Posted on Wed, 10/23/2024 - 14:14

Important Info

Faculty Sponsor (Last, First Name): 
Steveson, David
Other Mentor(s) if Applicable: 
Bruce Ling
Stanford Departments and Centers: 
Pediatrics
Postdoc Appointment Term: 
Initial appointment is for 18 months, with the possibility of renewal based on performance and funding availability.
Appointment Start Date: 
11/01/2024
Group or Departmental Website: 
https://translationalmedicine.stanford.edu/
How to Submit Application Materials: 

Please send your application materials to bxling@stanford.edu with the subject line "Postdoctoral Application – AI Agents for Disease Prediction."

Does this position pay above the required minimum?: 
No. The expected base pay for this position is the Stanford University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $73,800.

We are seeking an innovative and driven postdoctoral scholar to join our research team, focusing on the development of AI agents to predict disease progression and patient outcomes using a combination of electronic medical records (EMR) and wearable technology data. This is a unique opportunity to work at the intersection of artificial intelligence and healthcare, driving innovation in personalized medicine through cutting-edge AI applications.

Position Overview: The successful candidate will develop AI agents capable of analyzing multimodal data from both EMRs and wearable devices to predict disease trajectories, treatment responses, and patient outcomes. Working closely with clinicians, data scientists, and engineers, the postdoc will play a pivotal role in transforming real-time data into actionable insights for improving patient care.

Key Responsibilities:

Develop and optimize AI agents to analyze and integrate EMR and wearable technology data for disease prediction.

  • Create models for predicting disease progression, treatment outcomes, and patient risk using both structured (e.g., lab results) and unstructured (e.g., clinical notes) data from EMRs, alongside continuous physiological data from wearable devices.
  • Collaborate with interdisciplinary teams to ensure AI models align with clinical goals and can be translated into real-world healthcare applications.
  • Present research findings at conferences and contribute to publications in leading scientific journals.
  • Mentor graduate students and support the broader research efforts of the lab
Required Qualifications: 
  • Ph.D. in Computer Science, Biomedical Informatics, Data Science, or a related field.
  • Strong expertise in machine learning, AI agent development, and multimodal data integration.
  • Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Experience with healthcare data (EMRs, wearables) and time-series analysis is highly desirable.
  • Demonstrated track record of research excellence, as evidenced by publications in high-impact journals or conferences.
  • Strong problem-solving, communication, and collaboration skills.
  • Experience developing AI systems for healthcare, particularly in disease progression and outcomes prediction.
  • Familiarity with wearable technology and real-time data analysis.
  • Experience working with large-scale healthcare datasets and cloud computing platforms.
Required Application Materials: 

Interested candidates should submit the following:

  • A cover letter detailing your research experience and career goals.
  • A curriculum vitae (CV) including a list of publications.
  • Contact information for three references.

 

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.