Assistant Professor - Artificial Intelligence and Data Scientist

The Michael E. DeBakey Department of Surgery at the Baylor College of Medicine (BCM) seeks a highly qualified individual with a PhD and postdoctoral experience in Computer Science, Data Science, Medical Informatics or Equivalent Field. The Assistant Professor - Data Scientist would serve as scientific lead with Dr. Ravi Ghanta, overseeing the Department of Surgery ATLAS AI program to develop innovative AI applications in surgery and healthcare. The work spans AI applications in healthcare including machine vision, robotics, image analysis, natural language processing, and predictive modeling.

Under this role, the Assistant Professor will work with a team of post-doctoral computer scientists and engineers on NIH-funded research projects. The Assistant Professor is expected to oversee data engineering of electronic health data for machine learning applications, interoperability with electronic health record (EHR) systems, and evaluation of algorithm predictive performance. The Assistant Professor will interact directly with postdoctoral fellows, graduate students, and medical students., * Oversee and coordinate logistics and execution of various research projects.

• Manage project progress and execution of project goals and milestones.
• Plan and direct research experiments.
• Organize, evaluate, and analyze data with other researchers.
• Develop research techniques and perform applications required for specific research projects.
• Conduct literature searches and summarize information in an appropriate format for a particular study.
• Document results of experiments and reports to principal investigators.
• Supervise, schedule and coordinate the activities of the research team involved in multiple research projects.
• Write progress reports, manuscripts and grant proposals.
• Lead clinical studies and participate in research involving human subjects. Interact directly with clinicians, surgeons, and pathologists to fulfill the aims of the research projects.
• Supervise research staff including graduate and undergraduate students.

• Ph.D. in computer science, data science, medical informatics, or related field.
• Successful track record of collaboration with clinical investigators and in interdisciplinary teams; accomplished academic record sufficient to fulfill criteria for an assistant professor level faculty appointment at Baylor College of Medicine.