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Opportunities

We are now hiring graduate students, post-doctoral scholars, and research staff.  Stanford’s AIMI laboratory is hiring talented individuals who bring new perspectives and skills to our multi-disciplinary team.  If you are looking for collaborative clinicians and engineers across multiple Stanford schools, and exciting projects with high clinical relevance, then you are in the right place.  Review the postings below and apply now by sending us an email (aimilab-info@lists.stanford.edu) with a cover letter, CV, and three references!


Post-doctoral Fellow

As a post-doctoral fellow at AIMI you will work to apply machine learning techniques to solve challenging clinical problems and build models and solutions for our physicians and patients.  AIMI is a unique place to expose the state-of-the-art machine learning algorithms to the medical imaging practice environment and help transform medical practice. We work closely with partners from numerous schools across the Stanford campus as well as large technology companies and startups to manage practical clinical problems and bring our advances directly to patients. AIMI’s Infrastructure and Research teams are composed of engineers and practicing clinicians which positions our teams for maximal impact.  At AIMI we have just started to scratch the surface, and we are eagerly looking for talented team members with expertise in Deep Learning, Computer Vision, Natural Language Processing, and other ML/AI fields. 

Responsibilities

  • Participate in cutting-edge research in artificial intelligence and machine learning applications.
  • Develop solutions for real-world, large-scale problems.

Qualifications

  • PhD degree in Computer Science, related Machine Learning field or equivalent practical experience.
  • Publication record in AI/ML and computer vision.
  • Experience in any of the following: Computer Vision, Video Processing and Understanding, Image Processing, Speech Recognition, Natural Language Understanding, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, HCI, Data Mining, AI+Healthcare, Computational Genomics, other Machine Intelligence/Artificial Intelligence related areas.
  • Programming experience in one or more of the following: C, C++, Python.

Graduate Student

As a graduate student with AIMI you will work to apply machine learning techniques to solve challenging clinical problems and build models and solutions for our physicians and patients.  Applicants must be currently enrolled or a recent graduate with a BS/BA in data science, computer science, or a related discipline. Applicants are ideally seeking career opportunities in Data Science or Computer Vision. The objective of this opportunity will be to leverage education and experience to contribute to a variety of data science and computer vision projects in medical imaging applications.

What will be learned from this experience?  Mentorship will be provided in data science, computer vision, natural language processing, medical imaging, and technical decision-making for research projects. Time will be allocated to answering questions, listening, and relationship building for teams of clinician and computer science/engineer mentors. There will be opportunities for the grad student to demonstrate effective and professional communication, critical thinking in problem identification and analysis, and understanding of the impacts of technical decisions on the health care landscape.

Responsibilities

  • Help implement existing object detection, segmentation, and recognition efforts
  • Develop image manipulation frameworks for R&D computer vision projects
  • Research, present, and test state of the art technologies in data science and computer vision
  • Test new and optimize existing pipelines for data acquisition and cleaning
  • Assist with scaling prototype data science and computer vision projects to production environments
  • Support efforts to deploy imaging and other sensors in the field for data acquisition Identify opportunities to streamline processes and/or identify process barriers to improve overall efficiencies
  • Ad hoc projects

Qualifications (experience and skills can be varied)

  • Python is strongly preferred
  • Jupyter notebooks for exploratory data analysis
  • High-performance computing (CPU & GPU) in a Linux environment
  • Image analysis (OpenCV, scikit-image, etc.)
  • Deep learning frameworks (Tensorflow, Keras, Caffe)
  • Machine learning and data visualization (scikit-learn, matplotlib, etc.)
  • Big data technologies (Spark)
  • Cloud computing resources (AWS, Azure)
  • Attention to detail, the ability to multi-task and excellent communication skills
  • Highly motivated and able to complete tasks with limited supervision

Research Coordinator

AIMI’s research projects span the entire Stanford  University - including the hospital, medical school, and undergraduate campus.  Our large diversity of projects require managers to keep the big picture and primary AIMI mission in focus. As a research program coordinator, you will help lead complex, multi-disciplinary projects by managing project schedules, identifying and clearly communicating goals to project stakeholders, and helping to manage personnel. The project efforts require a high level of coordination and research project tracking, all of which needs to be led by this role.

Requirements

  • Strong analytical, problem-solving and organizational skills.
  • Collaborative, detail-oriented, and execution-focused with strong written and verbal communication skills
  • Proven project management experience (+ references), interpersonal, and communication skills, with high attention to detail.
  • Demonstrated ability to lead complex operational projects with a cross-functional team
  • Time management and prioritization skills.

Qualifications

Minimum qualifications:

  • BS or equivalent practical experience.
  • 2 years of experience managing projects.

Preferred qualifications:

  • 4 years relevant work experience.
  • Hands on experience in demand forecasting and planning in consumer electronics for multi-national businesses
  • Strong analytical, problem-solving and organizational skills.
  • Collaborative, detail-oriented, and execution-focused. Strong written and verbal communication skills. Proven project management, interpersonal, and communication skills, with high attention to detail.
  • Demonstrated ability to lead complex operational projects with a cross-functional team; time management and prioritization skills.