning, visualization, and platform implementation. Preferred experience in 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 or scaffolds, reach/work above shoulders, use a telephone or write by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/pull objects that weigh over 40 pounds. Note: The University provides reasonable accommodation to employees with disabilities as required by law. WORKING CONDITIONS
May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise, allergens/biohazards/chemicals, asbestos, confined spaces, temperatures extremes, heavy metals, and unusual work hours or routine overtime. May require travel. WORK STANDARDS
Interpersonal Skills: Ability to work well with Stanford colleagues, clients, and external organizations. Promote Culture of Safety: Demonstrates commitment to safety and responsible conduct; communicates safety concerns and follows safe practices. Subject to and compliant with all applicable University policies and procedures. 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. The final pay offered will consider the scope and responsibilities of the position, qualifications, budget, internal equity, location, and market pay for similar roles. At Stanford University, base pay is one aspect of the rewards package. The Cardinal at Work website provides information on benefits and rewards; specifics for this position may be discussed during the hiring process. 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 in this classification and are not designed to be a comprehensive inventory of all duties. Duties may vary by department or program needs, and employees may perform other duties as assigned. Additional Information
Schedule: Full-time Job Code: 4981 Employee Status: Fixed-Term Grade: J Requisition ID: 107461 Work Arrangement: On Site
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Research and Development Scientist and Engineer (1 Year Fixed-Term) – Stanford University, School of Medicine, Radiology Department, California, United States. The position is with the Personalized Integrative Medicine Laboratory and the Urologic Cancer Innovation Laboratory, focusing on developing platforms that integrate and deploy multimodal machine learning methods in clinical applications. The project aims to deploy ultrasound-MRI models for prostate cancer detection in clinical practice. The role requires managing complex multi-modal data sets (clinical assessments, laboratory results, radiological images, and pathological findings) to develop a user-friendly software that can integrate new models. The successful candidate will join a multi-disciplinary team of clinicians, statisticians, computer scientists, and trainees. This is a 1-year fixed-term position with potential 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 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 directions to other research staff, engineering associates, technicians, and/or students as needed. Note: Other duties may also be assigned. DESIRED QUALIFICATIONS
Experience in software and platform development with C++/Python/Docker/UIX programming; familiarity with toolkits such as ITK, OpenCV, sklearn. Experience in 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 with attention to detail; motivated and dedicated. Collaborative team spirit, strong communication, positive attitude, and adherence to ethical principles. Knowledge and experience in machine learning and deep learning, visualization, and platform implementation. Preferred experience in 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 or scaffolds, reach/work above shoulders, use a telephone or write by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/pull objects that weigh over 40 pounds. Note: The University provides reasonable accommodation to employees with disabilities as required by law. WORKING CONDITIONS
May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise, allergens/biohazards/chemicals, asbestos, confined spaces, temperatures extremes, heavy metals, and unusual work hours or routine overtime. May require travel. WORK STANDARDS
Interpersonal Skills: Ability to work well with Stanford colleagues, clients, and external organizations. Promote Culture of Safety: Demonstrates commitment to safety and responsible conduct; communicates safety concerns and follows safe practices. Subject to and compliant with all applicable University policies and procedures. 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. The final pay offered will consider the scope and responsibilities of the position, qualifications, budget, internal equity, location, and market pay for similar roles. At Stanford University, base pay is one aspect of the rewards package. The Cardinal at Work website provides information on benefits and rewards; specifics for this position may be discussed during the hiring process. 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 in this classification and are not designed to be a comprehensive inventory of all duties. Duties may vary by department or program needs, and employees may perform other duties as assigned. Additional Information
Schedule: Full-time Job Code: 4981 Employee Status: Fixed-Term Grade: J Requisition ID: 107461 Work Arrangement: On Site
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