Apr 2, 2019
Healthcare Data Science Summer Internship (UC San Francisco)
Job Title
Company
Location
Description
The laboratory of Dr. John Fahy (Pulmonary Division) at the University of California San Francisco is looking for a summer intern to take part in a project to develop image-processing algorithms for analyzing chest CT scans of patients with lung disease. The ultimate goal of the project is to improve diagnosis and tailor treatment for the patients suffering from lung diseases. The intern will work closely with a resident with machine learning expertise and will interface with collaborating clinicians including radiologists and pulmonologists.
We are looking for an enthusiastic individual with interest in applying his/her computer and data science skills to an important clinical problem. The position is geared towards students with quantitative backgrounds, such as computer science, engineering or physics (and we can teach the clinical background). Master’s level students are preferred; consideration to qualified upper-level undergraduates will be given as well.
Principal duties and responsibilities:
- Development and implementation of machine and deep learning algorithms in computer vision.
- Image processing and data curation of large radiology data sets
- Work with collaborating clinicians including radiologists and pulmonologists to implement algorithms in clinical settings
Qualifications:
- Coursework or research experience in data analysis, applied physical science, signal processing, modeling, machine learning, and deep learning.
- Experience in data science, specifically deep learning, is desirable but not required.
- The applicant should be familiar with relevant computer programming and should possess:
- Fluency in a scientific scripting language such as Python or Matlab
- Know general principles of computer programming
- Have the ability to learn common tools for data management and analysis including machine learning (i.e. Tensorflow, Torch, Caffé), GPU toolsets (CUDA), database software (SQL, Mongo, or variants), and general scientific computing
- Scientific visualization for communication with interdisciplinary teams
Contact Info
For more information, contact Irina Gitlin (irina.gitlin@ucsf.edu, 415-502-4328)
How to Apply