Overview
This is an exciting opportunity for a Postdoctoral Scholar in Healthcare Data Science at Stanford University, specifically within the Pain Intelligence Lab. The lab focuses on pain science and biomedical informatics, aiming to enhance patient care through innovative research and data analysis. This position is particularly significant for those interested in the intersection of healthcare and advanced data science methodologies.
Background & Relevance
Healthcare data science is a rapidly evolving field that integrates various disciplines to improve patient outcomes. The Pain Intelligence Lab at Stanford is at the forefront of this integration, utilizing large-scale data to derive insights into chronic pain, especially in patients with autoimmune and rheumatic diseases. This research is crucial as it addresses a significant healthcare challenge, aiming to optimize treatment strategies and enhance patient quality of life through data-driven approaches.
Key Details
- Location: Stanford, California, USA
- Application Deadline: September 31, 2025
- Job Type: Full-time, Two years
- Primary Focus: Pain science, biomedical informatics, and healthcare data analysis
Eligibility & Participation
This position is targeted at individuals with a strong background in healthcare data science, machine learning, and biomedical informatics. Candidates should possess a Ph.D. in relevant fields such as Computer Science, Electrical Engineering, or Biostatistics, among others. The role is designed for those eager to contribute to impactful research in pain management and related areas.
Submission or Application Guidelines
Interested candidates should prepare the following application materials:
– Curriculum Vitae (CV)
– Cover letter detailing relevant experience
– Two references
Applications should be sent directly to Dr. Titilola Falasinnu at tof@stanford.edu.
More Information
The Pain Intelligence Lab is dedicated to advancing the understanding of chronic pain through innovative research methodologies, including machine learning and natural language processing. This initiative not only contributes to the academic community but also aims to translate research findings into clinical practices that can significantly improve patient care in rheumatology and pain medicine.
Conclusion
This postdoctoral opportunity at Stanford University represents a unique chance to engage in groundbreaking research at the intersection of healthcare and data science. Interested individuals are encouraged to apply and contribute to this vital field of study, helping to shape the future of pain management and patient care.
Category: PhD & Postdoc Positions
Tags: healthcare data science, machine learning, biomedical informatics, pain research, autoimmune diseases, rheumatology, natural language processing, deep learning, Stanford University, biostatistics, chronic pain, data analytics
