Stanford AIMI and our Industry Affiliates are seeking talented individuals who bring new perspectives and skills to our collaborative, multi-disciplinary teams. Our current opportunities include:
Individuals seeking post-doctoral scholar positions in the AIMI Center who have at least one first-author publication in machine learning for medical imaging and excellent verbal and written communication skills are encouraged to submit an application. Apply here »
Stanford Graduate Students & Clinical Trainees
Stanford graduate students who have experience in AI and medical imaging who would like to be considered for graduate student research assistant openings may submit an application here. Clinical trainees of all medical specialties who have experience in AI and are interested in collaborating on research projects are encouraged to contact us at firstname.lastname@example.org
The AIMI Center has a limited number of unpaid internships for high school and undergraduate students who are interested in getting involved in AI research in medical imaging. Interested students who meet all the qualifications below are encouraged to submit an application here. Qualified students who make it to a second selection round will be given a small coding task to assess technical skills.
- Enjoys coding and has significant Matlab or Python experience
- Understands basic machine learning concepts
- Completed basic calculus courses
- Interested in imaging analysis
- Able to attend research group meetings on the first and third Thursdays at 3pm (during school breaks)
- Able to commit at least 1 year
We are happy to consider proposals from faculty and scientists in academia and industry who are interested in spending time as a Visiting Scholar with the AIMI Center in order to advance collaborative research projects. Visiting Scholars are required to be employed or appointed at another institution or organization throughout their visiting term. Funding support for Visiting Scholars is not available at this time. Apply here »
Stanford Health Care
Radiologic Data Systems Program Manager
The Radiologic Data Systems Program Manager in collaboration with the Medical Director for Pediatric Radiology, Diagnostic Imaging Leadership, and Information Systems Department develops, implements, and supports the core functions of the Diagnostic Imaging information systems to enable data driven, cost-effective, high quality, and safe patient care. Establishes priorities for system development and is fully accountable for the results. Leads complex projects and ensures the success of enterprise-level application rollouts. The Scope of the job includes technology system development, implementations, and enhancements to existing technology systems; design specifications to support business system changes; including implementation, planning, and coordination, client testing and training and ensuring smooth turnover. This role collaborates with Clinical Leadership to optimize patient care using data while adhering to clinical regulations regarding privacy and system safety standards. Apply here »
Affiliate Job Openings
Deep Learning Scientist (Internship) - Remote/Menlo Park, CA
Subtle Medical is actively looking for highly motivated Deep Learning Scientists to join their growing team. This role involves building major product features in an iterative and collaborative environment as part of an agile team. Both entry-level and senior candidates are considered. Additional information about this internship, including a list of qualifications can be found here.
Machine Learning Software Engineer (Internship) - Remote/Menlo Park, CA
Subtle Medical is actively looking for highly motivated Machine Learning Software Engineer interns to join their growing team. This role involves building major product features in an iterative and collaborative environment as part of an agile team. Additional information about this internship, including a list of qualifications can be found here.
To apply for either of these positions, please send your resume to email@example.com.
Equal Employment Opportunity Statement: 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. Stanford also welcomes applications from others who would bring additional dimensions to the University’s research, teaching and clinical missions.